Abstract is missing.
- What Will I Do Next? The Intention from Motion ExperimentAndrea Zunino, Jacopo Cavazza, Atesh Koul, Andrea Cavallo, Cristina Becchio, Vittorio Murino. 1-8 [doi]
- The Role of Synchronic Causal Conditions in Visual Knowledge LearningSeng-Beng Ho. 9-16 [doi]
- Joint 3D Human Motion Capture and Physical Analysis from Monocular VideosPetrissa Zell, Bastian Wandt, Bodo Rosenhahn. 17-26 [doi]
- Attention-Based Natural Language Person RetrievalTao Zhou, Muhao Chen, Jie Yu, Demetri Terzopoulos. 27-34 [doi]
- AcFR: Active Face Recognition Using Convolutional Neural NetworksMasaki Nakada, Han Wang, Demetri Terzopoulos. 35-40 [doi]
- Automated Layout Synthesis and Visualization from Images of Interior or Exterior SpacesTomer Weiss, Masaki Nakada, Demetri Terzopoulos. 41-47 [doi]
- Inferring Hidden Statuses and Actions in Video by Causal ReasoningAmy Sue Fire, Song Chun Zhu. 48-56 [doi]
- Automatic Curation of Golf Highlights Using Multimodal Excitement FeaturesMichele Merler, Dhiraj Joshi, Quoc-Bao Nguyen, Stephen Hammer, John Kent, John R. Smith, Rogério Schmidt Feris. 57-65 [doi]
- Singlets: Multi-resolution Motion Singularities for Soccer Video AbstractionKaty Blanc, Diane Lingrand, Frédéric Precioso. 66-75 [doi]
- Learning to Score Olympic EventsParitosh Parmar, Brendan Tran Morris. 76-84 [doi]
- Hockey Action Recognition via Integrated Stacked Hourglass NetworkMehrnaz Fani, Helmut Neher, David A. Clausi, Alexander Wong, John S. Zelek. 85-93 [doi]
- Extraction and Classification of Diving Clips from Continuous Video FootageAiden Nibali, Zhen He, Stuart Morgan, Daniel Greenwood. 94-104 [doi]
- Accurate and Efficient 3D Human Pose Estimation Algorithm Using Single Depth Images for Pose Analysis in GolfSoonchan Park, Ju Yong Chang, Hyuk Jeong, Jae-Ho Lee, Jiyoung Park. 105-113 [doi]
- Athlete Pose Estimation by a Global-Local NetworkJihye Hwang, Sungheon Park, Nojun Kwak. 114-121 [doi]
- Continuous Video to Simple Signals for Swimming Stroke Detection with Convolutional Neural NetworksBrandon Victor, Zhen He, Stuart Morgan, Dino Miniutti. 122-131 [doi]
- Application of Computer Vision and Vector Space Model for Tactical Movement Classification in BadmintonKokum Weeratunga, Anuja Dharmaratne, Khoo Boon How. 132-138 [doi]
- Automatic Tactical Adjustment in Real-Time: Modeling Adversary Formations with Radon-Cumulative Distribution Transform and Canonical Correlation AnalysisAmir M. Rahimi, Soheil Kolouri, Rajan Bhattacharyya. 139-146 [doi]
- Classification of Puck Possession Events in Ice HockeyMoumita Roy Tora, Jianhui Chen, James J. Little. 147-154 [doi]
- Football Action Recognition Using Hierarchical LSTMTakamasa Tsunoda, Yasuhiro Komori, Masakazu Matsugu, Tatsuya Harada. 155-163 [doi]
- Ball 3D Trajectory Reconstruction without Preliminary Temporal and Geometrical Camera CalibrationShogo Miyata, Hideo Saito, Kosuke Takahashi, Dan Mikami, Mariko Isogawa, Hideaki Kimata. 164-169 [doi]
- Deep Learning for Domain-Specific Action Recognition in TennisSilvia Vinyes Mora, William J. Knottenbelt. 170-178 [doi]
- Court-Based Volleyball Video Summarization Focusing on Rally SceneTakahiro Itazuri, Tsukasa Fukusato, Shugo Yamaguchi, Shigeo Morishima. 179-186 [doi]
- Measuring Energy Expenditure in Sports by Thermal Video AnalysisRikke Gade, Ryan Godsk Larsen, Thomas B. Moeslund. 187-194 [doi]
- Infrared Variation Optimized Deep Convolutional Neural Network for Robust Automatic Ground Target RecognitionSungho Kim, Woo-Jin Song, So-Hyun Kim. 195-202 [doi]
- RGB-D Scene Labeling with Multimodal Recurrent Neural NetworksHeng Fan, Xue Mei, Danil V. Prokhorov, Haibin Ling. 203-211 [doi]
- Infrared Image Colorization Based on a Triplet DCGAN ArchitecturePatricia L. Suarez, Angel Domingo Sappa, Boris Xavier Vintimilla. 212-217 [doi]
- An Algorithm for Parallel Reconstruction of Jointly Sparse Tensors with Applications to Hyperspectral ImagingQun Li, Edgar A. Bernal. 218-225 [doi]
- Deep Heterogeneous Face Recognition Networks Based on Cross-Modal Distillation and an Equitable Distance MetricChristopher Reale, Hyungtae Lee, Heesung Kwon. 226-232 [doi]
- Aerial Vehicle Tracking by Adaptive Fusion of Hyperspectral Likelihood MapsBurak Uzkent, Aneesh Rangnekar, Matthew J. Hoffman. 233-242 [doi]
- Fully Convolutional Region Proposal Networks for Multispectral Person DetectionDaniel Konig, Michael Adam, Christian Jarvers, Georg Layher, Heiko Neumann, Michael Teutsch. 243-250 [doi]
- A Logarithmic X-Ray Imaging Model for Baggage Inspection: Simulation and Object DetectionDomingo Mery, Aggelos K. Katsaggelos. 251-259 [doi]
- A Fast Approximate Spectral Unmixing Algorithm Based on SegmentationJing Ke, Yi Guo, Arcot Sowmya. 260-266 [doi]
- The First Automatic Method for Mapping the Pothole in SeagrassMaryam Rahnemoonfar, Masoud Yari, Abdullah Rahman, Richard Kline. 267-274 [doi]
- Face Presentation Attack with Latex Masks in Multispectral VideosAkshay Agarwal, Daksha Yadav, Naman Kohli, Richa Singh, Mayank Vatsa, Afzel Noore. 275-283 [doi]
- Privacy-Preserving Understanding of Human Body Orientation for Smart MeetingsIndrani Bhattacharya, Noam Eshed, Richard J. Radke. 284-292 [doi]
- Selecting an Optimized COTS Filter Set for Multispectral Plenoptic SensingTimothy Doster, Colin C. Olson, Erin Fleet, Michael Yetzbacher. 293-301 [doi]
- A Novel Detection Paradigm and Its Comparison to Statistical and Kernel-Based Anomaly Detection Algorithms for Hyperspectral ImageryColin C. Olson, Timothy Doster. 302-308 [doi]
- Learning Spatiotemporal Features for Infrared Action Recognition with 3D Convolutional Neural NetworksZhuolin Jiang, Viktor Rozgic, Sancar Adali. 309-317 [doi]
- Fast, Accurate Thin-Structure Obstacle Detection for Autonomous Mobile RobotsChen Zhou, Jiaolong Yang, ChunShui Zhao, Gang Hua. 318-327 [doi]
- Sparse, Quantized, Full Frame CNN for Low Power Embedded DevicesManu Mathew, Kumar Desappan, Pramod Kumar Swami, Soyeb Nagori. 328-336 [doi]
- Reconstructing Intensity Images from Binary Spatial Gradient CamerasSuren Jayasuriya, Orazio Gallo, Jinwei Gu, Timo Aila, Jan Kautz. 337-343 [doi]
- Binarized Convolutional Neural Networks with Separable Filters for Efficient Hardware AccelerationJeng-Hau Lin, Tianwei Xing, Ritchie Zhao, Zhiru Zhang, Mani B. Srivastava, Zhuowen Tu, Rajesh K. Gupta. 344-352 [doi]
- Joint Mobile-Cloud Video StabilizationGbolahan S. Adesoye, Oliver Wang. 353-360 [doi]
- Embedded Robust Visual Obstacle Detection on Autonomous Lawn MowersMathias Franzius, Mark Dunn, Nils Einecke, Roman Dirnberger. 361-369 [doi]
- Improved Cooperative Stereo Matching for Dynamic Vision Sensors with Ground Truth EvaluationEwa Piatkowska, Jürgen Kogler, Ahmed Nabil Belbachir, Margrit Gelautz. 370-377 [doi]
- Diagnostic Mechanism and Robustness of Safety Relevant Automotive Deep Convolutional NetworksRobert Krutsch, Rolf Schlagenhaft. 378-385 [doi]
- Hand Gesture Based Region Marking for Tele-Support Using WearablesArchie Gupta, Shreyash Mohatta, Jitender Maurya, Ramakrishna Perla, Ramya Hebbalaguppe, Ehtesham Hassan. 386-392 [doi]
- Even More Confident Predictions with Deep Machine-LearningMatteo Poggi, Fabio Tosi, Stefano Mattoccia. 393-401 [doi]
- Low-Complexity Global Motion Estimation for Aerial VehiclesNirmala Ramakrishnan, Alok Prakash, Thambipillai Srikanthan. 402-410 [doi]
- LCDet: Low-Complexity Fully-Convolutional Neural Networks for Object Detection in Embedded SystemsSubarna Tripathi, Gokce Dane, Byeongkeun Kang, Vasudev Bhaskaran, Truong Nguyen. 411-420 [doi]
- Image-Based Visual Perception and Representation for Collision AvoidanceCevahir Cigla, Roland Brockers, Larry H. Matthies. 421-429 [doi]
- Pruning ConvNets Online for Efficient Specialist ModelsJia Guo, Miodrag Potkonjak. 430-437 [doi]
- Real-Time Driver Drowsiness Detection for Embedded System Using Model Compression of Deep Neural NetworksBhargava Reddy, Ye-Hoon Kim, Sojung Yun, Chanwon Seo, Junik Jang. 438-445 [doi]
- SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous DrivingBichen Wu, Forrest N. Iandola, Peter H. Jin, Kurt Keutzer. 446-454 [doi]
- Training Sparse Neural NetworksSuraj Srinivas, Akshayvarun Subramanya, R. Venkatesh Babu. 455-462 [doi]
- SqueezeMap: Fast Pedestrian Detection on a Low-Power Automotive Processor Using Efficient Convolutional Neural NetworksRytis Verbickas, Robert Laganière, Daniel Laroche, Changyun Zhu, Xiaoyin Xu, Ali Ors. 463-471 [doi]
- Learning Robot Activities from First-Person Human Videos Using Convolutional Future RegressionJangwon Lee, Michael S. Ryoo. 472-473 [doi]
- End-to-End Driving in a Realistic Racing Game with Deep Reinforcement LearningEtienne Perot, Maximilian Jaritz, Marin Toromanoff, Raoul de Charette. 474-475 [doi]
- Automated Risk Assessment for Scene Understanding and Domestic Robots Using RGB-D Data and 2.5D CNNs at a Patch LevelRob Dupre, Georgios Tzimiropoulos, Vasileios Argyriou. 476-477 [doi]
- Semantic Instance Segmentation for Autonomous DrivingBert De Brabandere, Davy Neven, Luc Van Gool. 478-480 [doi]
- Real-Time Hand Grasp Recognition Using Weakly Supervised Two-Stage Convolutional Neural Networks for Understanding Manipulation ActionsJi Woong Kim, Sujeong You, Sang-Hoon Ji, Hong-seok Kim. 481-483 [doi]
- Finding Anomalies with Generative Adversarial Networks for a PatrolbotWallace E. Lawson, Esube Bekele, Keith Sullivan. 484-485 [doi]
- Time-Contrastive Networks: Self-Supervised Learning from Multi-view ObservationPierre Sermanet, Corey Lynch, Jasmine Hsu, Sergey Levine. 486-487 [doi]
- Curiosity-Driven Exploration by Self-Supervised PredictionDeepak Pathak, Pulkit Agrawal, Alexei A. Efros, Trevor Darrell. 488-489 [doi]
- Leveraging Deep Reinforcement Learning for Reaching Robotic TasksKapil D. Katyal, I-Jeng Wang, Philippe Burlina. 490-491 [doi]
- Hand Movement Prediction Based Collision-Free Human-Robot InteractionYiwei Wang, Xin Ye, Yezhou Yang, Wenlong Zhang. 492-493 [doi]
- 3D Pose Regression Using Convolutional Neural NetworksSiddharth Mahendran, Haider Ali, René Vidal. 494-495 [doi]
- Tuning Modular Networks with Weighted Losses for Hand-Eye CoordinationFangyi Zhang, Jürgen Leitner, Michael Milford, Peter I. Corke. 496-497 [doi]
- Episode-Based Active Learning with Bayesian Neural NetworksFeras Dayoub, Niko Sünderhauf, Peter I. Corke. 498-500 [doi]
- Detecting and Grouping Identical Objects for Region Proposal and ClassificationWim Abbeloos, Sergio Caccamo, Esra Ataer Cansizoglu, Yuichi Taguchi, Chen Feng, Teng-Yok Lee. 501-502 [doi]
- Age Estimation Guided Convolutional Neural Network for Age-Invariant Face RecognitionTianyue Zheng, Weihong Deng, Jiani Hu. 503-511 [doi]
- Deep LDA-Pruned Nets for Efficient Facial Gender ClassificationQing Tian, Tal Arbel, James J. Clark. 512-521 [doi]
- Adaptive Deep Metric Learning for Identity-Aware Facial Expression RecognitionXiaofeng Liu, B. V. K. Vijaya Kumar, Jane You, Ping Jia. 522-531 [doi]
- GaitGAN: Invariant Gait Feature Extraction Using Generative Adversarial NetworksShiqi Yu, Haifeng Chen, Edel B. Garcia Reyes, Norman Poh. 532-539 [doi]
- Component Biologically Inspired Features with Moving Segmentation for Age EstimationGee-Sern Jison Hsu, Yi-Tseng Cheng, Choon-Ching Ng, Moi Hoon Yap. 540-547 [doi]
- Face Recognition Performance under AgingDebayan Deb, Lacey Best-Rowden, Anil K. Jain. 548-556 [doi]
- Predicting Face Recognition Performance in Unconstrained EnvironmentsP. Jonathon Phillips, Amy N. Yates, J. Ross Beveridge, Geof H. Givens. 557-565 [doi]
- Person Re-identification for Improved Multi-person Multi-camera Tracking by Continuous Entity AssociationNeeti Narayan, Nishant Sankaran, Devansh Arpit, Karthik Dantu, Srirangaraj Setlur, Venu Govindaraju. 566-572 [doi]
- Toward Open-Set Face RecognitionManuel Günther, Steve Cruz, Ethan M. Rudd, Terrance E. Boult. 573-582 [doi]
- Investigating Nuisance Factors in Face Recognition with DCNN RepresentationClaudio Ferrari, Giuseppe Lisanti, Stefano Berretti, Alberto Del Bimbo. 583-591 [doi]
- IARPA Janus Benchmark-B Face DatasetCameron Whitelam, Emma Taborsky, Austin Blanton, Brianna Maze, Jocelyn C. Adams, Tim Miller, Nathan D. Kalka, Anil K. Jain, James A. Duncan, Kristen Allen, Jordan Cheney, Patrick Grother. 592-600 [doi]
- Efficient Image Set Classification Using Linear Regression Based Image ReconstructionSyed Afaq Ali Shah, Uzair Nadeem, Mohammed Bennamoun, Ferdous Ahmed Sohel, Roberto Togneri. 601-610 [doi]
- Deep Convolutional Neural Network Using Triplets of Faces, Deep Ensemble, and Score-Level Fusion for Face RecognitionBong-Nam Kang, Yonghyun Kim, Daijin Kim. 611-618 [doi]
- Transfer Learning Based Evolutionary Algorithm for Composite Face Sketch RecognitionTarang Chugh, Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa. 619-627 [doi]
- Analysis, Comparison, and Assessment of Latent Fingerprint Image PreprocessingHaiying Guan, Paul Lee, Andrew Dienstfrey, Mary Theofanos, Curtis Lamp, Brian Stanton, Matthew T. Schwarz. 628-635 [doi]
- Parsimonious Coding and Verification of Offline Handwritten SignaturesElias N. Zois, Ilias Theodorakopoulos, Dimitrios Tsourounis, George Economou. 636-645 [doi]
- Robust Verification With Subsurface Fingerprint Recognition Using Full Field Optical Coherence TomographyKiran B. Raja, Egidijus Auksorius, R. Raghavendra, A. Claude Boccara, Christoph Busch. 646-654 [doi]
- Iris Super-Resolution Using Iterative Neighbor EmbeddingFernando Alonso-Fernandez, Reuben A. Farrugia, Josef Bigün. 655-663 [doi]
- Iris Liveness Detection by Relative Distance ComparisonsFederico Pala, Bir Bhanu. 664-671 [doi]
- Face Presentation Attack Detection by Exploring Spectral SignaturesR. Raghavendra, Kiran B. Raja, Sushma Venkatesh, Christoph Busch. 672-679 [doi]
- The Square Root Velocity Framework for Curves in a Homogeneous SpaceZhe Su, Eric Klassen, Martin Bauer. 680-689 [doi]
- Poisson Disk Sampling on the Grassmannnian: Applications in Subspace OptimizationRushil Anirudh, Bhavya Kailkhura, Jayaraman J. Thiagarajan, Peer-Timo Bremer. 690-698 [doi]
- Riemannian Variance Filtering: An Independent Filtering Scheme for Statistical Tests on Manifold-Valued DataLigang Zheng, Hyunwoo J. Kim, Nagesh Adluru, Michael A. Newton, Vikas Singh. 699-708 [doi]
- Measuring Glide-Reflection Symmetry in Human Movements Using Elastic Shape AnalysisQiao Wang, Chaitanya Potaraju, Pavan K. Turaga. 709-716 [doi]
- Learning Shape Trends: Parameter Estimation in Diffusions on Shape ManifoldsValentina Staneva, Laurent Younes. 717-725 [doi]
- A Riemannian Framework for Linear and Quadratic Discriminant Analysis on the Tangent Space of ShapesSusovan Pal, Roger P. Woods, Suchit Panjiyar, Elizabeth R. Sowell, Katherine L. Narr, Shantanu H. Joshi. 726-734 [doi]
- Signal Classification in Quotient Spaces via Globally Optimal Variational CalculusGregory S. Chirikjian. 735-743 [doi]
- Manifold Guided Label Transfer for Deep Domain AdaptationBreton Minnehan, Andreas E. Savakis. 744-752 [doi]
- CNN Based Yeast Cell Segmentation in Multi-modal Fluorescent Microscopy DataAli Selman Aydin, Abhinandan Dubey, Daniel Dovrat, Amir Aharoni, Roy Shilkrot. 753-759 [doi]
- Classification and Retrieval of Digital Pathology Scans: A New DatasetMorteza Babaie, Shivam Kalra, Aditya Sriram, Christopher Mitcheltree, Shujin Zhu, Amin Khatami, Shahryar Rahnamayan, Hamid R. Tizhoosh. 760-768 [doi]
- Breast Cancer Histopathological Image Classification: Is Magnification Important?Vibha Gupta, Arnav Bhavsar. 769-776 [doi]
- Delineation of Skin Strata in Reflectance Confocal Microscopy Images with Recurrent Convolutional NetworksAlican Bozkurt, Trevor Gale, Kivanç Köse, Christi Alessi-Fox, Dana H. Brooks, Milind Rajadhyaksha, Jennifer G. Dy. 777-785 [doi]
- Crowdsourcing for Chromosome Segmentation and Deep ClassificationMonika Sharma, Oindrila Saha, Anand Sriraman, Ramya Hebbalaguppe, Lovekesh Vig, Shirish Karande. 786-793 [doi]
- Generative Adversarial Learning for Reducing Manual Annotation in Semantic Segmentation on Large Scale Miscroscopy Images: Automated Vessel Segmentation in Retinal Fundus Image as Test CaseAvisek Lahiri, Kumar Ayush, Prabir Kumar Biswas, Pabitra Mitra. 794-800 [doi]
- Microscopic Blood Smear Segmentation and Classification Using Deep Contour Aware CNN and Extreme Machine LearningMuhammad Imran Razzak, Saeeda Naz. 801-807 [doi]
- Applying Faster R-CNN for Object Detection on Malaria ImagesJane Hung, Anne E. Carpenter. 808-813 [doi]
- An Early Experience Toward Developing Computer Aided Diagnosis for Gram-Stained Smears ImagesJohanna Carvajal, Daniel F. Smith, Kun Zhao, Arnold Wiliem, Paul Finucane, Peter Hobson, Anthony Jennings, Rodney McDougall, Brian C. Lovell. 814-820 [doi]
- Looking Under the Hood: Deep Neural Network Visualization to Interpret Whole-Slide Image Analysis Outcomes for Colorectal PolypsBruno Korbar, Andrea M. Olofson, Allen P. Miraflor, Catherine M. Nicka, Matthew A. Suriawinata, Lorenzo Torresani, Arief A. Suriawinata, Saeed Hassanpour. 821-827 [doi]
- High-Magnification Multi-views Based Classification of Breast Fine Needle Aspiration Cytology Cell Samples Using Fusion of Decisions from Deep Convolutional NetworksHrushikesh Garud, Sri Phani Krishna Karri, Debdoot Sheet, Jyotirmoy Chatterjee, Manjunatha Mahadevappa, Ajoy Kumar Ray, Arindam Ghosh, Ashok K. Maity. 828-833 [doi]
- Nuclei Segmentation of Fluorescence Microscopy Images Using Three Dimensional Convolutional Neural NetworksDavid Joon Ho, Chichen Fu, Paul Salama, Kenneth W. Dunn, Edward J. Delp. 834-842 [doi]
- DeepXScope: Segmenting Microscopy Images with a Deep Neural NetworkPhilip Saponaro, Wayne Treible, Abhishek Kolagunda, Timothy Chaya, Jeffrey Caplan, Chandra Kambhamettu, Randall Wisser. 843-850 [doi]
- Transferring Microscopy Image Modalities with Conditional Generative Adversarial NetworksLiang Han, Zhaozheng Yin. 851-859 [doi]
- Fast Neural Cell Detection Using Light-Weight SSD Neural NetworkJingru Yi, Pengxiang Wu, Daniel J. Hoeppner, Dimitris N. Metaxas. 860-864 [doi]
- A Level Set Method for Gland SegmentationChen Wang, Hong Bu, Ji Bao, Chunming Li. 865-873 [doi]
- A Large and Diverse Dataset for Improved Vehicle Make and Model RecognitionFaezeh Tafazzoli, Hichem Frigui, Keishin Nishiyama. 874-881 [doi]
- Evaluating State-of-the-Art Object Detector on Challenging Traffic Light DataMorten B. Jensen, Kamal Nasrollahi, Thomas B. Moeslund. 882-888 [doi]
- Slot Cars: 3D Modelling for Improved Visual Traffic AnalyticsEduardo R. Corral-Soto, James H. Elder. 889-897 [doi]
- A Cost-Effective Framework for Automated Vehicle-Pedestrian Near-Miss Detection Through Onboard Monocular VisionRuimin Ke, Jerome Lutin, Jerry Spears, Yinhai Wang. 898-905 [doi]
- EDeN: Ensemble of Deep Networks for Vehicle ClassificationRajkumar Theagarajan, Federico Pala, Bir Bhanu. 906-913 [doi]
- Vehicle Type Classification Using Bagging and Convolutional Neural Network on Multi View Surveillance ImagePyong-Kun Kim, Kil-Taek Lim. 914-919 [doi]
- Deep Learning-Based Vehicle Classification Using an Ensemble of Local Expert and Global NetworksJong Taek Lee, Yunsu Chung. 920-925 [doi]
- Efficient Scene Layout Aware Object Detection for Traffic SurveillanceTao Wang, Xuming He, Songzhi Su, Yin Guan. 926-933 [doi]
- ResNet-Based Vehicle Classification and Localization in Traffic Surveillance SystemsHeechul Jung, Min-Kook Choi, Jihun Jung, Jin-Hee Lee, Soon Kwon, Woo Young Jung. 934-940 [doi]
- Scene-Text-Detection Method Robust Against Orientation and Discontiguous Components of CharactersRei Endo, Yoshihiko Kawai, Hideki Sumiyoshi, Masanori Sano. 941-949 [doi]
- Uncertainty Quantification of Lucas Kanade Feature Track and Application to Visual OdometryXue Iuan Wong, Manoranjan Majji. 950-958 [doi]
- Cluster-Wise Ratio Tests for Fast Camera LocalizationRaúl Díaz, Charless C. Fowlkes. 959-968 [doi]
- Ground Truth Accuracy and Performance of the Matching PipelineJosef Maier, Martin Humenberger, Oliver Zendel, Markus Vincze. 969-979 [doi]
- EgoTracker: Pedestrian Tracking with Re-identification in Egocentric VideosJyoti Nigam, Renu M. Rameshan. 980-987 [doi]
- Probabilistic Global Scale Estimation for MonoSLAM Based on Generic Object DetectionEdgar Sucar, Jean-Bernard Hayet. 988-996 [doi]
- Locally Adaptive Color Correction for Underwater Image Dehazing and MatchingCodruta O. Ancuti, Cosmin Ancuti, Christophe De Vleeschouwer, Rafael García. 997-1005 [doi]
- Depth-Stretch: Enhancing Depth Perception Without DepthHagit Hel-Or, Yacov Hel-Or, Renato Keshet. 1006-1014 [doi]
- FAST: A Framework to Accelerate Super-Resolution Processing on Compressed VideosZhengdong Zhang, Vivienne Sze. 1015-1024 [doi]
- Fast External Denoising Using Pre-Learned TransformationsShibin Parameswaran, Enming Luo, Charles-Alban Deledalle, Truong Q. Nguyen. 1025-1033 [doi]
- FormResNet: Formatted Residual Learning for Image RestorationJianbo Jiao, Wei-Chih Tu, Shengfeng He, Rynson W. H. Lau. 1034-1042 [doi]
- Exploiting Reflectional and Rotational Invariance in Single Image SuperresolutionSimon Donné, Laurens Meeus, Hiêp Quang Luong, Bart Goossens, Wilfried Philips. 1043-1049 [doi]
- Image Super Resolution Based on Fusing Multiple Convolution Neural NetworksHaoyu Ren, Mostafa El-Khamy, Jungwon Lee. 1050-1057 [doi]
- PaletteNet: Image Recolorization with Given Color PaletteJunho Cho, Sangdoo Yun, Kyoungmu Lee, Jin-Young Choi. 1058-1066 [doi]
- SRHRF+: Self-Example Enhanced Single Image Super-Resolution Using Hierarchical Random ForestsJun-Jie Huang, Tian-Rui Liu, Pier Luigi Dragotti, Tania Stathaki. 1067-1075 [doi]
- Image Denoising via CNNs: An Adversarial ApproachNithish Divakar, R. Venkatesh Babu. 1076-1083 [doi]
- Multi-Resolution Data Fusion for Super-Resolution Electron MicroscopySuhas Sreehari, S. V. Venkatakrishnan, Katherine L. Bouman, Jeffrey P. Simmons, Lawrence F. Drummy, Charles A. Bouman. 1084-1092 [doi]
- Fast and Accurate Image Super-Resolution Using a Combined LossJinchang Xu, Yu Zhao, Yuan Dong, Hongliang Bai. 1093-1099 [doi]
- Deep Wavelet Prediction for Image Super-ResolutionTiantong Guo, Hojjat Seyed Mousavi, Tiep Huu Vu, Vishal Monga. 1100-1109 [doi]
- NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and ResultsRadu Timofte, Eirikur Agustsson, Luc Van Gool, Ming-Hsuan Yang 0001, Lei Zhang, Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, Kyoung Mu Lee, Xintao Wang, Yapeng Tian, Ke Yu, Yulun Zhang, Shixiang Wu, Chao Dong, Liang Lin, Yu Qiao, Chen Change Loy, Woong Bae, Jaejun Yoo, Yoseob Han, Jong Chul Ye, Jae-Seok Choi, Munchurl Kim, Yuchen Fan, Jiahui Yu, Wei Han, Ding Liu, Haichao Yu, Zhangyang Wang, Honghui Shi, Xinchao Wang, Thomas S. Huang, Yunjin Chen, Kai Zhang, Wangmeng Zuo, Zhimin Tang, Linkai Luo, Shaohui Li, Min Fu, Lei Cao, Wen Heng, Giang Bui, Truc Le, Ye Duan, Dacheng Tao, Ruxin Wang, Xu Lin, Jianxin Pang, Jinchang Xu, Yu Zhao, Xiangyu Xu, Jin-shan Pan, Deqing Sun, Yujin Zhang, Xibin Song, Yuchao Dai, Xueying Qin, Xuan-Phung Huynh, Tiantong Guo, Hojjat Seyed Mousavi, Tiep Huu Vu, Vishal Monga, Cristóvão Cruz, Karen O. Egiazarian, Vladimir Katkovnik, Rakesh Mehta, Arnav Kumar Jain, Abhinav Agarwalla, Ch V. Sai Praveen, Ruofan Zhou, Hongdiao Wen, Che Zhu, Zhiqiang Xia, Zhengtao Wang, Qi Guo. 1110-1121 [doi]
- NTIRE 2017 Challenge on Single Image Super-Resolution: Dataset and StudyEirikur Agustsson, Radu Timofte. 1122-1131 [doi]
- Enhanced Deep Residual Networks for Single Image Super-ResolutionBee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, Kyoung Mu Lee. 1132-1140 [doi]
- Beyond Deep Residual Learning for Image Restoration: Persistent Homology-Guided Manifold SimplificationWoong Bae, Jaejun Yoo, Jong Chul Ye. 1141-1149 [doi]
- A Deep Convolutional Neural Network with Selection Units for Super-ResolutionJae-Seok Choi, Munchurl Kim. 1150-1156 [doi]
- Balanced Two-Stage Residual Networks for Image Super-ResolutionYuchen Fan, Honghui Shi, Jiahui Yu, Ding Liu, Wei Han, Haichao Yu, Zhangyang Wang, Xinchao Wang, Thomas S. Huang. 1157-1164 [doi]
- DriveAHead - A Large-Scale Driver Head Pose DatasetAnke Schwarz, Monica-Laura Haurilet, Manuel Martinez, Rainer Stiefelhagen. 1165-1174 [doi]
- The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic SegmentationSimon Jégou, Michal Drozdzal, David Vázquez, Adriana Romero, Yoshua Bengio. 1175-1183 [doi]
- Rear-Stitched View Panorama: A Low-Power Embedded Implementation for Smart Rear-View Mirrors on VehiclesJanice Pan, Vikram V. Appia, Jesse Villarreal, Lucas Weaver, Do-Kyoung Kwon. 1184-1193 [doi]
- End-To-End Ego Lane Estimation Based on Sequential Transfer Learning for Self-Driving CarsJiman Kim, ChanJong Park. 1194-1202 [doi]
- Robust Hand Detection and Classification in Vehicles and in the WildT. Hoang Ngan Le, Kha Gia Quach, Chenchen Zhu, Chi Nhan Duong, Khoa Luu, Marios Savvides. 1203-1210 [doi]
- Motion Language of Stereo Image SequenceTomoya Kato, Hayato Itoh, Atsushi Imiya. 1211-1218 [doi]
- Deep Local Video Feature for Action RecognitionZhen-zhong Lan, Yi Zhu, Alexander G. Hauptmann, Shawn D. Newsam. 1219-1225 [doi]
- Video Action Recognition Based on Deeper Convolution Networks with Pair-Wise Frame Motion ConcatenationYamin Han, Peng Zhang, Tao Zhuo, Wei Huang, Yanning Zhang. 1226-1235 [doi]
- Hand-Object Interaction Detection with Fully Convolutional NetworksMatthias Schröder 0002, Helge J. Ritter. 1236-1243 [doi]
- Object State Recognition for Automatic AR-Based Maintenance GuidancePavel Dvorak, Radovan Josth, Elisabetta Delponte. 1244-1250 [doi]
- When Kernel Methods Meet Feature Learning: Log-Covariance Network for Action Recognition From Skeletal DataJacopo Cavazza, Pietro Morerio, Vittorio Murino. 1251-1258 [doi]
- Fast Simplex-HMM for One-Shot Learning Activity RecognitionMario Rodríguez, Carlos Orrite, Carlos Medrano, Dimitrios Makris. 1259-1266 [doi]
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- Facial Expression Recognition Using Enhanced Deep 3D Convolutional Neural NetworksBehzad Hassani, Mohammad H. Mahoor. 2278-2288 [doi]
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- Speech-Driven 3D Facial Animation with Implicit Emotional Awareness: A Deep Learning ApproachHai Xuan Pham, Samuel Cheung, Vladimir Pavlovic. 2328-2336 [doi]