| 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 | 8144 | 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 | 3750 | 2018 |
| 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 | 3370 | 2014 |
| Rethinking atrous convolution for semantic image segmentation LC Chen, G Papandreou, F Schroff, H Adam arXiv preprint arXiv:1706.05587, 2017 | 2811 | 2017 |
| 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 | 980 | 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 | 481 | 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 | 313 | 2015 |
| 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 | 281 | 2016 |
| 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 | 243 | 2018 |
| Searching for efficient multi-scale architectures for dense image prediction LC Chen, MD Collins, Y Zhu, G Papandreou, B Zoph, F Schroff, H Adam, ... arXiv preprint arXiv:1809.04184, 2018 | 241 | 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 | 221 | 2018 |
| Rethinking atrous convolution for semantic image segmentation. arXiv 2017 LC Chen, G Papandreou, F Schroff, H Adam arXiv preprint arXiv:1706.05587, 2019 | 208 | 2019 |
| Perturb-and-MAP Random Fields: Using Discrete Optimization to Learn and Sample from Energy Models G Papandreou, AL Yuille Proc. ICCV, 2011 | 169 | 2011 |
| 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 | 164 | 2015 |
| Multigrid geometric active contour models G Papandreou, P Maragos IEEE transactions on image processing 16 (1), 229-240, 2006 | 125 | 2006 |
| 11 adversarial perturbations of deep neural networks D Warde-Farley, I Goodfellow Perturbations, Optimization, and Statistics 311, 2016 | 121 | 2016 |
| 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 | 118 | 2009 |
| 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 | 100 | 2008 |
| Bayesian inference on multiscale models for Poisson intensity estimation: Applications to photon-limited image denoising S Lefkimmiatis, P Maragos, G Papandreou Image Processing, IEEE Transactions on 18 (8), 1724-1741, 2009 | 90 | 2009 |
| Gaussian sampling by local perturbations G Papandreou, AL Yuille Advances in Neural Information Processing Systems 23, 1858-1866, 2010 | 80 | 2010 |
Liang-Chieh (Jay) ChenResearch Scientist, Google LAVerified email at cs.ucla.edu
