Table of Contents

• End-to-End Model-Based Gait RecognitionXiang Li, Yasushi Makihara, Chi Xu, Yasushi Yagi, Shiqi Yu, Mingwu Ren. 3-20 [doi]
• Horizontal Flipping Assisted Disentangled Feature Learning for Semi-supervised Person Re-identificationGehan Hao, Yang Yang, Xue Zhou, Guanan Wang, Zhen Lei. 21-37 [doi]
• MIX'EM: Unsupervised Image Classification Using a Mixture of EmbeddingsAli Varamesh, Tinne Tuytelaars. 38-55 [doi]
• Backbone Based Feature Enhancement for Object DetectionHaoqin Ji, Weizeng Lu, LinLin Shen. 56-70 [doi]
• Long-Term Cloth-Changing Person Re-identificationXuelin Qian, Wenxuan Wang, Li Zhang, Fangrui Zhu, Yanwei Fu, Tao Xiang, Yu-Gang Jiang, Xiangyang Xue. 71-88 [doi]
• Any-Shot Object DetectionShafin Rahman, Salman Khan, Nick Barnes, Fahad Shahbaz Khan. 89-106 [doi]
• Background Learnable Cascade for Zero-Shot Object DetectionYe Zheng, Ruoran Huang, Chuanqi Han, Xi Huang, Li Cui. 107-123 [doi]
• Unsupervised Domain Adaptive Object Detection Using Forward-Backward Cyclic AdaptationSiqi Yang, Lin Wu, Arnold Wiliem, Brian C. Lovell. 124-142 [doi]
• COG: COnsistent Data AuGmentation for Object PerceptionZewen He, Rui Wu, Dingqian Zhang. 143-154 [doi]
• Synthesizing the Unseen for Zero-Shot Object DetectionNasir Hayat, Munawar Hayat, Shafin Rahman, Salman Khan, Syed Waqas Zamir, Fahad Shahbaz Khan. 155-170 [doi]
• Fully Supervised and Guided Distillation for One-Stage DetectorsDeyu Wang, Dongchao Wen, Junjie Liu, Wei Tao, Tse-Wei Chen, Kinya Osa, Masami Kato. 171-188 [doi]
• Visualizing Color-Wise Saliency of Black-Box Image Classification ModelsYuhki Hatakeyama, Hiroki Sakuma, Yoshinori Konishi, Kohei Suenaga. 189-205 [doi]
• ERIC: Extracting Relations Inferred from ConvolutionsJoe Townsend, Theodoros Kasioumis, Hiroya Inakoshi. 206-222 [doi]
• D2D: Keypoint Extraction with Describe to Detect ApproachYurun Tian, Vassileios Balntas, Tony Ng, Axel Barroso Laguna, Yiannis Demiris, Krystian Mikolajczyk. 223-240 [doi]
• Accurate Arbitrary-Shaped Scene Text Detection via Iterative Polynomial Parameter RegressionJiahao Shi, Long Chen, Feng Su. 241-256 [doi]
• Adaptive Spotting: Deep Reinforcement Object Search in 3D Point CloudsOnkar Krishna, Go Irie, Xiaomeng Wu, Takahito Kawanishi, Kunio Kashino. 257-272 [doi]
• Efficient Large-Scale Semantic Visual Localization in 2D MapsTomas Vojir, Ignas Budvytis, Roberto Cipolla. 273-288 [doi]
• Synthetic-to-Real Unsupervised Domain Adaptation for Scene Text Detection in the WildWeijia Wu, Ning Lu, Enze Xie, Yuxing Wang, Wenwen Yu, Cheng Yang, Hong Zhou. 289-303 [doi]
• Scale-Aware Polar Representation for Arbitrarily-Shaped Text DetectionYanguang Bi, Zhiqiang Hu. 304-321 [doi]
• Branch Interaction Network for Person Re-identificationZengming Tang, Jun Huang. 322-337 [doi]
• BLT: Balancing Long-Tailed Datasets with Adversarially-Perturbed ImagesJedrzej Kozerawski, Victor Fragoso, Nikolaos Karianakis, Gaurav Mittal, Matthew A. Turk, Mei Chen. 338-355 [doi]
• Jointly Discriminating and Frequent Visual Representation MiningQiannan Wang, Ying Zhou, Zhaoyan Zhu, Xuefeng Liang, Yu Gu. 356-371 [doi]
• Discrete Spatial Importance-Based Deep Weighted HashingYang Shi, Xiushan Nie, Quan Zhou, Xiaoming Xi, Yilong Yin. 372-387 [doi]
• Low-Level Sensor Fusion for 3D Vehicle Detection Using Radar Range-Azimuth Heatmap and Monocular ImageJinhyeong Kim, Youngseok Kim, Dongsuk Kum. 388-402 [doi]
• MLIFeat: Multi-level Information Fusion Based Deep Local FeaturesYuyang Zhang, Jinge Wang, Shibiao Xu, Xiao Liu, Xiaopeng Zhang. 403-419 [doi]
• CLASS: Cross-Level Attention and Supervision for Salient Objects DetectionLv Tang, Bo Li 0061. 420-436 [doi]
• Cascaded Transposed Long-Range Convolutions for Monocular Depth EstimationGo Irie, Daiki Ikami, Takahito Kawanishi, Kunio Kashino. 437-453 [doi]
• Bridging Adversarial and Statistical Domain Transfer via Spectral Adaptation NetworksChristoph Raab, Philipp Väth, Peter Meier 0005, Frank-Michael Schleif. 457-473 [doi]
• Large-Scale Cross-Domain Few-Shot LearningJiechao Guan, Manli Zhang, Zhiwu Lu. 474-491 [doi]
• Channel Pruning for Accelerating Convolutional Neural Networks via Wasserstein MetricHaoran Duan, Hui Li. 492-505 [doi]
• Progressive Batching for Efficient Non-linear Least SquaresHuu Le, Christopher Zach, Edward Rosten, Oliver J. Woodford. 506-522 [doi]
• Fast and Differentiable Message Passing on Pairwise Markov Random FieldsZhiwei Xu, Thalaiyasingam Ajanthan, Richard I. Hartley. 523-540 [doi]
• A Calibration Method for the Generalized Imaging Model with Uncertain Calibration Target CoordinatesDavid Uhlig, Michael Heizmann. 541-559 [doi]
• Graph-Based Heuristic Search for Module Selection Procedure in Neural Module NetworkYuxuan Wu, Hideki Nakayama. 560-575 [doi]
• Towards Fast and Robust Adversarial Training for Image ClassificationErh-Chung Chen, Che-Rung Lee. 576-591 [doi]
• Few-Shot Zero-Shot Learning: Knowledge Transfer with Less SupervisionNanyi Fei, Jiechao Guan, Zhiwu Lu, Yizhao Gao. 592-608 [doi]
• Lossless Image Compression Using a Multi-scale Progressive Statistical ModelHonglei Zhang, Francesco Cricri, Hamed R. Tavakoli, Nannan Zou, Emre Aksu, Miska M. Hannuksela. 609-622 [doi]
• Spatial Class Distribution Shift in Unsupervised Domain Adaptation: Local Alignment Comes to RescueSafa Cicek, Ning Xu, Zhaowen Wang, Hailin Jin, Stefano Soatto. 623-638 [doi]
• Point Proposal Based Instance Segmentation with Rectangular Masks for Robot Picking TaskSatoshi Ito, Susumu Kubota. 641-653 [doi]
• Multi-task Learning with Future States for Vision-Based Autonomous DrivingInhan Kim, Hyemin Lee, Joonyeong Lee, Eunseop Lee, Daijin Kim 0001. 654-669 [doi]
• MTNAS: Search Multi-task Networks for Autonomous DrivingHao Liu, Dong Li, Jinzhang Peng, Qingjie Zhao, Lu Tian, Yi Shan. 670-687 [doi]
• Compact and Fast Underwater Segmentation Network for Autonomous Underwater VehiclesJiangtao Wang, Baihua Li, Yang Zhou, Emanuele Rocco, Qinggang Meng. 688-703 [doi]
• L2R GAN: LiDAR-to-Radar TranslationLeichen Wang, Bastian Goldluecke, Carsten Anklam. 704-720 [doi]
• V2A - Vision to Action: Learning Robotic Arm Actions Based on Vision and LanguageMichal Nazarczuk, Krystian Mikolajczyk. 721-736 [doi]
• To Filter Prune, or to Layer Prune, That Is the QuestionSara Elkerdawy, Mostafa Elhoushi, Abhineet Singh, Hong Zhang 0013, Nilanjan Ray. 737-753 [doi]