Table of Contents

• Access Characteristic-based Cache Replacement Policy in an SSDJoohyeong Yoon, Won Woo Ro. 1-4 [doi]
• How to Fully Exploit The Abilities of Aerial Image DetectorsJunyi Zhang, Junying Huang, Xuankun Chen, Dongyu Zhang. 1-8 [doi]
• ASSR: A Lightweight Super Resolution Network with Aggregative StructureRuipeng Gang, Shuai Liu, Chenghua Li, Ruixia Song. 1-10 [doi]
• Content-Consistent Generation of Realistic Eyes with StyleMarcel Bühler, Seonwook Park, Shalini De Mello, Xucong Zhang, Otmar Hilliges. 1-5 [doi]
• Few-Shot Structured Domain Adaptation for Virtual-to-Real Scene ParsingJunyi Zhang, Ziliang Chen, Junying Huang, Liang Lin, Dongyu Zhang. 9-17 [doi]
• Crowd Counting on Images with Scale Variation and Isolated ClustersHaoyue Bai, Song Wen, S.-H. Gary Chan. 18-27 [doi]
• Learning Cascaded Context-Aware Framework for Robust Visual TrackingDing Ma, Xiangqian Wu 0002. 28-36 [doi]
• SlimYOLOv3: Narrower, Faster and Better for Real-Time UAV ApplicationsPengyi Zhang, Yunxin Zhong, Xiaoqiong Li. 37-45 [doi]
• Multi Target Tracking from Drones by Learning from Generalized Graph DifferencesHåkan Ardö, Mikael G. Nilsson. 46-54 [doi]
• i-Siam: Improving Siamese Tracker with Distractors Suppression and Long-Term StrategiesWei Ren Tan, Shang-Hong Lai. 55-63 [doi]
• Spatial Attention for Multi-Scale Feature Refinement for Object DetectionHaoran Wang, Zexin Wang, Meixia Jia, Aijin Li, Tuo Feng, Wenhua Zhang, Licheng Jiao. 64-72 [doi]
• Real-Time Aerial Suspicious Analysis (ASANA) System for the Identification and Re-Identification of Suspicious Individuals using the Bayesian ScatterNet Hybrid (BSH) NetworkAmarjot Singh, Kranthi Kiran G. V., Onkar Harsh, Rishav Kumar, Koushlendra Singh Rajput, Chandra S. S. Vamsi. 73-81 [doi]
• An Indoor Crowd Detection Network Framework Based on Feature Aggregation Module and Hybrid Attention Selection ModuleWenxiang Shen, Pinle Qin, Jianchao Zeng. 82-90 [doi]
• Deep Adaptive Fusion Network for High Performance RGBT TrackingYuan Gao, Chenglong Li, Yabin Zhu, Jin Tang, Tao He, Futian Wang. 91-99 [doi]
• RRNet: A Hybrid Detector for Object Detection in Drone-Captured ImagesChangrui Chen, Yu Zhang, Qingxuan Lv, Shuo Wei, Xiaorui Wang, Xin Sun, Junyu Dong. 100-108 [doi]
• Accuracy and Long-Term Tracking via Overlap Maximization Integrated with Motion ContinuityWenhua Zhang, Haoran Wang, Zhongjian Huang, Yuxuan Li, Jinliu Zhou, Licheng Jiao. 109-117 [doi]
• Dense and Small Object Detection in UAV Vision Based on Cascade NetworkXindi Zhang, Ebroul Izquierdo, Krishna Chandramouli. 118-126 [doi]
• Patch-Level Augmentation for Object Detection in Aerial ImagesSungeun Hong, Sungil Kang, Donghyeon Cho. 127-134 [doi]
• Multi-Object Tracking Hierarchically in Visual Data Taken From DronesSiyang Pan, Zhihang Tong, Yanyun Zhao, Zhicheng Zhao, Fei Su, BoJin Zhuang. 135-143 [doi]
• Real-Time UAV Tracking Based on PSR StabilityYong Wang, Lu Ding, Robert Laganière. 144-152 [doi]
• Vision-Based Online Localization and Trajectory Smoothing for Fixed-Wing UAV Tracking a Moving TargetYong Zhou, Dengqing Tang, Han Zhou, Xiaojia Xiang, Tianjiang Hu. 153-160 [doi]
• Multiple Object Tracking with Motion and Appearance CuesWeiqiang Li, Jiatong Mu, Guizhong Liu. 161-169 [doi]
• Flow Guided Short-Term Trackers with Cascade Detection for Long-Term TrackingHan Wu, Xueyuan Yang, Yong Yang, Guizhong Liu. 170-178 [doi]
• A Novel Spatial and Temporal Context-Aware Approach for Drone-Based Video Object DetectionZhaoliang Pi, Yanchao Lian, Xier Chen, Yinan Wu, Yingping Li, Licheng Jiao. 179-188 [doi]
• VisDrone-MOT2019: The Vision Meets Drone Multiple Object Tracking Challenge ResultsLongyin Wen, Yue Zhang, Liefeng Bo, Hailin Shi, Rui Zhu, Ajit Jadhav, Bing Dong, Brejesh Lall, Chang Liu 0040, Chunhui Zhang, Dong Wang, Pengfei Zhu, Feng Ni, Filiz Bunyak, Gaoang Wang, Guizhong Liu, Guna Seetharaman, Guorong Li, Håkan Ardö, Haotian Zhang, Hongyang Yu, Huchuan Lu, Dawei Du, Jenq-Neng Hwang, Jiatong Mu, Jinrong Hu, Kannappan Palaniappan, Long Chen, Lu Ding, Martin Lauer, Mikael Nilsson, Noor M. Al-Shakarji, Prerana Mukherjee, Xiao Bian, Qingming Huang, Robert Laganière, Shuhao Chen, Siyang Pan, Vinay Kaushik, Wei Shi, Wei Tian, Weiqiang Li, Xin Chen, Xinyu Zhang, Haibin Ling, Yanting Zhang, Yanyun Zhao, Yong Wang, Yuduo Song, Yuehan Yao, Zhaotang Chen, Zhenyu Xu, Zhibin Xiao, Zhihang Tong, Zhipeng Luo, Qinghua Hu, Zhuojin Sun, Jiayu Zheng, Tao Peng, Xinyao Wang. 189-198 [doi]
• VisDrone-SOT2019: The Vision Meets Drone Single Object Tracking Challenge ResultsDawei Du, Yue Zhang, Liefeng Bo, Hailin Shi, Rui Zhu, Bo Han, Chunhui Zhang, Guizhong Liu, Han Wu, Hao Wen, Haoran Wang, Pengfei Zhu, Jiaqing Fan, Jie Chen, Jie Gao, Jie Zhang, Jinghao Zhou, Jinliu Zhou, Jinwang Wang, Jiuqing Wan, Josef Kittler, Kaihua Zhang, Longyin Wen, Kaiqi Huang, Kang Yang, Kangkai Zhang, Lianghua Huang, Lijun Zhou, Lingling Shi, Lu Ding, Ning Wang, Peng Wang, Qintao Hu, Xiao Bian, Robert Laganière, Ruiyan Ma, Ruohan Zhang, Shanrong Zou, Shengwei Zhao, Shengyang Li, Shengyin Zhu, Shikun Li, Shiming Ge, Shiyu Xuan, Haibin Ling, Tianyang Xu, Ting He, Wei Shi, Wei Song, Weiming Hu, Wenhua Zhang, Wenjun Zhu, Xi Yu, Xianhai Wang, Xiaojun Wu, Qinghua Hu, Xiaotong Li, Xiaoxue Li, Xiaoyue Yin, Xin Zhang, Xin Zhao, Xizhe Xue, Xu Lei, Xueyuan Yang, Yanjie Gao, Yanyun Zhao, Jiayu Zheng, Yinda Xu, Ying Li, Yong Wang, Yong Yang, Yuting Yang, Yuxuan Li, Zeyu Wang, Zhenhua Feng, Zhipeng Zhang, Zhiyong Yu, Tao Peng, Zhizhao Duan, Zhuojin Sun, Xinyao Wang. 199-212 [doi]
• VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge ResultsDawei Du, Yue Zhang, Zexin Wang, Zhikang Wang, Zichen Song, Ziming Liu, Liefeng Bo, Hailin Shi, Rui Zhu, Aashish Kumar, Aijin Li, Almaz Zinollayev, Anuar Askergaliyev, Arne Schumann, Binjie Mao, Pengfei Zhu, Byeongwon Lee, Chang Liu, Changrui Chen, Chunhong Pan, Chunlei Huo, Da Yu, Dechun Cong, Dening Zeng, Dheeraj Reddy Pailla, Di Li, Longyin Wen, Dong Wang, Donghyeon Cho, Dongyu Zhang, Furui Bai, George Jose, Guangyu Gao, Guizhong Liu, Haitao Xiong, Hao Qi, Haoran Wang, Xiao Bian, Heqian Qiu, Hongliang Li, Huchuan Lu, Ildoo Kim, Jaekyum Kim, Jane Shen, Jihoon Lee, Jing Ge, Jingjing Xu, Jingkai Zhou, Haibin Lin, Jonas Meier, Jun Won Choi, Junhao Hu, Junyi Zhang, Junying Huang, Kaiqi Huang, Keyang Wang, Lars Sommer, Lei Jin, Lei Zhang, Qinghua Hu, Lianghua Huang, Lin Sun, Lucas Steinmann, Meixia Jia, Nuo Xu, Pengyi Zhang, Qiang Chen, Qingxuan Lv, Qiong Liu, Qishang Cheng, Tao Peng, Sai Saketh Chennamsetty, Shuhao Chen, Shuo Wei, Srinivas S. S. Kruthiventi, Sungeun Hong, Sungil Kang, Tong Wu, Tuo Feng, Varghese Alex Kollerathu, Wanqi Li, Jiayu Zheng, Wei Dai, Weida Qin, Weiyang Wang, Xiaorui Wang, Xiaoyu Chen, Xin Chen, Xin Sun, Xin Zhang, Xin Zhao, Xindi Zhang, Xinyao Wang, Xinyu Zhang, Xuankun Chen, Xudong Wei, Xuzhang Zhang, Yanchao Li, Yifu Chen, Yu Heng Toh, Yu Zhang, Yu Zhu, Yunxin Zhong. 213-226 [doi]
• VisDrone-VID2019: The Vision Meets Drone Object Detection in Video Challenge ResultsPengfei Zhu, Yue Zhang, Liefeng Bo, Hailin Shi, Rui Zhu, Bing Dong, Dheeraj Reddy Pailla, Feng Ni, Guangyu Gao, Guizhong Liu, Haitao Xiong, Dawei Du, Jing Ge, Jingkai Zhou, Jinrong Hu, Lin Sun, Long Chen, Martin Lauer, Qiong Liu, Sai Saketh Chennamsetty, Ting Sun, Tong Wu, Longyin Wen, Varghese Alex Kollerathu, Wei Tian, Weida Qin, Xier Chen, Xingjie Zhao, Yanchao Lian, Yinan Wu, Ying Li, Yingping Li, Yiwen Wang, Xiao Bian, Yuduo Song, Yuehan Yao, Yunfeng Zhang, Zhaoliang Pi, Zhaotang Chen, Zhenyu Xu, Zhibin Xiao, Zhipeng Luo, Ziming Liu, Haibin Ling, Qinghua Hu, Tao Peng, Jiayu Zheng, Xinyao Wang. 227-235 [doi]
• Count, Crop and Recognise: Fine-Grained Recognition in the WildMax Bain, Arsha Nagrani, Daniel Schofield, Andrew Zisserman. 236-246 [doi]
• Geo-Aware Networks for Fine-Grained RecognitionGrace Chu, Brian Potetz, Weijun Wang, Andrew Howard, Yang Song, Fernando Brucher, Thomas Leung, Hartwig Adam. 247-254 [doi]
• Great Ape Detection in Challenging Jungle Camera Trap Footage via Attention-Based Spatial and Temporal Feature BlendingXinyu Yang, Majid Mirmehdi, Tilo Burghardt. 255-262 [doi]
• ELPephants: A Fine-Grained Dataset for Elephant Re-IdentificationMatthias Körschens, Joachim Denzler. 263-270 [doi]
• DeepBees - Building and Scaling Convolutional Neuronal Nets For Fast and Large-Scale Visual Monitoring of Bee HivesJulian Marstaller, Frederic Tausch, Simon Stock. 271-278 [doi]
• Learning Deep Features for Giant Panda Gender Classification using Face ImagesHongnian Wang, Han Su, Peng Chen, Rong Hou, Zhihe Zhang, Weiyi Xie. 279-285 [doi]
• Pose-Guided Complementary Features Learning for Amur Tiger Re-IdentificationNing Liu, Qijun Zhao, Nan Zhang, Xinhua Cheng, Jianing Zhu. 286-293 [doi]
• A Hybrid Approach to Tiger Re-IdentificationAnkita Shukla, Connor Anderson, Gullal Singh Cheema, Pei Gao, Suguru Onda, Divyam Anshumaan, Saket Anand, Ryan Farrell. 294-301 [doi]
• A Strong Baseline for Tiger Re-ID and its Bag of TricksJiwen Yu, Haibo Su, Junnan Liu, Zhizheng Yang, Zhouyangzi Zhang, Yixin Zhu, Lu Yang, Bingliang Jiao. 302-309 [doi]
• Fast and Efficient Model for Real-Time Tiger Detection In The WildOrest Kupyn, Dmitry Pranchuk. 310-314 [doi]
• Part-Pose Guided Amur Tiger Re-IdentificationCen Liu, Rong Zhang, Lijun Guo. 315-322 [doi]
• Domain-Agnostic Learning With Anatomy-Consistent Embedding for Cross-Modality Liver SegmentationJunlin Yang, Nicha C. Dvornek, Fan Zhang, Juntang Zhuang, Julius Chapiro, Ming De Lin, James S. Duncan. 323-331 [doi]
• Unimodal-Uniform Constrained Wasserstein Training for Medical DiagnosisXiaofeng Liu, Xu Han, Yukai Qiao, Yi Ge, Site Li, Lu Jun. 332-341 [doi]
• Deep Multiresolution Cellular Communities for Semantic Segmentation of Multi-Gigapixel Histology ImagesSajid Javed, Arif Mahmood, Naoufel Werghi, Nasir M. Rajpoot. 342-351 [doi]
• KNEEL: Knee Anatomical Landmark Localization Using Hourglass NetworksAleksei Tiulpin, Iaroslav Melekhov, Simo Saarakkala. 352-361 [doi]
• DeepLIMa: Deep Learning Based Lesion Identification in MammogramsZhenjie Cao, Zhicheng Yang, Xiaoyan Zhuo, Ruei-Sung Lin, Shibin Wu, Lingyun Huang, Mei Han, Yanbo Zhang, Jie Ma. 362-370 [doi]
• Breast Tumor Cellularity Assessment Using Deep Neural NetworksAlexander Rakhlin, Aleksei Tiulpin, Alexey A. Shvets, Alexandr A. Kalinin, Vladimir I. Iglovikov, Sergey I. Nikolenko. 371-380 [doi]
• Retinal Image Classification via Vasculature-Guided Sequential AttentionMengliu Zhao, Ghassan Hamarneh. 381-387 [doi]
• CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology ImagesYanning Zhou, Simon Graham, Navid Alemi Koohbanani, Muhammad Shaban, Pheng-Ann Heng, Nasir M. Rajpoot. 388-398 [doi]
• Using the Triplet Loss for Domain Adaptation in WCEPablo Laiz, Jordi Vitrià, Santi Seguí. 399-405 [doi]
• Bi-Directional ConvLSTM U-Net with Densley Connected ConvolutionsReza Azad, Maryam Asadi-Aghbolaghi, Mahmood Fathy, Sergio Escalera. 406-415 [doi]
• UPI-Net: Semantic Contour Detection in Placental UltrasoundHuan Qi, Sally L. Collins, J. Alison Noble. 416-424 [doi]
• RethNet: Object-by-Object Learning for Detecting Facial Skin ProblemsShohrukh Bekmirzaev, Seoyoung Oh, Sangwook Yo. 425-433 [doi]
• Prostate Cancer Inference via Weakly-Supervised Learning using a Large Collection of Negative MRIRuiming Cao, Xinran Zhong, Fabien Scalzo, Steven S. Raman, Kyung Hyun Sung. 434-439 [doi]
• Building a Breast-Sentence Dataset: Its Usefulness for Computer-Aided DiagnosisHyebin Lee, Seong-Tae Kim, Yong Man Ro. 440-449 [doi]
• Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain AdaptationEgor Panfilov, Aleksei Tiulpin, Stefan Klein, Miika T. Nieminen, Simo Saarakkala. 450-459 [doi]
• Photometric Transformer Networks and Label Adjustment for Breast Density PredictionJaehwan Lee, Donggeun Yoo, Hyo-Eun Kim. 460-466 [doi]
• Branding - Fusion of Meta Data and Musculoskeletal Radiographs for Multi-Modal Diagnostic RecognitionObioma Pelka, Felix Nensa, Christoph M. Friedrich. 467-475 [doi]
• WhiteNNer-Blind Image Denoising via Noise Whiteness PriorsSaeed Izadi, Zahra Mirikharaji, Mengliu Zhao, Ghassan Hamarneh. 476-484 [doi]
• ArcFace for Disguised Face RecognitionJiankang deng, Stefanos Zafeiriou. 485-493 [doi]
• BASN: Enriching Feature Representation Using Bipartite Auxiliary Supervisions for Face Anti-SpoofingTaewook Kim, Yonghyun Kim, Inhan Kim, Daijin Kim 0001. 494-503 [doi]
• Dual Attention MobDenseNet(DAMDNet) for Robust 3D Face AlignmentLei Jiang, Xiao-jun Wu, Josef Kittler. 504-513 [doi]
• Enhancing Human Face Recognition with an Interpretable Neural NetworkTimothy Zee, Geeta Gali, Ifeoma Nwogu. 514-522 [doi]
• Tensor Linear Regression and Its Application to Color Face RecognitionQuanxue Gao, Jiafeng Cheng, De-Yan Xie, Pu Zhang, Wei Xia, Qianqian Wang. 523-531 [doi]
• Feature Ensemble Networks with Re-Ranking for Recognizing Disguised Faces in the WildArulkumar Subramaniam, Ajay Narayanan Sridhar, Anurag Mittal. 532-541 [doi]
• Disguised Faces in the Wild 2019Maneet Singh, Mohit Chawla, Richa Singh 0001, Mayank Vatsa, Rama Chellappa. 542-550 [doi]
• Face Representation Learning using Composite Mini-BatchesEvgeny Smirnov, Andrei Oleinik, Aleksandr Lavrentev, Elizaveta Shulga, Vasiliy Galyuk, Nikita Garaev, Margarita Zakuanova, Aleksandr Melnikov. 551-559 [doi]
• Learning Disentangled Representations via Independent SubspacesMaren Awiszus, Hanno Ackermann, Bodo Rosenhahn. 560-568 [doi]
• Uncalibrated Non-Rigid Factorisation by Independent Subspace AnalysisSami Sebastian Brandt, Hanno Ackermann, Stella Grasshof. 569-578 [doi]
• Robust Discrimination and Generation of Faces using Compact, Disentangled EmbeddingsBjörn Browatzki, Christian Wallraven. 579-588 [doi]
• Tensor Subspace Learning and Classification: Tensor Local Discriminant Embedding for Hyperspectral ImageLei He, Hongwei Yang, Lina Zhao. 589-598 [doi]
• Tensor Train Decomposition for Efficient Memory Saving in Perceptual Feature-MapsTaehyeon Kim, Jieun Lee, Yoonsik Choe. 599-604 [doi]
• Low-Rank Tensor TrackingSajid Javed, Jorge Dias 0001, Naoufel Werghi. 605-614 [doi]
• Structuring AutoencodersMarco Rudolph, Bastian Wandt, Bodo Rosenhahn. 615-623 [doi]
• Structure-Constrained Feature Extraction by Autoencoders for Subspace ClusteringKewei Tang, Kaiqiang Xu, Zhixun Su, Wei Jiang 0007, Xiaonan Luo, Xiyan Sun. 624-632 [doi]
• Deep Closed-Form Subspace ClusteringJunghoon Seo, Jamyoung Koo, Taegyun Jeon. 633-642 [doi]
• Panoramic Video Separation with Online Grassmannian Robust Subspace EstimationKyle Gilman, Laura Balzano. 643-651 [doi]
• Topological Labelling of Scene using Background/Foreground Separation and Epipolar GeometryHiroki Hiraoka, Atsushi Imiya. 652-660 [doi]
• Complete Moving Object Detection in the Context of Robust Subspace LearningMaryam Sultana, Arif Mahmood, Thierry Bouwmans, Soon Ki Jung. 661-668 [doi]
• Classifying and Comparing Approaches to Subspace Clustering with Missing DataConnor Lane, Ron Boger, Chong You, Manolis C. Tsakiris, Benjamin D. Haeffele, René Vidal. 669-677 [doi]
• Adaptive Online k-Subspaces with Cooperative Re-InitializationConnor Lane, Benjamin D. Haeffele, René Vidal. 678-688 [doi]
• Enhanced Memory Network for Video SegmentationZhishan Zhou, Lejian Ren, Pengfei Xiong, Yifei Ji, Peisen Wang, Haoqiang Fan, Si Liu 0001. 689-692 [doi]
• Motion-Guided Spatial Time Attention for Video Object SegmentationQiang Zhou, Zilong Huang, Lichao Huang, Yongchao Gong, Han Shen, Wenyu Liu 0001, Xinggang Wang. 693-696 [doi]
• Going Deeper Into Embedding Learning for Video Object SegmentationZongxin Yang, Peike Li, Qianyu Feng, Yunchao Wei, Yi Yang 0001. 697-700 [doi]
• Towards Good Practices for Video Object SegmentationDongdong Yu, Kai Su, Hengkai Guo, Jian Wang, Kaihui Zhou, Yuanyuan Huang, Minghui Dong, Jie Shao, Changhu Wang. 701-704 [doi]
• Exploring the Combination of PReMVOS, BoLTVOS and UnOVOST for the 2019 YouTube-VOS ChallengeJonathon Luiten, Paul Voigtlaender, Bastian Leibe. 705-708 [doi]
• Video Instance Segmentation 2019: A Winning Approach for Combined Detection, Segmentation, Classification and TrackingJonathon Luiten, Philip H. S. Torr, Bastian Leibe. 709-712 [doi]
• An Empirical Study of Detection-Based Video Instance SegmentationQiang Wang, Yi He, Xiaoyun Yang, Zhao Yang, Philip H. S. Torr. 713-716 [doi]
• Dual Embedding Learning for Video Instance SegmentationQianyu Feng, Zongxin Yang, Peike Li, Yunchao Wei, Yi Yang 0001. 717-720 [doi]
• Temporal Feature Augmented Network for Video Instance SegmentationMinghui Dong, Jian Wang, Yuanyuan Huang, Dongdong Yu, Kai Su, Kaihui Zhou, Jie Shao, Shiping Wen, Changhu Wang. 721-724 [doi]
• Spatio-Temporal Attention Network for Video Instance SegmentationXiaoyu Liu, Haibing Ren, Tingmeng Ye. 725-727 [doi]
• Squeezed Bilinear Pooling for Fine-Grained Visual CategorizationQiyu Liao, Dadong Wang, Hamish Holewa, Min Xu. 728-732 [doi]
• Learning to Find Correlated Features by Maximizing Information Flow in Convolutional Neural NetworksWei Shen, Fei Li, Rujie Liu. 733-737 [doi]
• Exploring Dynamic Routing As A Pooling LayerLei Zhao, Lei Huang. 738-742 [doi]
• Interpreting Intentionally Flawed Models with Linear ProbesMara Graziani, Henning Müller, Vincent Andrearczyk. 743-747 [doi]
• Function Norms for Neural NetworksAmal Rannen Triki, Maxim Berman, Vladimir Kolmogorov, Matthew B. Blaschko. 748-752 [doi]
• Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers?Martin Mundt, Iuliia Pliushch, Sagnik Majumder, Visvanathan Ramesh. 753-757 [doi]
• Direct Validation of the Information Bottleneck Principle for Deep NetsAdar Elad, Doron Haviv, Yochai Blau, Tomer Michaeli. 758-762 [doi]
• Lautum Regularization for Semi-Supervised Transfer LearningDaniel Jakubovitz, Miguel R. D. Rodrigues, Raja Giryes. 763-767 [doi]
• A Novel Adversarial Inference Framework for Video Prediction with Action ControlZhihang Hu, Jason Tsong-Li Wang. 768-772 [doi]
• Efficient Priors for Scalable Variational Inference in Bayesian Deep Neural NetworksRanganath Krishnan, Mahesh Subedar, Omesh Tickoo. 773-777 [doi]
• UGLLI Face Alignment: Estimating Uncertainty with Gaussian Log-Likelihood LossAbhinav Kumar, Tim K. Marks, Wenxuan Mou, Chen Feng, Xiaoming Liu. 778-782 [doi]
• OpenVINO Deep Learning Workbench: Comprehensive Analysis and Tuning of Neural Networks InferenceYury Gorbachev, Mikhail Fedorov, Iliya Slavutin, Artyom Tugarev, Marat Fatekhov, Yaroslav Tarkan. 783-787 [doi]
• Stochastic Relational NetworkKang Min Yoo, Hyun Soo Jo, Hanbit Lee, Jeeseung Han, Sang-goo Lee. 788-792 [doi]
• On the Geometry of Rectifier Convolutional Neural NetworksMatteo Gamba, Hossein Azizpour, Stefan Carlsson, Mårten Björkman. 793-797 [doi]
• Attack Agnostic Statistical Method for Adversarial DetectionSambuddha Saha, Aashish Kumar, Pratyush Sahay, George Jose, Srinivas S. Kruthiventi, Harikrishna Muralidhara. 798-802 [doi]
• Estimation of Absolute Scale in Monocular SLAM Using Synthetic DataDanila Rukhovich, Daniel Mouritzen, Ralf Kaestner, Martin Rufli, Alexander Velizhev. 803-812 [doi]
• Short-Term Prediction and Multi-Camera Fusion on Semantic GridsLukas Hoyer, Patrick Kesper, Anna Khoreva, Volker Fischer 0003. 813-821 [doi]
• Probabilistic Vehicle Reconstruction Using a Multi-Task CNNMax Coenen, Franz Rottensteiner. 822-831 [doi]
• Unsupervised Labeled Lane Markers Using MapsKarsten Behrendt, Ryan Soussan. 832-839 [doi]
• Boxy Vehicle Detection in Large ImagesKarsten Behrendt. 840-846 [doi]
• ShelfNet for Fast Semantic SegmentationJuntang Zhuang, Junlin Yang, Lin Gu, Nicha C. Dvornek. 847-856 [doi]
• Monocular 3D Object Detection with Pseudo-LiDAR Point CloudXinshuo Weng, Kris Kitani. 857-866 [doi]
• Road Scene Understanding by Occupancy Grid Learning from Sparse Radar Clusters using Semantic SegmentationLiat Sless, Bat El Shlomo, Gilad Cohen, Shaul Oron. 867-875 [doi]
• Reverse and Boundary Attention Network for Road SegmentationJee-Young Sun, Seung Wook Kim, Sang-Won Lee, Ye-Won Kim, Sung Jea Ko. 876-885 [doi]
• Small Obstacle Avoidance Based on RGB-D Semantic SegmentationMinjie Hua, Yibing Nan, Shiguo Lian. 886-894 [doi]
• Robust Absolute and Relative Pose Estimation of a Central Camera System from 2D-3D Line CorrespondencesHichem Abdellali, Robert Frohlich, Zoltan Kato. 895-904 [doi]
• End-to-end Lane Detection through Differentiable Least-Squares FittingWouter Van Gansbeke, Bert De Brabandere, Davy Neven, Marc Proesmans, Luc Van Gool. 905-913 [doi]
• Temporal Coherence for Active Learning in VideosJavad Zolfaghari Bengar, Abel Gonzalez-Garcia, Gabriel Villalonga, Bogdan Raducanu, Hamed Habibi Aghdam, Mikhail Mozerov, Antonio M. López 0001, Joost van de Weijer. 914-923 [doi]
• Vehicle Detection With Automotive Radar Using Deep Learning on Range-Azimuth-Doppler TensorsBence Major, Daniel Fontijne, Amin Ansari, Ravi Teja Sukhavasi, Radhika Gowaiker, Michael Hamilton, Sean Lee, Slawomir K. Grzechnik, Sundar Subramanian. 924-932 [doi]
• Exploiting Temporality for Semi-Supervised Video SegmentationRadu Sibechi, Olaf Booij, Nora Baka, Peter Bloem. 933-941 [doi]
• LU-Net: An Efficient Network for 3D LiDAR Point Cloud Semantic Segmentation Based on End-to-End-Learned 3D Features and U-NetPierre Biasutti, Vincent Lepetit, Jean-François Aujol, Mathieu Brédif, Aurélie Bugeau. 942-950 [doi]
• I Bet You Are Wrong: Gambling Adversarial Networks for Structured Semantic SegmentationLaurens Samson, Nanne van Noord, Olaf Booij, Michael Hofmann, Efstratios Gavves, Mohsen Ghafoorian. 951-960 [doi]
• Extreme Low Resolution Action Recognition with Spatial-Temporal Multi-Head Self-Attention and Knowledge DistillationDidik Purwanto, Rizard Renanda Adhi Pramono, Yie-Tarng Chen, Wen-Hsien Fang. 961-969 [doi]
• Online Multi-Task Clustering for Human Motion SegmentationGan Sun, Yang Cong, Lichen Wang, Zhengming Ding, Yun Fu. 970-979 [doi]
• Image Deconvolution with Deep Image and Kernel PriorsZhunxuan Wang, Zipei Wang, Qiqi Li, Hakan Bilen. 980-989 [doi]
• Feature Aggregation Network for Video Face RecognitionZhaoxiang Liu, Huan Hu, Jinqiang Bai, Shaohua Li, Shiguo Lian. 990-998 [doi]
• Recognizing Compressed Videos: Challenges and PromisesReza Pourreza, Amir Ghodrati, AmirHossein Habibian. 999-1007 [doi]
• Evidence Based Feature Selection and Collaborative Representation Towards Learning Based PSF Estimation for Motion DeblurringRohan Raju Dhanakshirur, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi. 1008-1016 [doi]
• SNIDER: Single Noisy Image Denoising and Rectification for Improving License Plate RecognitionYounkwan Lee, Juhyun Lee, Hoyeon Ahn, Moongu Jeon. 1017-1026 [doi]
• Low Quality Video Face Recognition: Multi-Mode Aggregation Recurrent Network (MARN)Sixue Gong, Yichun Shi, Anil K. Jain 0001. 1027-1035 [doi]
• Non-Discriminative Data or Weak Model? On the Relative Importance of Data and Model ResolutionMark Sandler, Jonathan Baccash, Andrey Zhmoginov, Andrew Howard. 1036-1044 [doi]
• Are Adversarial Robustness and Common Perturbation Robustness Independent Attributes ?Alfred Laugros, Alice Caplier, Matthieu Ospici. 1045-1054 [doi]
• Generatively Inferential Co-Training for Unsupervised Domain AdaptationCan Qin, Lichen Wang, Yulun Zhang, Yun Fu. 1055-1064 [doi]
• Unsupervised Deep Feature Transfer for Low Resolution Image ClassificationYuanwei Wu, Ziming Zhang, Guanghui Wang. 1065-1069 [doi]
• Indoor Depth Completion with Boundary Consistency and Self-AttentionYu-Kai Huang, Tsung-Han Wu, Yueh-Cheng Liu, Winston H. Hsu. 1070-1078 [doi]
• Intra-Camera Supervised Person Re-Identification: A New BenchmarkXiangping Zhu, Xiatian Zhu, Minxian Li, Vittorio Murino, Shaogang Gong. 1079-1087 [doi]
• Unsupervised Outlier Detection in Appearance-Based Gaze EstimationZhaokang Chen, Didan Deng, Jimin Pi, Bertram E. Shi. 1088-1097 [doi]
• GSR-MAR: Global Super-Resolution for Person Multi-Attribute RecognitionThomhert Suprapto Siadari, Mikyong Han, Hyunjin Yoon. 1098-1103 [doi]
• State-of-the-Art in Action: Unconstrained Text DetectionDiep Thi Ngoc Nguyen. 1104-1111 [doi]
• Real-Time Age-Invariant Face Recognition in Videos Using the ScatterNet Inception Hybrid Network (SIHN)Saurabh Bodhe, Prathamesh Kapse, Amarjot Singh. 1112-1120 [doi]
• Recognizing Tiny FacesSiva Chaitanya Mynepalli, Peiyun Hu, Deva Ramanan. 1121-1130 [doi]
• A Generalized and Robust Method Towards Practical Gaze Estimation on Smart PhoneTianchu Guo, Yongchao Liu, Hui Zhang, Xiabing Liu, Youngjun Kwak, ByungIn Yoo, Jae-Joon Han, Changkyu Choi. 1131-1139 [doi]
• Learning to Personalize in Appearance-Based Gaze TrackingErik Lindén, Jonas Sjöstrand, Alexandre Proutière. 1140-1148 [doi]
• On-Device Few-Shot Personalization for Real-Time Gaze EstimationJunfeng He, Khoi Pham, Nachiappan Valliappan, Pingmei Xu, Chase Roberts, Dmitry Lagun, Vidhya Navalpakkam. 1149-1158 [doi]
• RT-BENE: A Dataset and Baselines for Real-Time Blink Estimation in Natural EnvironmentsKévin Cortacero, Tobias Fischer 0001, Yiannis Demiris. 1159-1168 [doi]
• SalGaze: Personalizing Gaze Estimation using Visual SaliencyZhuoqing Chang, J. Matias Di Martino, Qiang Qiu, Steven Espinosa, Guillermo Sapiro. 1169-1178 [doi]
• Neighbourhood Context Embeddings in Deep Inverse Reinforcement Learning for Predicting Pedestrian Motion Over Long Time HorizonsTharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes. 1179-1187 [doi]
• Weakly-Supervised Completion Moment Detection using Temporal AttentionFarnoosh Heidarivincheh, Majid Mirmehdi, Dima Damen. 1188-1196 [doi]
• Uncertainty-Aware Anticipation of ActivitiesYazan Abu Farha, Juergen Gall. 1197-1204 [doi]
• Deepfake Video Detection through Optical Flow Based CNNIrene Amerini, Leonardo Galteri, Roberto Caldelli, Alberto Del Bimbo. 1205-1207 [doi]
• Dance Dance Generation: Motion Transfer for Internet VideosYipin Zhou, Zhaowen Wang, Chen Fang, Trung Bui, Tamara L. Berg. 1208-1216 [doi]
• Attributes Preserving Face De-IdentificationBin Yan, Mingtao Pei, Zhengang Nie. 1217-1221 [doi]
• Measuring Crowd Collectiveness via Global Motion CorrelationLing Mei, Jian-Huang Lai, Zeyu Chen, Xiaohua Xie. 1222-1231 [doi]
• Facial Pose Estimation by Deep Learning from Label DistributionsZhaoxiang Liu, Zezhou Chen, Jinqiang Bai, Shaohua Li, Shiguo Lian. 1232-1240 [doi]
• Fitting, Comparison, and Alignment of Trajectories on Positive Semi-Definite Matrices with Application to Action RecognitionBenjamin Szczapa, Mohamed Daoudi, Stefano Berretti, Alberto Del Bimbo, Pietro Pala, Estelle M. Massart. 1241-1250 [doi]
• Falls Prediction Based on Body Keypoints and Seq2Seq ArchitectureMinjie Hua, Yibing Nan, Shiguo Lian. 1251-1259 [doi]
• Voice Activity Detection by Upper Body Motion Analysis and Unsupervised Domain AdaptationMuhammad Shahid, Cigdem Beyan, Vittorio Murino. 1260-1269 [doi]
• Pose and Expression Robust Age Estimation via 3D Face Reconstruction from a Single ImageNedko Savov, Minh Ngô, Sezer Karaoglu, Hamdi Dibeklioglu, Theo Gevers. 1270-1278 [doi]
• Robust Cloth Warping via Multi-Scale Patch Adversarial Loss for Virtual Try-On FrameworkKumar Ayush, Surgan Jandial, Ayush Chopra, Mayur Hemani, Balaji Krishnamurthy. 1279-1281 [doi]
• The Instantaneous Accuracy: a Novel Metric for the Problem of Online Human Behaviour Recognition in Untrimmed VideosMarcos Baptista-Ríos, Roberto Javier López-Sastre, Fabian Caba Heilbron, Jan van Gemert, Francisco Javier Acevedo-Rodríguez, Saturnino Maldonado-Bascón. 1282-1284 [doi]
• FakeTalkerDetect: Effective and Practical Realistic Neural Talking Head Detection with a Highly Unbalanced DatasetHyeonseong Jeon, Youngoh Bang, Simon S. Woo. 1285-1287 [doi]
• Temporal Accumulative Features for Sign Language RecognitionAhmet Alp Kindiroglu, Ogulcan Özdemir, Lale Akarun. 1288-1297 [doi]
• Enhancing Visual Embeddings through Weakly Supervised Captioning for Zero-Shot LearningMatteo Bustreo, Jacopo Cavazza, Vittorio Murino. 1298-1307 [doi]
• ProtoGAN: Towards Few Shot Learning for Action RecognitionSai Kumar Dwivedi, Vikram Gupta, Rahul Mitra, Shuaib Ahmed, Arjun Jain. 1308-1316 [doi]
• Deep Metric Transfer for Label Propagation with Limited Annotated DataBin Liu, Zhirong Wu, Han Hu, Stephen Lin. 1317-1326 [doi]
• Task-Discriminative Domain Alignment for Unsupervised Domain AdaptationBehnam Gholami, Pritish Sahu, Minyoung Kim, Vladimir Pavlovic. 1327-1336 [doi]
• Bayesian 3D ConvNets for Action Recognition from Few ExamplesMartin de la Riva, Pascal Mettes. 1337-1343 [doi]
• Input and Weight Space Smoothing for Semi-Supervised LearningSafa Cicek, Stefano Soatto. 1344-1353 [doi]
• Picking Groups Instead of Samples: A Close Look at Static Pool-Based Meta-Active LearningIgnasi Mas, Ramon Morros, Verónica Vilaplana. 1354-1362 [doi]
• Zero-Shot Semantic Segmentation via Variational MappingNaoki Kato, Toshihiko Yamasaki, Kiyoharu Aizawa. 1363-1370 [doi]
• Retro-Actions: Learning 'Close' by Time-Reversing 'Open' VideosWill Price, Dima Damen. 1371-1380 [doi]
• Meta Module Generation for Fast Few-Shot Incremental LearningShudong Xie, Yiqun Li, Dongyun Lin, Tin Lay Nwe, Sheng Dong. 1381-1390 [doi]
• Adversarial Joint-Distribution Learning for Novel Class Sketch-Based Image RetrievalAnubha Pandey, Ashish Mishra, Vinay Kumar Verma, Anurag Mittal. 1391-1400 [doi]
• Weakly Supervised One Shot SegmentationHasnain Raza, Mahdyar Ravanbakhsh, Tassilo Klein, Moin Nabi. 1401-1406 [doi]
• Object Grounding via Iterative Context ReasoningLei Chen, Mengyao Zhai, Jiawei He, Greg Mori. 1407-1415 [doi]
• Zero-Shot Hyperspectral Image Denoising With Separable Image PriorRyuji Imamura, Tatsuki Itasaka, Masahiro Okuda. 1416-1420 [doi]
• PotSAC: A Robust Axis Estimator for Axially Symmetric Pot FragmentsJe Hyeong Hong, Young-Min Kim, Koang-Chul Wi, Jinwook Kim. 1421-1428 [doi]
• Craquelure as a Graph: Application of Image Processing and Graph Neural Networks to the Description of Fracture PatternsOleksii Sidorov, Jon Yngve Hardeberg. 1429-1436 [doi]
• Attention-Aware Age-Agnostic Visual Place RecognitionZiqi Wang, Jiahui Li, Seyran Khademi, Jan van Gemert. 1437-1446 [doi]
• End-to-End Partial Convolutions Neural Networks for Dunhuang Grottoes Wall-Painting RestorationTianxiu Yu, Cong Lin, Shijie Zhang, Shaodi You, Xiaohong Ding, Jian Wu, Jiawan Zhang. 1447-1455 [doi]
• Recurrent Convolutions for Causal 3D CNNsGurkirt Singh, Fabio Cuzzolin. 1456-1465 [doi]
• Level Selector Network for Optimizing Accuracy-Specificity Trade-OffsAhsan Iqbal, Juergen Gall. 1466-1473 [doi]
• End-to-End Video CaptioningSilvio Olivastri, Gurkirt Singh, Fabio Cuzzolin. 1474-1482 [doi]
• Video Representation Learning by Dense Predictive CodingTengda Han, Weidi Xie, Andrew Zisserman. 1483-1492 [doi]
• Towards Segmenting Anything That MovesAchal Dave, Pavel Tokmakov, Deva Ramanan. 1493-1502 [doi]
• Video-Text Compliance: Activity Verification Based on Natural Language InstructionsMayoore Jaiswal, Peter Hofstee, Valerie Chen, Suvadip Paul, Rogerio Feris, Frank Liu, Anupama Jagannathan, Anne Gattiker, Inseok Hwang, Jinho Lee, Matthew Tong, Sahil Dureja, Soham Shah. 1503-1512 [doi]
• Interpretable Spatio-Temporal Attention for Video Action RecognitionLili Meng, Bo Zhao, Bo Chang, Gao Huang, Wei Sun, Frederick Tung, Leonid Sigal. 1513-1522 [doi]
• Markov Decision Process for Video GenerationVladyslav Yushchenko, Nikita Araslanov, Stefan Roth 0001. 1523-1532 [doi]
• Enhancing Temporal Action Localization with Transfer Learning from Action RecognitionAhsan Iqbal, Alexander Richard, Juergen Gall. 1533-1540 [doi]
• Temporal U-Nets for Video Summarization with Scene and Action RecognitionHeeseung Kwon, Woohyun Shim, Minsu Cho. 1541-1544 [doi]
• Video Summarization by Learning Relationships between Action and SceneJungin Park, Jiyoung Lee, Sangryul Jeon, Kwanghoon Sohn. 1545-1552 [doi]
• Video Multitask Transformer NetworkHongje Seong, Junhyuk Hyun, Euntai Kim. 1553-1561 [doi]
• Comprehensive Video Understanding: Video Summarization with Content-Based Video Recommender DesignYudong Jiang, Kaixu Cui, Bo Peng, Changliang Xu. 1562-1569 [doi]
• Efficient Real-Time Camera Based Estimation of Heart Rate and Its VariabilityAmogh Gudi, Marian Bittner, Roelof Lochmans, Jan van Gemert. 1570-1579 [doi]
• On the Vector Space in Photoplethysmography ImagingChristian S. Pilz. 1580-1588 [doi]
• A-MAL: Automatic Motion Assessment Learning from Properly Performed Motions in 3D Skeleton VideosTal Hakim, Ilan Shimshoni. 1589-1598 [doi]
• Who Goes There? Exploiting Silhouettes and Wearable Signals for Subject Identification in Multi-Person EnvironmentsAlessandro Masullo, Tilo Burghardt, Dima Damen, Toby Perrett, Majid Mirmehdi. 1599-1607 [doi]
• Dynamic Facial Models for Video-Based Dimensional Affect EstimationSiyang Song, Enrique Sánchez-Lozano, Mani Kumar Tellamekala, LinLin Shen, Alan Johnston, Michel F. Valstar. 1608-1617 [doi]
• Multimodal Deep Models for Predicting Affective Responses Evoked by MoviesHa Thi Phuong Thao, Dorien Herremans, Gemma Roig. 1618-1627 [doi]
• Single-Image Facial Expression Recognition Using Deep 3D Re-CentralizationZhipeng Bao, Shaodi You, Lin Gu, Zhenglu Yang. 1628-1636 [doi]
• Clinical Scene Segmentation with Tiny DatasetsThomas J. Smith, Michel F. Valstar, Don Sharkey, John Crowe. 1637-1645 [doi]
• Performance Evaluation of Visual Object Detection and Tracking Algorithms Used in Remote PhotoplethysmographyChangchen Zhao, Peiyi Mei, Shoushuai Xu, Yongqiang Li, Yuanjing Feng. 1646-1655 [doi]
• Camera-Based On-Line Short Cessation of Breathing DetectionIlde Lorato, Sander Stuijk, Mohammed Meftah, Wim Verkruijsse, Gerard de Haan. 1656-1663 [doi]
• Contact-Free Monitoring of Physiological Parameters in People With Profound Intellectual and Multiple DisabilitiesGasper Slapnicar, Erik Dovgan, Pia Cuk, Mitja Lustrek. 1664-1672 [doi]
• Micro Expression Classification using Facial Color and Deep Learning MethodsHadas Shahar, Hagit Hel-Or. 1673-1680 [doi]
• A Thermal Camera Based Continuous Body Temperature Measurement SystemJia-Wei Lin, Ming-Hung Lu, Yuan-Hsiang Lin. 1681-1687 [doi]
• Architectural Tricks for Deep Learning in Remote PhotoplethysmographyMikhail Kopeliovich, Yuriy Mironenko, Mikhail Petrushan. 1688-1696 [doi]
• Impact of Sympathetic Activation in Imaging PhotoplethysmographyAlexander Woyczyk, Stefan Rasche, Sebastian Zaunseder. 1697-1705 [doi]
• Combating the Impact of Video Compression on Non-Contact Vital Sign Measurement Using Supervised LearningEwa Nowara, Daniel McDuff. 1706-1712 [doi]
• Modeling on the Feasibility of Camera-Based Blood Glucose MeasurementYiyin Wang, Wenjin Wang, Mark van Gastel, Gerard de Haan. 1713-1720 [doi]
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• Visual Relationships as Functions: Enabling Few-Shot Scene Graph PredictionApoorva Dornadula, Austin Narcomey, Ranjay Krishna, Michael Bernstein, Fei-Fei Li 0001. 1730-1739 [doi]
• Spatial Residual Layer and Dense Connection Block Enhanced Spatial Temporal Graph Convolutional Network for Skeleton-Based Action RecognitionCong Wu, Xiao-jun Wu, Josef Kittler. 1740-1748 [doi]
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• Attention-Translation-Relation Network for Scalable Scene Graph GenerationNikolaos Gkanatsios, Vassilis Pitsikalis, Petros Koutras, Petros Maragos. 1754-1764 [doi]
• SynthRel0: Towards a Diagnostic Dataset for Relational Representation LearningDaniel Dorda, Moin Nabi. 1765-1771 [doi]
• Scene Graph Prediction with Limited LabelsVincent S. Chen, Paroma Varma, Ranjay Krishna, Michael Bernstein, Christopher Ré, Fei-Fei Li 0001. 1772-1782 [doi]
• Triplet-Aware Scene Graph EmbeddingsBrigit Schroeder, Subarna Tripathi, Hanlin Tang. 1783-1787 [doi]
• A Topological Graph-Based Representation for Denoising Low Quality Binary ImagesCatherine Potts, Liping Yang, Diane Oyen, Brendt Wohlberg. 1788-1798 [doi]
• Cross-Modal Person Search: A Coarse-to-Fine Framework using Bi-Directional Text-Image MatchingXiaojing Yu, Tianlong Chen, Yang Yang, Michael Mugo, Zhangyang Wang. 1799-1804 [doi]
• Part Matching with Multi-Level Attention for Person Re-IdentificationJiaze Wang. 1805-1814 [doi]
• Fusing Two Directions in Cross-Domain Adaption for Real Life Person Search by LanguageKai Niu, Yan Huang, Liang Wang 0001. 1815-1818 [doi]
• What Face and Body Shapes Can Tell Us About HeightSemih Günel, Helge Rhodin, Pascal Fua. 1819-1827 [doi]
• Bayesian Gait-Based Gender Identification (BGGI) Network on Individuals Wearing Loosely Fitted ClothingAmarjot Singh, Aman Kumar, Anisha Jain. 1828-1835 [doi]
• Single-Stage Joint Face Detection and AlignmentJiankang deng, Jia Guo, Stefanos Zafeiriou. 1836-1839 [doi]
• A Densenet Based Robust Face Detection FrameworkAbhilash Nandy. 1840-1847 [doi]
• A Semi-Supervised Maximum Margin Metric Learning Approach for Small Scale Person Re-IdentificationT. M. Feroz Ali, Subhasis Chaudhuri. 1848-1857 [doi]
• Cast Search via Two-Stream Label PropagationJhih-Ciang Wu, Bing-Jhang Lin, Bing-Yuan Zeng, Li-Chen Fu, Chiou-Shann Fuh, Tyng-Luh Liu. 1858-1862 [doi]
• Unsupervised Teacher-Student Model for Large-Scale Video RetrievalDong Liang, Lanfen Lin, Rui Wang, Jie Shao, Changhu Wang, Yen-Wei Chen. 1863-1867 [doi]
• Fusion of Multimodal Embeddings for Ad-Hoc Video SearchDanny Francis, Phuong Anh Nguyen, Benoit Huet, Chong-Wah Ngo. 1868-1872 [doi]
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• Are we Asking the Right Questions in MovieQA?Bhavan Jasani, Rohit Girdhar, Deva Ramanan. 1879-1882 [doi]
• SUN-Spot: An RGB-D Dataset With Spatial Referring ExpressionsCecilia Mauceri, Martha Palmer, Christoffer Heckman. 1883-1886 [doi]
• Evaluating Text-to-Image Matching using Binary Image Selection (BISON)Hexiang Hu, Ishan Misra, Laurens van der Maaten. 1887-1890 [doi]
• EENA: Efficient Evolution of Neural ArchitectureHui Zhu, Zhulin An, Chuanguang Yang, Kaiqiang Xu, Erhu Zhao, Yongjun Xu. 1891-1899 [doi]
• Sequentially Aggregated Convolutional NetworksYiwen Huang, Pinglai Ou, Rihui Wu, Ziyong Feng. 1900-1909 [doi]
• Resource Efficient 3D Convolutional Neural NetworksOkan Köpüklü, Neslihan Kose, Ahmet Gunduz, Gerhard Rigoll. 1910-1919 [doi]
• Cross-Granularity Attention Network for Semantic SegmentationLingyu Zhu, Tinghuai Wang, Emre Aksu, Joni-Kristian Kamarainen. 1920-1930 [doi]
• Understanding the Effects of Pre-Training for Object Detectors via EigenspectrumYosuke Shinya, Edgar Simo-Serra, Taiji Suzuki. 1931-1941 [doi]
• HM-NAS: Efficient Neural Architecture Search via Hierarchical MaskingShen Yan, Biyi Fang, Faen Zhang, Yu Zheng, Xiao Zeng, Mi Zhang, Hui Xu. 1942-1950 [doi]
• BinaryDenseNet: Developing an Architecture for Binary Neural NetworksJoseph Bethge, Haojin Yang, Marvin Bornstein, Christoph Meinel. 1951-1960 [doi]
• Efficient Structured Pruning and Architecture Searching for Group ConvolutionRuizhe Zhao, Wayne Luk. 1961-1970 [doi]
• GCNet: Non-Local Networks Meet Squeeze-Excitation Networks and BeyondYue Cao 0001, Jiarui Xu, Stephen Lin, Fangyun Wei, Han Hu. 1971-1980 [doi]
• Attention Routing Between CapsulesJaewoong Choi, Hyun Seo, Suii Im, Myungjoo Kang. 1981-1989 [doi]
• 4-Connected Shift Residual NetworksAndrew Brown, Pascal Mettes, Marcel Worring. 1990-1997 [doi]
• Adaptive Convolutional KernelsJulio Zamora-Esquivel, Adan Cruz Vargas, Paulo Lopez-Meyer, Omesh Tickoo. 1998-2005 [doi]
• Adaptive Activation Functions Using Fractional CalculusJulio Zamora-Esquivel, Adan Cruz Vargas, Rodrigo Camacho Perez, Paulo Lopez-Meyer, Héctor A. Cordourier Maruri, Omesh Tickoo. 2006-2013 [doi]
• SqueezeNAS: Fast Neural Architecture Search for Faster Semantic SegmentationAlbert Shaw, Daniel Hunter, Forrest Landola, Sammy Sidhu. 2014-2024 [doi]
• Matrix Nets: A New Deep Architecture for Object DetectionAbdullah Rashwan, Agastya Kalra, Pascal Poupart. 2025-2028 [doi]
• Localizing Occluders with Compositional Convolutional NetworksAdam Kortylewski, Qing Liu 0017, Huiyu Wang, Zhishuai Zhang, Alan L. Yuille. 2029-2032 [doi]
• MSNet: Structural Wired Neural Architecture Search for Internet of ThingsHsin-Pai Cheng, Tunhou Zhang, Yukun Yang, Feng Yan 0001, Harris Teague, Yiran Chen, Hai Li. 2033-2036 [doi]
• HoloGAN: Unsupervised Learning of 3D Representations From Natural ImagesThu Nguyen-Phuoc, Chuan Li, Lucas Theis, Christian Richardt, Yong-Liang Yang. 2037-2040 [doi]
• Searching for Accurate Binary Neural ArchitecturesMingzhu Shen, Kai Han, Chunjing Xu, Yunhe Wang. 2041-2044 [doi]
• AdvGAN++: Harnessing Latent Layers for Adversary GenerationSurgan Jandial, Puneet Mangla, Sakshi Varshney, Vineeth Balasubramanian. 2045-2048 [doi]
• Layer-Wise Invertibility for Extreme Memory Cost Reduction of CNN TrainingTristan Hascoet, Quentin Febvre, Weihao Zhuang, Yasuo Ariki, Tetsuya Takiguchi. 2049-2052 [doi]
• Investigating Convolutional Neural Networks using Spatial OrdernessRohan Ghosh, Anupam Kumar Gupta, Mehul Motani. 2053-2056 [doi]
• Why Does Data-Driven Beat Theory-Driven Computer Vision?John K. Tsotsos, Iuliia Kotseruba, Alexander Andreopoulos, Yulong Wu. 2057-2060 [doi]
• Towards Dense 3D Reconstruction for Mixed Reality in Healthcare: Classical Multi-View Stereo vs Deep LearningKristina Prokopetc, Romain Dupont. 2061-2069 [doi]
• CNN-Based Cost Volume Analysis as Confidence Measure for Dense MatchingMax Mehltretter, Christian Heipke. 2070-2079 [doi]
• Silhouette-Assisted 3D Object Instance Reconstruction from a Cluttered SceneLin Li, Salman Khan, Nick Barnes. 2080-2088 [doi]
• Learned Semantic Multi-Sensor Depth Map FusionDenys Rozumnyi, Ian Cherabier, Marc Pollefeys, Martin R. Oswald. 2089-2099 [doi]
• Landmark-Guided Deformation Transfer of Template Facial Expressions for Automatic Generation of Avatar BlendshapesHayato Onizuka, Diego Thomas, Hideaki Uchiyama, Rin-ichiro Taniguchi. 2100-2108 [doi]
• SharpNet: Fast and Accurate Recovery of Occluding Contours in Monocular Depth EstimationMichaël Ramamonjisoa, Vincent Lepetit. 2109-2118 [doi]
• A Direct Least-Squares Solution to Multi-View Absolute and Relative Pose from 2D-3D Perspective Line PairsHichem Abdellali, Robert Frohlich, Zoltan Kato. 2119-2128 [doi]
• Counterfactual Depth from a Single RGB ImageTheerasit Issaranon, Chuhang Zou, David A. Forsyth. 2129-2138 [doi]
• Leveraging Vision Reconstruction Pipelines for Satellite ImageryKai Zhang, Noah Snavely, Jin Sun. 2139-2148 [doi]
• 3D Shape Reconstruction of Plant Roots in a Cylindrical Tank From Multiview ImagesTakeshi Masuda. 2149-2157 [doi]
• Learning Dense Wide Baseline Stereo Matching for PeopleAkin Caliskan, Armin Mustafa, Evren Imre, Adrian Hilton. 2158-2167 [doi]
• FullFusion: A Framework for Semantic Reconstruction of Dynamic ScenesMihai Bujanca, Mikel Luján, Barry Lennox. 2168-2177 [doi]
• HumanMeshNet: Polygonal Mesh Recovery of HumansAbbhinav Venkat, Chaitanya Patel, Yudhik Agrawal, Avinash Sharma. 2178-2187 [doi]
• To Bundle Adjust or Not: A Comparison of Relative Geolocation Correction Strategies for Satellite Multi-View StereoRoger Marí, Carlo De Franchis, Enric Meinhardt-Llopis, Gabriele Facciolo. 2188-2196 [doi]
• 3D Texturing From Multi-Date Satellite ImagesEnric Meinhardt-Llopis, Marie d'Autume. 2197-2205 [doi]
• The Seventh Visual Object Tracking VOT2019 Challenge ResultsMatej Kristan, Amanda Berg, Linyu Zheng, Litu Rout, Luc Van Gool, Luca Bertinetto, Martin Danelljan, Matteo Dunnhofer, Meng Ni, Min-Young Kim, Ming Tang, Ming-Hsuan Yang 0001, Abdelrahman Eldesokey, Naveen Paluru, Niki Martinel, Pengfei Xu, Pengfei Zhang, Pengkun Zheng, Pengyu Zhang, Philip H. S. Torr, Qi Zhang, Qiang Wang, Qing Guo, Radu Timofte, Jani Käpylä, Rama Krishna Sai Subrahmanyam Gorthi, Richard M. Everson, Ruize Han, Ruohan Zhang, Shan You, Shao-Chuan Zhao, Shengwei Zhao, Shihu Li, Shikun Li, Shiming Ge, Gustavo Fernández, Shuai Bai, Shuosen Guan, Tengfei Xing, Tianyang Xu, Tianyu Yang, Ting Zhang, Tomás Vojír, Wei Feng, Weiming Hu, Weizhao Wang, Abel Gonzalez-Garcia, Wenjie Tang, Wenjun Zeng, Wenyu Liu 0001, Xi Chen, Xi Qiu, Xiang Bai, Xiao-jun Wu, Xiaoyun Yang, Xier Chen, Xin Li, Alireza Memarmoghadam, Xing Sun, Xingyu Chen, Xinmei Tian, Xu Tang, Xuefeng Zhu, Yan Huang, Yanan Chen, Yanchao Lian, Yang Gu, Yang Liu, Andong Lu, Yanjie Chen, Yi Zhang, Yinda Xu, Yingming Wang, Yingping Li, Yu Zhou, Yuan Dong, Yufei Xu, Yunhua Zhang, YunKun Li, Anfeng He, Zeyu Wang Zhao Luo, Zhaoliang Zhang, Zhen-Hua Feng, Zhenyu He, Zhichao Song, Zhihao Chen, Zhipeng Zhang, Zhirong Wu, Zhiwei Xiong, Zhongjian Huang, Anton Varfolomieiev, Zhu Teng, Zihan Ni, Antoni B. Chan, Jiri Matas, Ardhendu Shekhar Tripathi, Arnold W. M. Smeulders, Bala Suraj Pedasingu, Bao Xin Chen, Baopeng Zhang, Baoyuan Wu, Bi Li, Bin He, Bin Yan, Bing Bai, Ales Leonardis, Bing Li, Bo Li, Byeong Hak Kim, Chao Ma, Chen Fang, Chen Qian 0001, Cheng Chen, Chenglong Li, Chengquan Zhang, Chi-Yi Tsai, Michael Felsberg, Chong Luo, Christian Micheloni, Chunhui Zhang, Dacheng Tao, Deepak Gupta, Dejia Song, Dong Wang, Efstratios Gavves, Eunu Yi, Fahad Shahbaz Khan, Roman P. Pflugfelder, Fangyi Zhang, Fei Wang, Fei Zhao, George De Ath, Goutam Bhat, Guangqi Chen, Guangting Wang, Guoxuan Li, Hakan Cevikalp, Hao Du, Joni-Kristian Kämäräinen, Haojie Zhao, Hasan Saribas, Ho Min Jung, Hongliang Bai, Hongyuan Yu, Hongyuan Yu, Houwen Peng, Huchuan Lu, Hui Li 0037, Jiakun Li, Luka Cehovin Zajc, Jianhua Li, Jianlong Fu, Jie Chen, Jie Gao, Jie Zhao, Jin Tang, Jing Li, Jingjing Wu, Jingtuo Liu, Jinqiao Wang, Ondrej Drbohlav, Jinqing Qi, Jinyue Zhang, John K. Tsotsos, Jong Hyuk Lee, Joost van de Weijer, Josef Kittler, Jun-Ha Lee, Junfei Zhuang, Kangkai Zhang, Kangkang Wang, Alan Lukezic, Kenan Dai, Lei Chen, Lei Liu, Leida Guo, Li Zhang, Liang Wang, Liangliang Wang, Lichao Zhang, Lijun Wang, Lijun Zhou. 2206-2241 [doi]
• Semi-Automatic Annotation of Objects in Visual-Thermal VideoAmanda Berg, Joakim Johnander, Flavie Durand de Gevigney, Jörgen Ahlberg, Michael Felsberg. 2242-2251 [doi]
• Multi-Modal Fusion for End-to-End RGB-T TrackingLichao Zhang, Martin Danelljan, Abel Gonzalez-Garcia, Joost van de Weijer, Fahad Shahbaz Khan. 2252-2261 [doi]
• Multi-Adapter RGBT TrackingChenglong Li, Andong Lu, Aihua Zheng, Zhengzheng Tu, Jin Tang. 2262-2270 [doi]
• Visual Object Tracking by Using Ranking LossHakan Cevikalp, Hasan Saribas, Burak Benligiray, Sinem Kahvecioglu. 2271-2280 [doi]
• Fast Visual Object Tracking using Ellipse Fitting for Rotated Bounding BoxesBao Xin Chen, John K. Tsotsos. 2281-2289 [doi]
• Visual Tracking by Means of Deep Reinforcement Learning and an Expert DemonstratorMatteo Dunnhofer, Niki Martinel, Gian Luca Foresti, Christian Micheloni. 2290-2299 [doi]
• Intra-Frame Object Tracking by DeblattingJan Kotera, Denys Rozumnyi, Filip Sroubek, Jiri Matas. 2300-2309 [doi]
• Conditional Vehicle Trajectories Prediction in CARLA Urban EnvironmentThibault Buhet, Émilie Wirbel, Xavier Perrotton. 2310-2319 [doi]
• Range Adaptation for 3D Object Detection in LiDARZe Wang, Sihao Ding, Ying Li, Minming Zhao, Sohini Roychowdhury, Andreas Wallin, Guillermo Sapiro, Qiang Qiu. 2320-2328 [doi]
• Adherent Raindrop Removal with Self-Supervised Attention Maps and Spatio-Temporal Generative Adversarial NetworksStefano Alletto, Casey Carlin, Luca Rigazio, Yasunori Ishii, Sotaro Tsukizawa. 2329-2338 [doi]
• DeepTrailerAssist: Deep Learning Based Trailer Detection, Tracking and Articulation Angle Estimation on Automotive Rear-View CameraAshok Dahal, Jakir Hossen, Sumanth Chennupati, Ganesh Sistu, Kazumi Malhan, Muhammad Amasha, Senthil Kumar Yogamani. 2339-2346 [doi]
• Spatio-Temporal Action Graph NetworksRoei Herzig, Elad Levi, Huijuan Xu, Hang Gao, Eli Brosh, Xiaolong Wang, Amir Globerson, Trevor Darrell. 2347-2356 [doi]
• Multi-View Reprojection Architecture for Orientation EstimationHee Min Choi, Hyoa Kang, Yoonsuk Hyun. 2357-2366 [doi]
• Advanced Pedestrian Dataset Augmentation for Autonomous DrivingAntonín Vobecký, Michal Uricár, David Hurych, Radoslav Skoviera. 2367-2372 [doi]
• RotInvMTL: Rotation Invariant MultiNet on Fisheye Images for Autonomous Driving ApplicationsBruno Arsenali, Prashanth Viswanath, Jelena Novosel. 2373-2382 [doi]
• Soft Prototyping Camera Designs for Car Detection Based on a Convolutional Neural NetworkZhenyi Liu, Trisha Lian, Joyce E. Farrell, Brian A. Wandell. 2383-2392 [doi]
• FuseMODNet: Real-Time Camera and LiDAR Based Moving Object Detection for Robust Low-Light Autonomous DrivingHazem Rashed, Mohamed Ramzy, Victor Vaquero, Ahmad El Sallab, Ganesh Sistu, Senthil Kumar Yogamani. 2393-2402 [doi]
• Fishyscapes: A Benchmark for Safe Semantic Segmentation in Autonomous DrivingHermann Blum, Paul-Edouard Sarlin, Juan I. Nieto 0001, Roland Siegwart, Cesar Cadena. 2403-2412 [doi]
• NADS-Net: A Nimble Architecture for Driver and Seat Belt Detection via Convolutional Neural NetworksSehyun Chun, Nima Hamidi Ghalehjegh, Joseph B. Choi, Chris Schwarz, John G. Gaspar, Daniel V. McGehee, Stephen S. Baek. 2413-2421 [doi]
• On Control Transitions in Autonomous Driving: A Framework and Analysis for Characterizing Scene ComplexityNachiket Deo, Nasha Meoli, Akshay Rangesh, Mohan M. Trivedi. 2422-2426 [doi]
• Towards Learning Multi-Agent Negotiations via Self-PlayYichuan Tang. 2427-2435 [doi]
• DBUS: Human Driving Behavior Understanding SystemMax Guangyu Li, Bo Jiang, Zhengping Che, Xuefeng Shi, Mengyao Liu, Yiping Meng, Jieping Ye, Yan Liu 0002. 2436-2444 [doi]
• Direct Feedback Alignment Based Convolutional Neural Network Training for Low-Power Online Learning ProcessorDonghyeon Han, Hoi-Jun Yoo. 2445-2452 [doi]
• Efficient Single Image Super-Resolution via Hybrid Residual Feature Learning with Compact Back-Projection NetworkFeiyang Zhu, Qijun Zhao. 2453-2460 [doi]
• A System-Level Solution for Low-Power Object DetectionFanrong Li, Yang Zhang, Jian Cheng 0001, Zitao Mo, Peisong Wang, Zejian Liu, Jiayun Zhang, Gang Li 0015, Qinghao Hu, Xiangyu He, Cong Leng. 2461-2468 [doi]
• Low-Power Neural Networks for Semantic Segmentation of Satellite ImagesGaetan Bahl, Lionel Daniel, Matthieu Moretti, Florent Lafarge. 2469-2476 [doi]
• Enriching Variety of Layer-Wise Learning Information by Gradient CombinationChien-Yao Wang, Hong-Yuan Mark Liao, Ping-Yang Chen, Jun-Wei Hsieh. 2477-2484 [doi]
• Real-Time Object Detection On Low Power Embedded PlatformsGeorge Jose, Aashish Kumar, Srinivas Kruthiventi S. S, Sambuddha Saha, Harikrishna Muralidhara. 2485-2492 [doi]
• 512KiB RAM Is Enough! Live Camera Face Recognition DNN on MCUMaxim Zemlyanikin, Alexander Smorkalov, Tatiana Khanova, Anna Petrovicheva, Grigory Serebryakov. 2493-2500 [doi]
• Automated Multi-Stage Compression of Neural NetworksJulia Gusak, Maksym Kholyavchenko, Evgeny Ponomarev, Larisa Markeeva, Philip Blagoveschensky, Andrzej Cichocki, Ivan V. Oseledets. 2501-2508 [doi]
• On-Device Image Classification with Proxyless Neural Architecture Search and Quantization-Aware Fine-TuningHan Cai, Tianzhe Wang, Zhanghao Wu, Kuan Wang, Ji Lin, Song Han. 2509-2513 [doi]
• Forced Spatial Attention for Driver Foot Activity ClassificationAkshay Rangesh, Mohan M. Trivedi. 2514-2521 [doi]
• Learning to Navigate Robotic Wheelchairs from Demonstration: Is Training in Simulation Viable?Mohammed Kutbi, Yizhe Chang, Bo Sun, Philippos Mordohai. 2522-2531 [doi]
• Deep Learning Performance in the Presence of Significant Occlusions - An Intelligent Household Refrigerator CaseGregor Koporec, Janez Pers. 2532-2540 [doi]
• Salient Contour-Aware Based Twice Learning Strategy for Saliency DetectionChunbiao Zhu, Wei Yan, Shan Liu, Thomas H. Li, Ge Li. 2541-2548 [doi]
• Deep Learning Based Wearable Assistive System for Visually Impaired PeopleYimin Lin, Kai Wang 0012, Wanxin Yi, Shiguo Lian. 2549-2557 [doi]
• Dynamic Subtitles: A Multimodal Video Accessibility Enhancement Dedicated to Deaf and Hearing Impaired UsersRuxandra Tapu, Bogdan Mocanu, Titus B. Zaharia. 2558-2566 [doi]
• Social and Scene-Aware Trajectory Prediction in Crowded SpacesMatteo Lisotto, Pasquale Coscia, Lamberto Ballan. 2567-2574 [doi]
• A Realistic Face-to-Face Conversation System Based on Deep Neural NetworksZezhou Chen, Zhaoxiang Liu, Huan Hu, Jinqiang Bai, Shiguo Lian, Fuyuan Shi, Kai Wang. 2575-2583 [doi]
• Object Captioning and Retrieval with Natural LanguageAnh Nguyen, Quang D. Tran, Thanh-Toan Do, Ian D. Reid 0001, Darwin G. Caldwell, Nikos G. Tsagarakis. 2584-2592 [doi]
• Street Crossing Aid Using Light-Weight CNNs for the Visually ImpairedSamuel Yu, Heon Lee, Jung Hoon Kim. 2593-2601 [doi]
• Active 3D Classification of Multiple Objects in Cluttered ScenesYiming Wang, Marco Carletti, Francesco Setti, Marco Cristani, Alessio Del Bue. 2602-2610 [doi]
• Video Indexing Using Face Appearance and Shot Transition DetectionDario Cazzato, Marco Leo, Pierluigi Carcagnì, Cosimo Distante, Javier Lorenzo-Navarro, Holger Voos. 2611-2618 [doi]
• Home-Based Physical Therapy with an Interactive Computer Vision SystemYiwen Gu, Shreya Pandit, Elham Saraee, Timothy J. Nordahl, Terry Ellis, Margrit Betke. 2619-2628 [doi]
• Joint Trajectory and Fatigue Analysis in Wheelchair UsersMaddalena Sebastiani, Nicola Garau, Francesco G. B. De Natale, Nicola Conci. 2629-2637 [doi]
• Lightweight Face Recognition ChallengeJiankang deng, Jia Guo, Debing Zhang, Yafeng Deng, Xiangju Lu, Song Shi. 2638-2646 [doi]
• VarGFaceNet: An Efficient Variable Group Convolutional Neural Network for Lightweight Face RecognitionMengjia Yan, Mengao Zhao, Zining Xu, Qian Zhang, Guoli Wang, Zhizhong Su. 2647-2654 [doi]
• Improved Knowledge Distillation for Training Fast Low Resolution Face Recognition ModelMengjiao Wang, Rujie Liu, Hajime Nada, Narishige Abe, Hidetsugu Uchida, Tomoaki Matsunami. 2655-2661 [doi]
• Unknown Identity Rejection Loss: Utilizing Unlabeled Data for Face RecognitionHaiming Yu, Yin Fan, Keyu Chen, He Yan, Xiangju Lu, Junhui Liu, Danming Xie. 2662-2669 [doi]
• Geometry Guided Feature Aggregation in Video Face RecognitionBaoyun Peng, Xiao Jin, Yichao Wu, Dongsheng Li. 2670-2677 [doi]
• AirFace: Lightweight and Efficient Model for Face RecognitionXianyang Li, Feng Wang, Qinghao Hu, Cong Leng. 2678-2682 [doi]
• Effective Methods for Lightweight Image-Based and Video-Based Face RecognitionYidong Ma. 2683-2688 [doi]
• Factorizing and Reconstituting Large-Kernel MBConv for Lightweight Face RecognitionYaqi Lyu, Jing Jiang, Kun Zhang, Yilun Hua, Miao Cheng. 2689-2697 [doi]
• Towards Flops-Constrained Face RecognitionYu Liu 0015, Guanglu Song, Manyuan Zhang, Jihao Liu, Yucong Zhou, Junjie Yan. 2698-2702 [doi]
• A Progressive Learning Framework for Unconstrained Face RecognitionZhenhua Chai, Shengxi Li, Huanhuan Meng, Shenqi Lai, Xiaoming Wei, Jianwei Zhang. 2703-2710 [doi]
• A Graph Based Unsupervised Feature Aggregation for Face RecognitionYu Cheng, Yanfeng Li, Qiankun Liu, Yuan Yao, Venkata Sai Vijay Kumar Pedapudi, Xiaotian Fan, Chi Su, Shengmei Shen. 2711-2720 [doi]
• ShuffleFaceNet: A Lightweight Face Architecture for Efficient and Highly-Accurate Face RecognitionYoanna Martínez-Díaz, Luis S. Luevano, Heydi Mendez Vazquez, Miguel Nicolás-Díaz, Leonardo Chang, Miguel González-Mendoza. 2721-2728 [doi]
• Multi-Video Temporal Synchronization by Matching Pose Features of Shared Moving SubjectsXinyi Wu, Zhenyao Wu, Yujun Zhang, Lili Ju, Song Wang. 2729-2738 [doi]
• LIP: Learning Instance Propagation for Video Object SegmentationYe Lyu, George Vosselman, Guisong Xia, Michael Ying Yang. 2739-2748 [doi]
• 5G-CAGE: A Context and Situational Awareness System for City Public Safety with Video Processing at a Virtualized EcosystemPedro E. López-de-Teruel, Manuel Gil Pérez, Félix J. García Clemente, Alberto Ruiz García, Gregorio Martínez Pérez. 2749-2757 [doi]
• CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose EstimationKartik Gupta, Lars Petersson, Richard Hartley. 2758-2766 [doi]
• HomebrewedDB: RGB-D Dataset for 6D Pose Estimation of 3D ObjectsRoman Kaskman, Sergey Zakharov, Ivan Shugurov, Slobodan Ilic. 2767-2776 [doi]
• Unsupervised Joint 3D Object Model Learning and 6D Pose Estimation for Depth-Based Instance SegmentationYuanwei Wu, Tim K. Marks, Anoop Cherian, Siheng Chen, Chen Feng 0002, Guanghui Wang, Alan Sullivan. 2777-2786 [doi]
• An Annotation Saved is an Annotation Earned: Using Fully Synthetic Training for Object DetectionStefan Hinterstoisser, Olivier Pauly, Hauke Heibel, Martina Marek, Martin Bokeloh. 2787-2796 [doi]
• A Refined 3D Pose Dataset for Fine-Grained Object CategoriesYaming Wang, Xiao Tan, Yi Yang, Ziyu Li, Xiao Liu, Feng Zhou 0002, Larry S. Davis. 2797-2806 [doi]
• CorNet: Generic 3D Corners for 6D Pose Estimation of New Objects without RetrainingGiorgia Pitteri, Slobodan Ilic, Vincent Lepetit. 2807-2815 [doi]
• Satellite Pose Estimation with Deep Landmark Regression and Nonlinear Pose RefinementBo Chen, Jiewei Cao, Álvaro Parra Bustos, Tat-Jun Chin. 2816-2824 [doi]
• Explicit Spatiotemporal Joint Relation Learning for Tracking Human PoseXiao Sun, Chuankang Li, Stephen Lin. 2825-2835 [doi]
• Talking With Your Hands: Scaling Hand Gestures and Recognition With CNNsOkan Köpüklü, Yao Rong, Gerhard Rigoll. 2836-2845 [doi]
• Disentangling Pose from Appearance in Monochrome Hand ImagesYikang Li, Christopher D. Twigg, Yuting Ye, Lingling Tao, Xiaogang Wang. 2846-2855 [doi]
• Hand Pose Ensemble Learning Based on Grouping Features of Hand Point SetsTianqiang Zhu, Yi Sun, Xiaohong Ma, Xiangbo Lin. 2856-2865 [doi]
• 3D Hand Pose Estimation from RGB Using Privileged Learning with Depth DataShanxin Yuan, Björn Stenger, Tae-Kyun Kim. 2866-2873 [doi]
• The Jester Dataset: A Large-Scale Video Dataset of Human GesturesJoanna Materzynska, Guillaume Berger, Ingo Bax, Roland Memisevic. 2874-2882 [doi]
• Embarrassingly Simple Binary Representation LearningYuming Shen, Jie Qin, Jiaxin Chen, Li Liu, Fan Zhu 0001, Ziyi Shen. 2883-2892 [doi]
• Unsupervised Extraction of Local Image Descriptors via Relative Distance Ranking LossXin Yu, Yurun Tian, Fatih Porikli, Richard Hartley, Hongdong Li, Huub Heijnen, Vassileios Balntas. 2893-2902 [doi]
• Metric-Based Regularization and Temporal Ensemble for Multi-Task Learning using Heterogeneous Unsupervised TasksByung Cheol Song, Dae Ha Kim, Seung-Hyun Lee. 2903-2912 [doi]
• DAME WEB: DynAmic MEan with Whitening Ensemble Binarization for Landmark Retrieval without Human AnnotationTsun-Yi Yang, Duy-Kien Nguyen, Huub Heijnen, Vassileios Balntas. 2913-2922 [doi]
• More About Covariance Descriptors for Image Set Coding: Log-Euclidean Framework Based Kernel Matrix RepresentationKai-Xuan Chen, Xiao-jun Wu, Jie-Yi Ren, Rui Wang, Josef Kittler. 2923-2932 [doi]
• Compact and Efficient Multitask Learning in Vision, Language and SpeechMohammed Al-Rawi 0002, Ernest Valveny. 2933-2942 [doi]
• MuffNet: Multi-Layer Feature Federation for Mobile Deep LearningHesen Chen, Ming Lin, Xiuyu Sun, Qian Qi, Hao Li, Rong Jin. 2943-2952 [doi]
• Beyond Attributes: High-Order Attribute Features for Zero-Shot LearningXiao-Bo Jin, Guo-Sen Xie, Kaizhu Huang, Jianyu Miao, Qiufeng Wang. 2953-2962 [doi]
• Augmentation Invariant TrainingWeicong Chen, Lu Tian, Liwen Fan, Yu Wang. 2963-2971 [doi]
• Large Scale Near-Duplicate Image Retrieval via Patch EmbeddingShangpeng Yan, Xiaoyun Zhang, Li Chen, Wenbo Bao, Zhiyong Gao. 2972-2979 [doi]
• VACL: Variance-Aware Cross-Layer Regularization for Pruning Deep Residual NetworksSusan Gao, Xin Liu, Lung-Sheng Chien, William Zhang, Jose M. Alvarez. 2980-2988 [doi]
• Event-Based Incremental Broad Learning System for Object ClassificationShan Gao, Guangqian Guo, C. L. Philip Chen. 2989-2998 [doi]
• Differential-Evolution-Based Generative Adversarial Networks for Edge DetectionWenbo Zheng, Chao Gou, Lan Yan, Fei-Yue Wang 0001. 2999-3008 [doi]
• Low-bit Quantization of Neural Networks for Efficient InferenceYoni Choukroun, Eli Kravchik, Fan Yang, Pavel Kisilev. 3009-3018 [doi]
• Self-Supervised Learning of Class Embeddings from VideoOlivia Wiles, A. Sophia Koepke, Andrew Zisserman. 3019-3027 [doi]
• Deep Total Variation Support Vector NetworksHichem Sahbi. 3028-3038 [doi]
• Age Estimation From Facial Parts Using Compact Multi-Stream Convolutional Neural NetworksMarcus A. Angeloni, Rodrigo de Freitas Pereira, Hélio Pedrini. 3039-3045 [doi]
• Dynamic Block Sparse Reparameterization of Convolutional Neural NetworksDharma Teja Vooturi, Girish Varma, Kishore Kothapalli. 3046-3053 [doi]
• DHA: Supervised Deep Learning to Hash with an Adaptive Loss FunctionJiehao Xu, Chengyu Guo, Qingjie Liu, Jie Qin, Yunhong Wang, Li Liu. 3054-3062 [doi]
• Sparse Generative Adversarial NetworkShahin Mahdizadehaghdam, Ashkan Panahi, Hamid Krim. 3063-3071 [doi]
• Efficient Learning on Point Clouds with Basis Point SetsSergey Prokudin, Christoph Lassner, Javier Romero 0002. 3072-3081 [doi]
• The 2nd 3D Face Alignment in the Wild Challenge (3DFAW-Video): Dense Reconstruction From VideoRohith Krishnan Pillai, László Attila Jeni, Huiyuan Yang, Zheng Zhang, Lijun Yin, Jeffrey F. Cohn. 3082-3089 [doi]
• 3D Face Shape Regression From 2D Videos with Multi-Reconstruction and Mesh RetrievalXiaohu Shao, Jiangjing Lyu, Junliang Xing, Lijun Zhang, Xiaobo Li, Xiangdong Zhou, Yu Shi. 3090-3095 [doi]
• Multi-View 3D Face Reconstruction in the Wild Using Siamese NetworksEduard Ramon, Janna Escur, Xavier Giró i Nieto. 3096-3100 [doi]
• Improving Fashion Landmark Detection by Dual Attention Feature EnhancementMing Chen, Yingjie Qin, Lizhe Qi, Yunquan Sun. 3101-3104 [doi]
• UVTON: UV Mapping to Consider the 3D Structure of a Human in Image-Based Virtual Try-On NetworkShizuma Kubo, Yusuke Iwasawa, Masahiro Suzuki, Yutaka Matsuo. 3105-3108 [doi]
• Fashion Image Retrieval with Capsule NetworksFurkan Kinli, Baris Özcan, Furkan Kiraç. 3109-3112 [doi]
• The iMaterialist Fashion Attribute DatasetSheng Guo, Weilin Huang, Xiao Zhang, Prasanna Srikhanta, Yin Cui, Yuan Li, Hartwig Adam, Matthew R. Scott, Serge J. Belongie. 3113-3116 [doi]
• Translating Visual Art Into MusicMaximilian Müller-Eberstein, Nanne van Noord. 3117-3120 [doi]
• Semantically Consistent Hierarchical Text to Fashion Image Synthesis with an Enhanced-Attentional Generative Adversarial NetworkKenan Emir Ak, Joo-Hwee Lim, Jo Yew Tham, Ashraf A. Kassim. 3121-3124 [doi]
• Pose Guided Attention for Multi-Label Fashion Image ClassificationBeatriz Quintino Ferreira, João Paulo Costeira, Ricardo Gamelas Sousa, Liang-Yan Gui, João Pedro Gomes. 3125-3128 [doi]
• LA-VITON: A Network for Looking-Attractive Virtual Try-OnHyug-Jae Lee, Rokkyu Lee, Minseok Kang, Myounghoon Cho, Gunhan Park. 3129-3132 [doi]
• Semantic Segmentation of Fashion Images Using Feature Pyramid NetworksJohn Martinsson, Olof Mogren. 3133-3136 [doi]
• Dropout Induced Noise for Co-Creative GAN SystemsSabine Wieluch, Friedhelm Schwenker. 3137-3140 [doi]
• Deep Garment Image Matting for a Virtual Try-on SystemDongjoe Shin, Yu Chen. 3141-3144 [doi]
• Clothing Recognition in the Wild using the Amazon CatalogFabian Caba Heilbron, Bojan Pepik, Zohar Barzelay, Michael Donoser. 3145-3148 [doi]
• Regularized Adversarial Training for Single-Shot Virtual Try-OnKotaro Kikuchi, Kota Yamaguchi, Edgar Simo-Serra, Tetsunori Kobayashi. 3149-3152 [doi]
• A Global-Local Embedding Module for Fashion Landmark DetectionSumin Lee, Sungchan Oh, Chanho Jung, Changick Kim. 3153-3156 [doi]
• Artist-Guided Semiautomatic Animation ColorizationHarrish Thasarathan, Mehran Ebrahimi. 3157-3160 [doi]
• Generating High-Resolution Fashion Model Images Wearing Custom OutfitsGökhan Yildirim, Nikolay Jetchev, Roland Vollgraf, Urs Bergmann. 3161-3164 [doi]
• Deep Metric Learning for Cross-Domain Fashion Instance RetrievalSarah Ibrahimi, Nanne van Noord, Zeno Geradts, Marcel Worring. 3165-3168 [doi]
• Generative Modelling of Semantic Segmentation Data in the Fashion DomainMarie Korneliusson, John Martinsson, Olof Mogren. 3169-3172 [doi]
• Fourier-CPPNs for Image SynthesisMattie Tesfaldet, Xavier Snelgrove, David Vázquez. 3173-3176 [doi]
• A Weakly Supervised Adaptive Triplet Loss for Deep Metric LearningXiaonan Zhao, Huan Qi, Rui Luo, Larry Davis 0001. 3177-3180 [doi]
• Unsupervised Image-to-Video Clothing TransferAlbert Pumarola, Vedanuj Goswami, Francisco Vicente, Fernando De la Torre, Francesc Moreno-Noguer. 3181-3184 [doi]
• Walking Through Shanshui: Generating Chinese Shanshui Paintings via Real-Time Tracking of Human PositionAven Le Zhou. 3185-3188 [doi]
• Class-Based Styling: Real-Time Localized Style Transfer with Semantic SegmentationLironne Kurzman, David Vázquez, Issam H. Laradji. 3189-3192 [doi]
• Powering Virtual Try-On via Auxiliary Human Segmentation LearningKumar Ayush, Surgan Jandial, Ayush Chopra, Balaji Krishnamurthy. 3193-3196 [doi]
• Leveraging Class Hierarchy in Fashion ClassificationHyunsoo Cho, Chaemin Ahn, Kang Min Yoo, Jinseok Seol, Sang-goo Lee. 3197-3200 [doi]
• DeepMark: One-Shot Clothing DetectionAlexey Sidnev, Alexey Trushkov, Maxim Kazakov, Ivan Korolev, Vladislav Sorokin. 3201-3204 [doi]
• Incremental Learning Techniques for Semantic SegmentationUmberto Michieli, Pietro Zanuttigh. 3205-3212 [doi]
• Multi-Level Domain Adaptive Learning for Cross-Domain DetectionRongchang Xie, Fei Yu, Jiachao Wang, Yizhou Wang, Li Zhang. 3213-3219 [doi]
• Improving CNN Classifiers by Estimating Test-Time PriorsMilan Sulc, Jiri Matas. 3220-3226 [doi]
• Hallucinating Agnostic Images to Generalize Across DomainsFabio Maria Carlucci, Paolo Russo, Tatiana Tommasi, Barbara Caputo. 3227-3234 [doi]
• Domain Adaptation for Vehicle Detection from Bird's Eye View LiDAR Point Cloud DataKhaled Saleh, Ahmed Abobakr, Mohammed Attia, Julie Iskander, Darius Nahavandi, Mohammed Hossny, Saeid Nahavandi. 3235-3242 [doi]
• Towards Efficient Instance Segmentation with Hierarchical DistillationZiwei Deng, Quan Kong, Tomokazu Murakami. 3243-3249 [doi]
• Cross Domain Image Matching in Presence of OutliersXin Liu, Seyran Khademi, Jan C. van Gemert. 3250-3256 [doi]
• Unsupervised Domain Adaptation using Deep Networks with Cross-Grafted StacksJinyong Hou, Xuejie Ding, Jeremiah D. Deng, Stephen Cranefield. 3257-3264 [doi]
• EdgeConnect: Structure Guided Image Inpainting using Edge PredictionKamyar Nazeri, Eric Ng, Tony Joseph, Faisal Z. Qureshi, Mehran Ebrahimi. 3265-3274 [doi]
• Edge-Informed Single Image Super-ResolutionKamyar Nazeri, Harrish Thasarathan, Mehran Ebrahimi. 3275-3284 [doi]
• SMIT: Stochastic Multi-Label Image-to-Image TranslationAndrés Romero, Pablo Arbeláez, Luc Van Gool, Radu Timofte. 3285-3294 [doi]
• SteReFo: Efficient Image Refocusing with Stereo VisionBenjamin Busam, Matthieu Hog, Steven McDonagh, Gregory G. Slabaugh. 3295-3304 [doi]
• 3SGAN: 3D Shape Embedded Generative Adversarial NetworksFengdi Che, Xiru Zhu, Tianzi Yang, Tzu-Yang Yu. 3305-3314 [doi]
• Blind Single Image Reflection Suppression for Face Images using Deep Generative PriorsParamanand Chandramouli, Kanchana Vaishnavi Gandikota. 3315-3323 [doi]
• Image Disentanglement and Uncooperative Re-Entanglement for High-Fidelity Image-to-Image TranslationAdam W. Harley, Shih-En Wei, Jason M. Saragih, Katerina Fragkiadaki. 3324-3332 [doi]
• PFAGAN: An Aesthetics-Conditional GAN for Generating Photographic Fine ArtNaila Murray. 3333-3341 [doi]
• Can Generative Adversarial Networks Teach Themselves Text Segmentation?Mohammed Al-Rawi 0002, Dena Bazazian, Ernest Valveny. 3342-3350 [doi]
• Quotienting Impertinent Camera Kinematics for 3D Video StabilizationThomas W. Mitchel, Christian Wülker, Jin Seob Kim, Sipu Ruan, Gregory S. Chirikjian. 3351-3360 [doi]
• Augmented Reality Based Recommendations Based on Perceptual Shape Style Compatibility with Objects in the Viewpoint and Color Compatibility with the BackgroundTanmay Kumar, Ayush Kumar. 3361-3367 [doi]
• Extremely Weak Supervised Image-to-Image Translation for Semantic SegmentationSamarth Shukla, Luc Van Gool, Radu Timofte. 3368-3377 [doi]
• NoUCSR: Efficient Super-Resolution Network without Upsampling ConvolutionDongliang Xiong, Kai Huang 0002, Siang Chen, Bowen Li, Haitian Jiang, Wenyuan Xu. 3378-3387 [doi]
• AIM 2019 Challenge on Video Temporal Super-Resolution: Methods and ResultsSeungjun Nah, Heewon Kim, Bohyung Han, Ning Xu, Bumjun Park, Songhyun Yu, Sangmin Kim, Jechang Jeong, Wang Shen, Wenbo Bao, Guangtao Zhai, Sanghyun Son, Li Chen, Zhiyong Gao, Guannan Chen, Yunhua Lu, Ran Duan, Tong Liu, Lijie Zhang, Woon-Sung Park, Munchurl Kim, George Pisha, Radu Timofte, Eyal Naor, Lior Aloni, Kyoung Mu Lee, Li Si-Yao, Ze Pan, Xiangyu Xu, Wenxiu Sun, Myungsub Choi. 3388-3398 [doi]
• MGBPv2: Scaling Up Multi-Grid Back-Projection NetworksPablo Navarrete Michelini, Wenbin Chen, Hanwen Liu, Dan Zhu. 3399-3407 [doi]
• Unsupervised Learning for Real-World Super-ResolutionAndreas Lugmayr, Martin Danelljan, Radu Timofte. 3408-3416 [doi]
• Depth-Guided Dense Dynamic Filtering Network for Bokeh Effect RenderingKuldeep Purohit, Maitreya Suin, Praveen Kandula, Rajagopalan Ambasamudram. 3417-3426 [doi]
• Quadratic Video Interpolation for VTSR ChallengeSiyao Li, Xiangyu Xu, Ze Pan, Wenxiu Sun. 3427-3431 [doi]
• Adaptive Densely Connected Single Image Super-ResolutionTangxin Xie, Xin Yang, Yu Jia, Chen Zhu, Xiaochuan Li. 3432-3440 [doi]
• HighEr-Resolution Network for Image Demosaicing and EnhancingKangfu Mei, Juncheng Li 0003, Jiajie Zhang, Haoyu Wu, Jie Li, Rui Huang. 3441-3448 [doi]
• Saliency Map-Aided Generative Adversarial Network for RAW to RGB MappingYuzhi Zhao, Chang Zhou, Wing Yin Yu, Lai-Man Po, Tiantian Zhang, Zongbang Liao, Xiang Shi, Yujia Zhang, Weifeng Ou, Pengfei Xian, Jingjing Xiong. 3449-3457 [doi]
• Un-Paired Real World Super-Resolution with Degradation ConsistencyYuanfei Huang, Xiaopeng Sun, Wen Lu, Jie Li, Xinbo Gao. 3458-3466 [doi]
• AIM 2019 Challenge on Video Extreme Super-Resolution: Methods and ResultsDario Fuoli, Xiaoyong Shen, Shutao Xia, Yurong Dai, Jiaya Jia, Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Jiayi Ma 0001, Zhiwei Zhong, Shuhang Gu, Chenyang Wang, Junjun Jiang, Xianming Liu, Radu Timofte, Xin Tao, Wenbo Li, Taian Guo, Zijun Deng, Liying Lu, Tao Dai. 3467-3475 [doi]
• Efficient Video Super-Resolution through Recurrent Latent Space PropagationDario Fuoli, Shuhang Gu, Radu Timofte. 3476-3485 [doi]
• Multi-Scale Dynamic Feature Encoding Network for Image DemoiréingXi Cheng, Zhenyong Fu, Jian Yang. 3486-3493 [doi]
• Robust Temporal Super-Resolution for Dynamic Motion VideosBumjun Park, Songhyun Yu, Jechang Jeong. 3494-3502 [doi]
• PoSNet: 4x Video Frame Interpolation Using Position-Specific FlowSonghyun Yu, Bumjun Park, Jechang Jeong. 3503-3511 [doi]
• DIV8K: DIVerse 8K Resolution Image DatasetShuhang Gu, Andreas Lugmayr, Martin Danelljan, Manuel Fritsche, Julien Lamour, Radu Timofte. 3512-3516 [doi]
• Image Super-Resolution via Attention Based Back Projection NetworksZhi-Song Liu, Li-wen Wang, Chu-Tak Li, Wan-Chi Siu, Yui-Lam Chan. 3517-3525 [doi]
• AIM 2019 Challenge on Image Demoireing: Dataset and StudyShanxin Yuan, Radu Timofte, Gregory G. Slabaugh, Ales Leonardis. 3526-3533 [doi]
• AIM 2019 Challenge on Image Demoireing: Methods and ResultsShanxin Yuan, Zhenyong Fu, Jian Yang, Ming Hong, Wenying Lin, Wenjin Yang, Yanyun Qu, Hong-Kyu Shin, Joon-Yeon Kim, Sung Jea Ko, Hang Dong, Radu Timofte, Yu Guo, Jie Wang, Xuan Ding, Zongyan Han, Sourya Dipta Das, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan, Gregory G. Slabaugh, Ales Leonardis, Bolun Zheng, Xin Ye, Xiang Tian 0002, Yaowu Chen, Xi Cheng. 3534-3545 [doi]
• Towards Spectral Estimation from a Single RGB Image in the WildBerk Kaya, Yigit Baran Can, Radu Timofte. 3546-3555 [doi]
• AIM 2019 Challenge on Image Extreme Super-Resolution: Methods and ResultsShuhang Gu, Hanwen Liu, Dan Zhu, Tangxin Xie, Xin Yang, Chen Zhu, Jia Yu, Wenyu Sun, Xin Tao, Zijun Deng, Liying Lu, Martin Danelljan, Wenbo Li, Taian Guo, Xiaoyong Shen, Xuemiao Xu, Yu-Wing Tai, Jiaya Jia, Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Radu Timofte, Jiayi Ma 0001, Zhi-Song Liu, Li-wen Wang, Chu-Tak Li, Wan-Chi Siu, Yui-Lam Chan, Ruofan Zhou, Majed El Helou, Kuldeep Purohit, Praveen Kandula, Muhammad Haris, Maitreya Suin, Rajagopalan A. N, Kazutoshi Akita, Greg Shakhnarovic, Norimichi Ukita, Pablo Navarrete Michelini, Wenbin Chen. 3556-3564 [doi]
• AIM 2019 Challenge on Constrained Super-Resolution: Methods and ResultsKai Zhang, Nan Nan, Chenghua Li, Xueyi Zou, Ning Kang, Zhan Wang, Hang Xu, Chaofeng Wang, Zheng Li, Linlin Wang, Jun Shi 0004, Shuhang Gu, Wenyu Sun, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Yazhe Niu, Peijin Zhuo, Xiangzhen Kong, Long Sun, Wenhao Wang, Radu Timofte, Zheng Hui, Xiumei Wang, Xinbo Gao, Dongliang Xiong, Shuai Liu, Ruipeng Gang. 3565-3574 [doi]
• AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and ResultsAndreas Lugmayr, Nam Hyung Joon, Yu Seung Won, Guisik Kim, Dokyeong Kwon, Chih-Chung Hsu, Chia-Hsiang Lin, Yuanfei Huang, Xiaopeng Sun, Wen Lu, Jie Li 0001, Martin Danelljan, Xinbo Gao, Sefi Bell-Kligler, Assaf Shocher, Michal Irani, Radu Timofte, Manuel Fritsche, Shuhang Gu, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan. 3575-3583 [doi]
• AIM 2019 Challenge on RAW to RGB Mapping: Methods and ResultsAndrey Ignatov, Juncheng Li 0003, Jiajie Zhang, Haoyu Wu, Jie Li, Rui Huang, Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita, Yuzhi Zhao, Lai-Man Po, Radu Timofte, Tiantian Zhang, Zongbang Liao, Xiang Shi, Yujia Zhang, Weifeng Ou, Pengfei Xian, Jingjing Xiong, Chang Zhou, Wing Yin Yu, Yubin Yubin, Sung Jea Ko, Bingxin Hou, Bumjun Park, Songhyun Yu, Sangmin Kim, Jechang Jeong, Seung Wook Kim, Kwang-Hyun Uhm, Seo-Won Ji, Sung Jin Cho, Jun-Pyo Hong, Kangfu Mei. 3584-3590 [doi]
• AIM 2019 Challenge on Bokeh Effect Synthesis: Methods and ResultsAndrey Ignatov, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan, Zhiwei Xiong, Jie Huang, Guanting Dong, Mingde Yao, Dong Liu, Wenjin Yang, Ming Hong, Wenying Lin, Jagruti Patel, Yanyun Qu, Jae-Seok Choi, Woonsung Park, Munchurl Kim, Rui Liu, Xiangyu Mao, Chengxi Yang, Qiong Yan, Wenxiu Sun, Junkai Fang, Radu Timofte, Meimei Shang, Fei Gao, Sujoy Ghosh, Prasen Kumar Sharma, Arijit Sur, Bolun Zheng, Xin Ye, Li Huang, Xiang Tian 0002, Saikat Dutta, Kuldeep Purohit. 3591-3598 [doi]
• Frequency Separation for Real-World Super-ResolutionManuel Fritsche, Shuhang Gu, Radu Timofte. 3599-3608 [doi]
• The Vid3oC and IntVID Datasets for Video Super Resolution and Quality MappingSohyeong Kim, Guanju Li, Dario Fuoli, Martin Danelljan, Zhiwu Huang, Shuhang Gu, Radu Timofte. 3609-3616 [doi]
• AI Benchmark: All About Deep Learning on Smartphones in 2019Andrey Ignatov, Radu Timofte, Andrei Kulik, Seungsoo Yang, Ke Wang, Felix Baum, Max Wu, Lirong Xu, Luc Van Gool. 3617-3635 [doi]
• W-Net: Two-Stage U-Net With Misaligned Data for Raw-to-RGB MappingKwang-Hyun Uhm, Seung Wook Kim, Seo-Won Ji, Sung Jin Cho, Jun-Pyo Hong, Sung Jea Ko. 3636-3642 [doi]
• Dual Reconstruction with Densely Connected Residual Network for Single Image Super-ResolutionChih-Chung Hsu, Chia-Hsiang Lin. 3643-3650 [doi]
• Assessment of Shift-Invariant CNN Gaze Mappings for PS-OG Eye Movement SensorsHenry K. Griffith, Dmytro Katrychuk, Oleg Komogortsev. 3651-3659 [doi]
• U2Eyes: A Binocular Dataset for Eye Tracking and Gaze EstimationSonia Porta, Benoît Bossavit, Rafael Cabeza, Andoni Larumbe-Bergera, Gonzalo Garde, Arantxa Villanueva. 3660-3664 [doi]
• Eye-MMS: Miniature Multi-Scale Segmentation Network of Key Eye-Regions in Embedded ApplicationsFadi Boutros, Naser Damer, Florian Kirchbuchner, Arjan Kuijper. 3665-3670 [doi]
• MinENet: A Dilated CNN for Semantic Segmentation of Eye FeaturesJonathan Perry, Amanda Fernandez. 3671-3676 [doi]
• D-ID-Net: Two-Stage Domain and Identity Learning for Identity-Preserving Image Generation From Semantic SegmentationNaser Damer, Fadi Boutros, Florian Kirchbuchner, Arjan Kuijper. 3677-3682 [doi]
• EyeNet: A Multi-Task Deep Network for Off-Axis Eye Gaze EstimationZhengyang Wu, Srivignesh Rajendran, Tarrence van As, Vijay Badrinarayanan, Andrew Rabinovich. 3683-3687 [doi]
• EyeNet: Attention Based Convolutional Encoder-Decoder Network for Eye Region SegmentationPriya Kansal, Sabarinathan Devanathan. 3688-3693 [doi]
• Eye Semantic Segmentation with A Lightweight ModelVan Thong Huynh, Soo-Hyung Kim, Gueesang Lee, Hyung Jeong Yang. 3694-3697 [doi]
• RITnet: Real-time Semantic Segmentation of the Eye for Gaze TrackingAayush K. Chaudhary, Rakshit Kothari, Manoj Acharya, Shusil Dangi, Nitinraj Nair, Reynold Bailey, Christopher Kanan, Gabriel J. Diaz, Jeff B. Pelz. 3698-3702 [doi]
• FaceSyncNet: A Deep Learning-Based Approach for Non-Linear Synchronization of Facial Performance VideosYoonjae Cho, Dohyeong Kim, Edwin Truman, Jean Charles Bazin. 3703-3707 [doi]
• A Tale of Two Modalities for Video CaptioningPankaj Joshi, Chitwan Saharia, Vishwajeet Singh, Digvijaysingh Gautam, Ganesh Ramakrishnan, Preethi Jyothi. 3708-3712 [doi]
• Learning to Detect and Retrieve Objects From Unlabeled VideosElad Amrani, Rami Ben-Ari, Tal Hakim, Alex Bronstein. 3713-3717 [doi]
• Supplementary Material: AVA-ActiveSpeaker: An Audio-Visual Dataset for Active Speaker DetectionJoseph Roth, Zhonghua Xi, Caroline Pantofaru, Sourish Chaudhuri, Ondrej Klejch, Radhika Marvin, Andrew C. Gallagher, Liat Kaver, Sharadh Ramaswamy, Arkadiusz Stopczynski, Cordelia Schmid. 3718-3722 [doi]
• Multi-Modal Domain Adaptation for Fine-Grained Action RecognitionJonathan Munro, Dima Damen. 3723-3726 [doi]
• Summarizing Long-Length Videos with GAN-Enhanced Audio/Visual FeaturesHansol Lee, Gyemin Lee. 3727-3731 [doi]
• DIFRINT: Deep Iterative Frame Interpolation for Full-Frame Video StabilizationJinSoo Choi, In-So Kweon. 3732-3736 [doi]
• Audio-Video Based Emotion Recognition Using Minimum Cost Flow AlgorithmXuan-Bac Nguyen, Gueesang Lee, Soo-Hyung Kim, Hyung Jeong Yang. 3737-3741 [doi]
• Multi-Modal Pyramid Feature Combination for Human Action RecognitionCarlos Roig, Manuel Sarmiento, David Varas, Issey Masuda, Juan Carlos Riveiro, Elisenda Bou-Balust. 3742-3746 [doi]
• TriDepth: Triangular Patch-Based Deep Depth PredictionMasaya Kaneko, Ken Sakurada, Kiyoharu Aizawa. 3747-3750 [doi]
• Spatial Perception by Object-Aware Visual Scene RepresentationChung-yeon Lee, Hyundo Lee, Injune Hwang, Byoung-Tak Zhang. 3751-3758 [doi]
• SLAMANTIC - Leveraging Semantics to Improve VSLAM in Dynamic EnvironmentsMatthias Schörghuber, Daniel Steininger, Yohann Cabon, Martin Humenberger, Margrit Gelautz. 3759-3768 [doi]
• Camera Relocalization by Exploiting Multi-View Constraints for Scene Coordinates RegressionMing Cai, Huangying Zhan, Chamara Saroj Weerasekera, Kejie Li, Ian Reid. 3769-3777 [doi]
• Adversarial Networks for Camera Pose Regression and RefinementMai Bui, Christoph Baur, Nassir Navab, Slobodan Ilic, Shadi Albarqouni. 3778-3787 [doi]
• How to Improve CNN-Based 6-DoF Camera Pose EstimationSoroush Seifi, Tinne Tuytelaars. 3788-3795 [doi]
• A System Framework for Localization and Mapping using High Resolution Cameras of Mobile DevicesLifeng Liu, Jian Li. 3796-3803 [doi]
• Removing Imaging Artifacts in Electron Microscopy using an Asymmetrically Cyclic Adversarial Network without Paired Training DataTran Minh Quan, David Grant Colburn Hildebrand, Kanggeun Lee, Logan A. Thomas, Aaron T. Kuan, Wei-Chung Allen Lee, Won-Ki Jeong. 3804-3813 [doi]
• Lightweight and Accurate Recursive Fractal Network for Image Super-ResolutionJuncheng Li 0003, Yiting Yuan, Kangfu Mei, Faming Fang. 3814-3823 [doi]
• Deep Video Deblurring: The Devil is in the DetailsJochen Gast, Stefan Roth 0001. 3824-3833 [doi]
• Adaptive Ptych: Leveraging Image Adaptive Generative Priors for Subsampled Fourier PtychographyFahad Shamshad, Asif Hanif, Farwa Abbas, Muhammad Awais, Ali Ahmed. 3834-3843 [doi]
• Deep Hyperspectral Prior: Single-Image Denoising, Inpainting, Super-ResolutionOleksii Sidorov, Jon Yngve Hardeberg. 3844-3851 [doi]
• Flickr1024: A Large-Scale Dataset for Stereo Image Super-ResolutionYingqian Wang, Longguang Wang, Jun-Gang Yang, Wei An, Yulan Guo. 3852-3857 [doi]
• Semi-Supervised Eye Makeup Transfer by Swapping Learned RepresentationFeida Zhu 0003, Hongji Cao, Zunlei Feng, Yongqiang Zhang, Wenbin Luo, Hucheng Zhou, Mingli Song, Kai-Kuang Ma. 3858-3867 [doi]
• Deep Camera: A Fully Convolutional Neural Network for Image Signal ProcessingSivalogeswaran Ratnasingam. 3868-3878 [doi]
• Image Super-Resolution via Residual Block Attention NetworksTao Dai, Hua Zha, Yong Jiang, Shu-Tao Xia. 3879-3886 [doi]
• Online Regularization by Denoising with Applications to Phase RetrievalZihui Wu, Yu Sun 0022, Jiaming Liu, Ulugbek Kamilov. 3887-3895 [doi]
• RIDNet: Recursive Information Distillation Network for Color Image DenoisingShengkai Zhuo, Zhi Jin, Wenbin Zou, Xia Li. 3896-3903 [doi]
• A HVS-Inspired Attention to Improve Loss Metrics for CNN-Based Perception-Oriented Super-ResolutionTaimoor Tariq, Juan Luis Gonzalez Bello, Munchurl Kim. 3904-3912 [doi]
• CNN-Based Cross-Dataset No-Reference Image Quality AssessmentDan Yang, Veli-Tapani Peltoketo, Joni-Kristian Kämäräinen. 3913-3921 [doi]
• Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus EquilibriumMuhammad Usman Ghani, W. Clem Karl. 3922-3932 [doi]
• Blind Unitary Transform Learning for Inverse Problems in Light-Field ImagingCameron J. Blocker, Jeffrey A. Fessler. 3933-3942 [doi]
• A Simple and Robust Deep Convolutional Approach to Blind Image Denoising