| 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 | 12284 | 2018 |
| Mobilenetv2: Inverted residuals and linear bottlenecks M Sandler, A Howard, M Zhu, A Zhmoginov, LC Chen Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 10731 | 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 | 7306 | 2018 |
| Rethinking atrous convolution for semantic image segmentation LC Chen, G Papandreou, F Schroff, H Adam arXiv preprint arXiv:1706.05587, 2017 | 5416 | 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 | 4512 | 2014 |
| Searching for mobilenetv3 A Howard, M Sandler, G Chu, LC Chen, B Chen, M Tan, W Wang, Y Zhu, ... Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 2507 | 2019 |
| Attention to scale: Scale-aware semantic image segmentation LC Chen, Y Yang, J Wang, W Xu, AL Yuille Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 1234 | 2016 |
| 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 | 1218 | 2015 |
| Auto-deeplab: Hierarchical neural architecture search for semantic image segmentation C Liu, LC Chen, F Schroff, H Adam, W Hua, AL Yuille, L Fei-Fei Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 779 | 2019 |
| Inverted residuals and linear bottlenecks: Mobile networks for classification, detection and segmentation A Howard, A Zhmoginov, LC Chen, M Sandler, M Zhu | 753* | 2018 |
| 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 | 453 | 2018 |
| 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 | 350 | 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 | 343 | 2016 |
| 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 | 312 | 2018 |
| Abc-cnn: An attention based convolutional neural network for visual question answering K Chen, J Wang, LC Chen, H Gao, W Xu, R Nevatia arXiv preprint arXiv:1511.05960, 2015 | 311 | 2015 |
| Detectors: Detecting objects with recursive feature pyramid and switchable atrous convolution S Qiao, LC Chen, A Yuille Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 301 | 2021 |
| Axial-deeplab: Stand-alone axial-attention for panoptic segmentation H Wang, Y Zhu, B Green, H Adam, A Yuille, LC Chen European Conference on Computer Vision, 108-126, 2020 | 295 | 2020 |
| Learning deep structured models LC Chen, A Schwing, A Yuille, R Urtasun International Conference on Machine Learning, 1785-1794, 2015 | 279 | 2015 |
| Feelvos: Fast end-to-end embedding learning for video object segmentation P Voigtlaender, Y Chai, F Schroff, H Adam, B Leibe, LC Chen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 276 | 2019 |
| Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation B Cheng, MD Collins, Y Zhu, T Liu, TS Huang, H Adam, LC Chen arXiv preprint arXiv:1911.10194, 2019 | 267 | 2019 |
George PapandreouNTUA > UCLA > TTIC > Google > Ariel AI > SnapVerified email at arielai.com
