| Mobilenets: Efficient convolutional neural networks for mobile vision applications AG Howard, M Zhu, B Chen, D Kalenichenko, W Wang, T Weyand, ... arXiv preprint arXiv:1704.04861, 2017 | 25399 | 2017 |
| 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 | 15257 | 2018 |
| Rethinking atrous convolution for semantic image segmentation LC Chen, G Papandreou, F Schroff, H Adam arXiv preprint arXiv:1706.05587, 2017 | 10199 | 2017 |
| 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 | 7549 | 2019 |
| Quantization and training of neural networks for efficient integer-arithmetic-only inference B Jacob, S Kligys, B Chen, M Zhu, M Tang, A Howard, H Adam, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 3262 | 2018 |
| The iNaturalist Species Classification and Detection Dataset G Van Horn, O Mac Aodha, Y Song, Y Cui, C Sun, A Shepard, H Adam, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 1548* | 2018 |
| 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 | 1170 | 2019 |
| Axial-deeplab: Stand-alone axial-attention for panoptic segmentation H Wang, Y Zhu, B Green, H Adam, A Yuille, LC Chen Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 747 | 2020 |
| 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 Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 689 | 2020 |
| Netadapt: Platform-aware neural network adaptation for mobile applications TJ Yang, A Howard, B Chen, X Zhang, A Go, M Sandler, V Sze, H Adam Proceedings of the European Conference on Computer Vision (ECCV), 285-300, 2018 | 676 | 2018 |
| Mobilenets: Effificient convolutional neural networks for mobile vision applications. arXiv 2017 AG Howard, M Zhu, B Chen, D Kalenichenko, W Wang, T Weyand, ... arXiv preprint arXiv:1704.04861, 0 | 623 | |
| Large-scale object classification using label relation graphs J Deng, N Ding, Y Jia, A Frome, K Murphy, S Bengio, Y Li, H Neven, ... Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 545 | 2014 |
| Max-deeplab: End-to-end panoptic segmentation with mask transformers H Wang, Y Zhu, H Adam, A Yuille, LC Chen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 538 | 2021 |
| Tour the world: building a web-scale landmark recognition engine YT Zheng, M Zhao, Y Song, H Adam, U Buddemeier, A Bissacco, ... 2009 IEEE Conference on Computer Vision and Pattern Recognition, 1085-1092, 2009 | 502 | 2009 |
| 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, 8713-8724, 2018 | 479 | 2018 |
| 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 | 475 | 2019 |
| 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 | 459 | 2018 |
| Large-scale privacy protection in google street view A Frome, G Cheung, A Abdulkader, M Zennaro, B Wu, A Bissacco, ... 2009 IEEE 12th international conference on computer vision, 2373-2380, 2009 | 351 | 2009 |
| Facial recognition with social network aiding D Petrou, A Rabinovich, H Adam US Patent 8,670,597, 2014 | 273 | 2014 |
| Image based multi-biometric system and method H Adam, H Neven, JB Steffens US Patent 7,697,735, 2010 | 248 | 2010 |
Liang-Chieh ChenResearch Scientist, ByteDance / TikTok, LA在 cs.ucla.edu 的电子邮件经过验证
