| 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 | 28577 | 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 | 17872 | 2018 |
| Rethinking atrous convolution for semantic image segmentation LC Chen, G Papandreou, F Schroff, H Adam arXiv preprint arXiv:1706.05587, 2017 | 11470 | 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 | 9456 | 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 | 3862 | 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 | 1869* | 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 | 1237 | 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 | 863 | 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 | 764 | 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 | 740 | 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 | 713 | |
| 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 | 608 | 2021 |
| 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 | 564 | 2014 |
| 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 | 516 | 2019 |
| 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 | 510 | 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 | 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 |
| 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 | 381 | 2009 |
| Facial recognition with social network aiding D Petrou, A Rabinovich, H Adam US Patent 8,670,597, 2014 | 278 | 2014 |
| Image based multi-biometric system and method H Adam, H Neven, JB Steffens US Patent 7,697,735, 2010 | 253 | 2010 |
Liang-Chieh ChenResearch Scientist, TikTok, LAVerified email at cs.ucla.edu
Yukun ZhuGoogleVerified email at google.com
Florian SchroffGoogle Inc.Verified email at google.com
Hartmut NevenVP Engineering, Quantum AI, GoogleVerified email at google.com
Andrew HowardGoogle ResearchVerified email at google.com
Bo ChenGoogle. Inc / CaltechVerified email at google.com
George PapandreouNTUA > UCLA > TTIC > Google > Ariel AI > SnapVerified email at arielai.com
Alan YuilleProfessor of Cognitive Science and Computer Science, Johns Hopkins UniversityVerified email at jhu.edu
Yang SongGoogle Inc.Verified email at google.com
Ting LiuGoogle DeepMindVerified email at google.com
Maxwell D. CollinsTetraMem Inc.Verified email at tetramem.com
Yin CuiResearch Scientist, NVIDIAVerified email at nvidia.com
Serge BelongieUniversity of CopenhagenVerified email at di.ku.dk
Huiyu WangResearch Scientist, FAIR, MetaVerified email at fb.com
Mark SandlerGoogleVerified email at google.com
Xiaoyu (Grace) ChuStaff Software Engineer at Google ResearchVerified email at google.com
Quoc V. LeResearch Scientist, GoogleVerified email at stanford.edu
Grant Van HornUMass, AmherstVerified email at umass.edu