| 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 | 20573 | 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 | 15629 | 2018 |
| Rethinking atrous convolution for semantic image segmentation LC Chen, G Papandreou, F Schroff, H Adam arXiv preprint arXiv:1706.05587, 2017 | 10285 | 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 | 6049 | 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 | 1534 | 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 | 1051 | 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 | 726 | 2018 |
| Rethinking atrous convolution for semantic image segmentation. arXiv LC Chen, G Papandreou, F Schroff, H Adam arXiv preprint arXiv:1706.05587 5, 2017 | 550 | 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 | 541 | 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 | 479 | 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 | 460 | 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 | 425 | 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 | 237 | 2015 |
| Perturb-and-MAP Random Fields: Using Discrete Optimization to Learn and Sample from Energy Models G Papandreou, AL Yuille Proc. ICCV, 2011 | 219 | 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 | 211 | 2019 |
| 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 | 152 | 2009 |
| 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 | 145 | 2015 |
| Multigrid geometric active contour models G Papandreou, P Maragos IEEE transactions on image processing 16 (1), 229-240, 2006 | 131 | 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 | 101 | 2010 |
Liang-Chieh ChenResearch Scientist, ByteDance / TikTok, LA在 cs.ucla.edu 的电子邮件经过验证
