| Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs LC Chen, G Papandreou, I Kokkinos, K Murphy, AL Yuille IEEE transactions on pattern analysis and machine intelligence 40 (4), 834-848, 2018 | 22523 | 2018 |
| Encoder-decoder with atrous separable convolution for semantic image segmentation LC Chen, Y Zhu, G Papandreou, F Schroff, H Adam Proceedings of the European conference on computer vision (ECCV), 801-818, 2018 | 17872 | 2018 |
| Rethinking atrous convolution for semantic image segmentation LC Chen arXiv preprint arXiv:1706.05587, 2017 | 11470 | 2017 |
| Semantic image segmentation with deep convolutional nets and fully connected crfs LC Chen, G Papandreou, I Kokkinos, K Murphy, AL Yuille arXiv preprint arXiv:1412.7062, 2014 | 6422 | 2014 |
| Weakly-and semi-supervised learning of a deep convolutional network for semantic image segmentation G Papandreou, LC Chen, KP Murphy, AL Yuille Proceedings of the IEEE international conference on computer vision, 1742-1750, 2015 | 1578 | 2015 |
| Towards accurate multi-person pose estimation in the wild G Papandreou, T Zhu, N Kanazawa, A Toshev, J Tompson, C Bregler, ... Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 1104 | 2017 |
| Personlab: Person pose estimation and instance segmentation with a bottom-up, part-based, geometric embedding model G Papandreou, T Zhu, LC Chen, S Gidaris, J Tompson, K Murphy Proceedings of the European conference on computer vision (ECCV), 269-286, 2018 | 777 | 2018 |
| Rethinking atrous convolution for semantic image segmentation. arXiv LC Chen, G Papandreou, F Schroff, H Adam arXiv preprint arXiv:1706.05587 5, 2017 | 649 | 2017 |
| Im2Calories: towards an automated mobile vision food diary A Meyers, N Johnston, V Rathod, A Korattikara, A Gorban, N Silberman, ... Proceedings of the IEEE international conference on computer vision, 1233-1241, 2015 | 573 | 2015 |
| Searching for efficient multi-scale architectures for dense image prediction LC Chen, M Collins, Y Zhu, G Papandreou, B Zoph, F Schroff, H Adam, ... Advances in neural information processing systems 31, 2018 | 496 | 2018 |
| Masklab: Instance segmentation by refining object detection with semantic and direction features LC Chen, A Hermans, G Papandreou, F Schroff, P Wang, H Adam Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 480 | 2018 |
| Semantic image segmentation with task-specific edge detection using cnns and a discriminatively trained domain transform LC Chen, JT Barron, G Papandreou, K Murphy, AL Yuille Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 447 | 2016 |
| Modeling local and global deformations in deep learning: Epitomic convolution, multiple instance learning, and sliding window detection G Papandreou, I Kokkinos, PA Savalle Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 240 | 2015 |
| Perturb-and-MAP Random Fields: Using Discrete Optimization to Learn and Sample from Energy Models G Papandreou, AL Yuille Proc. ICCV, 2011 | 224 | 2011 |
| Deeperlab: Single-shot image parser TJ Yang, MD Collins, Y Zhu, JJ Hwang, T Liu, X Zhang, V Sze, ... arXiv preprint arXiv:1902.05093, 2019 | 220 | 2019 |
| Semantic image segmentation with deep convolutional nets and fully connected crfs C Liang-Chieh, G Papandreou, I Kokkinos, K Murphy, A Yuille International conference on learning representations, 2015 | 174 | 2015 |
| Adaptive multimodal fusion by uncertainty compensation with application to audiovisual speech recognition G Papandreou, A Katsamanis, V Pitsikalis, P Maragos IEEE Transactions on Audio, Speech, and Language Processing 17 (3), 423-435, 2009 | 155 | 2009 |
| Multigrid geometric active contour models G Papandreou, P Maragos IEEE transactions on image processing 16 (1), 229-240, 2006 | 134 | 2006 |
| Adaptive and constrained algorithms for inverse compositional active appearance model fitting G Papandreou, P Maragos Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on …, 2008 | 105 | 2008 |
| Gaussian sampling by local perturbations G Papandreou, AL Yuille Advances in Neural Information Processing Systems 23, 2010 | 102 | 2010 |
Liang-Chieh ChenResearch Scientist, TikTok, LAVerified email at cs.ucla.edu
Alan YuilleProfessor of Cognitive Science and Computer Science, Johns Hopkins UniversityVerified email at jhu.edu
Iasonas KokkinosSnap Inc., University College LondonVerified email at snapchat.com
Florian SchroffGoogle Inc.Verified email at google.com
Kevin MurphyResearch Scientist, GoogleVerified email at google.com
Yukun ZhuGoogleVerified email at google.com
Petros MaragosProfessor of Electrical and Computer Engineering, National Technical University of AthensVerified email at cs.ntua.gr
Athanasios KatsamanisPrincipal Researcher, ILSP, Athena Research Center and CTO, Behavioral SignalsVerified email at athenarc.gr
Maxwell D. CollinsTetraMem Inc.Verified email at tetramem.com
Jonathan TompsonGoogleVerified email at google.com
Tyler Lixuan ZhuGoogleVerified email at google.com
Alexander ToshevApple IncVerified email at apple.com
Alexander HermansRWTH Aachen UniversityVerified email at vision.rwth-aachen.de
Peng WangUniversity of California, Los Angeles / Bytedance, IncVerified email at ucla.edu