Abstract is missing.
- EfficientFCN: Holistically-Guided Decoding for Semantic SegmentationJianbo Liu, Junjun He, Jiawei Zhang, Jimmy S. Ren, Hongsheng Li. 1-17 [doi]
- GroSS: Group-Size Series Decomposition for Grouped Architecture SearchHenry Howard-Jenkins, Yiwen Li, Victor Adrian Prisacariu. 18-33 [doi]
- Efficient Adversarial Attacks for Visual Object TrackingSiyuan Liang, Xingxing Wei, Siyuan Yao, Xiaochun Cao. 34-50 [doi]
- Globally-Optimal Event Camera Motion EstimationXin Peng, Yifu Wang, Ling Gao, Laurent Kneip. 51-67 [doi]
- Weakly-Supervised Learning of Human DynamicsPetrissa Zell, Bodo Rosenhahn, Bastian Wandt. 68-84 [doi]
- Journey Towards Tiny Perceptual Super-ResolutionRoyson Lee, Lukasz Dudziak, Mohamed S. Abdelfattah, Stylianos I. Venieris, Hyeji Kim, Hongkai Wen 0001, Nicholas D. Lane. 85-102 [doi]
- What Makes Fake Images Detectable? Understanding Properties that GeneralizeLucy Chai, David Bau, Ser-Nam Lim, Phillip Isola. 103-120 [doi]
- Embedding Propagation: Smoother Manifold for Few-Shot ClassificationPau Rodríguez, Issam H. Laradji, Alexandre Drouin, Alexandre Lacoste. 121-138 [doi]
- Category Level Object Pose Estimation via Neural Analysis-by-SynthesisXu Chen, Zijian Dong, Jie Song 0006, Andreas Geiger, Otmar Hilliges. 139-156 [doi]
- High-Fidelity Synthesis with Disentangled RepresentationWonkwang Lee, Donggyun Kim, Seunghoon Hong, Honglak Lee. 157-174 [doi]
- 1P - Point-Line Minimal Problems Under Partial Visibility in Three ViewsTimothy Duff, Kathlén Kohn, Anton Leykin, Tomás Pajdla. 175-192 [doi]
- Prediction and Recovery for Adaptive Low-Resolution Person Re-IdentificationKe Han, Yan Huang, Zerui Chen, Liang Wang, Tieniu Tan. 193-209 [doi]
- Learning Canonical Representations for Scene Graph to Image GenerationRoei Herzig, Amir Bar, Huijuan Xu, Gal Chechik, Trevor Darrell, Amir Globerson. 210-227 [doi]
- Adversarial Robustness on In- and Out-Distribution Improves ExplainabilityMaximilian Augustin, Alexander Meinke, Matthias Hein 0001. 228-245 [doi]
- Deformable Style TransferSunnie S. Y. Kim, Nicholas I. Kolkin, Jason Salavon, Gregory Shakhnarovich. 246-261 [doi]
- Aligning Videos in Space and TimeSenthil Purushwalkam, Tian Ye, Saurabh Gupta 0001, Abhinav Gupta 0001. 262-278 [doi]
- Neural Wireframe Renderer: Learning Wireframe to Image TranslationsYuan Xue, Zihan Zhou 0001, Xiaolei Huang. 279-295 [doi]
- RBF-Softmax: Learning Deep Representative Prototypes with Radial Basis Function SoftmaxXiao Zhang, Rui Zhao, Yu Qiao, Hongsheng Li. 296-311 [doi]
- Testing the Safety of Self-driving Vehicles by Simulating Perception and PredictionKelvin Wong, Qiang Zhang, Ming Liang, Bin Yang, Renjie Liao, Abbas Sadat, Raquel Urtasun. 312-329 [doi]
- Determining the Relevance of Features for Deep Neural NetworksChristian Reimers, Jakob Runge, Joachim Denzler. 330-346 [doi]
- Weakly Supervised Semantic Segmentation with Boundary ExplorationLiyi Chen, Weiwei Wu, Chenchen Fu, Xiao Han, Yuntao Zhang. 347-362 [doi]
- GANHopper: Multi-hop GAN for Unsupervised Image-to-Image TranslationWallace P. Lira, Johannes Merz, Daniel Ritchie, Daniel Cohen-Or, Hao (Richard) Zhang. 363-379 [doi]
- DOPE: Distillation of Part Experts for Whole-Body 3D Pose Estimation in the WildPhilippe Weinzaepfel, Romain Brégier, Hadrien Combaluzier, Vincent Leroy 0003, Grégory Rogez. 380-397 [doi]
- Multi-view Adaptive Graph Convolutions for Graph ClassificationNikolas Adaloglou, Nicholas Vretos, Petros Daras. 398-414 [doi]
- Instance Adaptive Self-training for Unsupervised Domain AdaptationKe Mei, Chuang Zhu, Jiaqi Zou, Shanghang Zhang. 415-430 [doi]
- Weight Decay Scheduling and Knowledge Distillation for Active LearningJuseung Yun, Byungjoo Kim, Junmo Kim. 431-447 [doi]
- HMQ: Hardware Friendly Mixed Precision Quantization Block for CNNsHai Victor Habi, Roy H. Jennings, Arnon Netzer. 448-463 [doi]
- Truncated Inference for Latent Variable Optimization Problems: Application to Robust Estimation and LearningChristopher Zach, Huu Le. 464-480 [doi]
- Geometry Constrained Weakly Supervised Object LocalizationWeizeng Lu, Xi Jia, Weicheng Xie, LinLin Shen, Yicong Zhou, Jinming Duan 0001. 481-496 [doi]
- Duality Diagram Similarity: A Generic Framework for Initialization Selection in Task Transfer LearningKshitij Dwivedi, Jiahui Huang, Radoslaw Martin Cichy, Gemma Roig. 497-513 [doi]
- OneGAN: Simultaneous Unsupervised Learning of Conditional Image Generation, Foreground Segmentation, and Fine-Grained ClusteringYaniv Benny, Lior Wolf. 514-530 [doi]
- Mining Self-similarity: Label Super-Resolution with Epitomic RepresentationsNikolay Malkin, Anthony Ortiz, Nebojsa Jojic. 531-547 [doi]
- AE-OT-GAN: Training GANs from Data Specific Latent DistributionDongsheng An, Yang Guo, Min Zhang, Xin Qi, Na Lei, Xianfeng Gu. 548-564 [doi]
- Null-Sampling for Interpretable and Fair RepresentationsThomas Kehrenberg, Myles Bartlett, Oliver Thomas, Novi Quadrianto. 565-580 [doi]
- Guiding Monocular Depth Estimation Using Depth-Attention VolumeLam Huynh, Phong Nguyen-Ha, Jiri Matas, Esa Rahtu, Janne Heikkilä. 581-597 [doi]
- Tracking Emerges by Looking Around Static Scenes, with Neural 3D MappingAdam W. Harley, Shrinidhi Kowshika Lakshmikanth, Paul Schydlo, Katerina Fragkiadaki. 598-614 [doi]
- Boosting Weakly Supervised Object Detection with Progressive Knowledge TransferYuanyi Zhong, Jianfeng Wang, Jian Peng, Lei Zhang. 615-631 [doi]
- BézierSketch: A Generative Model for Scalable Vector SketchesAyan Das 0003, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song. 632-647 [doi]
- Semantic Relation Preserving Knowledge Distillation for Image-to-Image TranslationZeqi Li, Ruowei Jiang, Parham Aarabi. 648-663 [doi]
- Domain Adaptation Through Task DistillationBrady Zhou, Nimit Kalra, Philipp Krähenbühl. 664-680 [doi]
- PatchAttack: A Black-Box Texture-Based Attack with Reinforcement LearningChenglin Yang, Adam Kortylewski, Cihang Xie, Yinzhi Cao, Alan L. Yuille. 681-698 [doi]
- More Classifiers, Less Forgetting: A Generic Multi-classifier Paradigm for Incremental LearningYu Liu 0012, Sarah Parisot, Gregory G. Slabaugh, Xu Jia, Ales Leonardis, Tinne Tuytelaars. 699-716 [doi]
- Extending and Analyzing Self-supervised Learning Across DomainsBram Wallace, Bharath Hariharan. 717-734 [doi]
- Multi-source Open-Set Deep Adversarial Domain AdaptationSayan Rakshit, Dipesh Tamboli, Pragati Shuddhodhan Meshram, Biplab Banerjee, Gemma Roig, Subhasis Chaudhuri. 735-750 [doi]
- Neural Batch Sampling with Reinforcement Learning for Semi-supervised Anomaly DetectionWen-Hsuan Chu, Kris M. Kitani. 751-766 [doi]
- LEMMA: A Multi-view Dataset for LEarning Multi-agent Multi-task ActivitiesBaoxiong Jia, Yixin Chen, Siyuan Huang, Yixin Zhu, Song Chun Zhu. 767-786 [doi]