| 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 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 12475-12485, 2020 | 855 | 2020 |
| Weakly supervised action localization by sparse temporal pooling network P Nguyen*, T Liu*, G Prasad, B Han IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 6752-6761, 2018 | 454 | 2018 |
| Crowdsourcing the creation of image segmentation algorithms for connectomics I Arganda-Carreras, SC Turaga, DR Berger, D Cireşan, A Giusti, ... Frontiers in Neuroanatomy 9, 2015 | 406 | 2015 |
| 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 | 234 | 2019 |
| Maximum-entropy adversarial data augmentation for improved generalization and robustness L Zhao, T Liu, X Peng, DN Metaxas Advances in Neural Information Processing Systems (NeurIPS), 2020 | 226 | 2020 |
| Surrogate gap minimization improves sharpness-aware training J Zhuang, B Gong, L Yuan, Y Cui, H Adam, NC Dvornek, S Tatikonda, ... International Conference on Learning Representations (ICLR), 2022 | 212 | 2022 |
| View-invariant probabilistic embedding for human pose JJ Sun, J Zhao, LC Chen, F Schroff, H Adam, T Liu European Conference on Computer Vision (ECCV), 53-70, 2020 | 100 | 2020 |
| A modular hierarchical approach to 3D electron microscopy image segmentation T Liu, C Jones, M Seyedhosseini, T Tasdizen Journal of Neuroscience Methods 226, 88-102, 2014 | 83 | 2014 |
| Image segmentation using hierarchical merge tree T Liu, M Seyedhosseini, T Tasdizen IEEE Transactions on Image Processing 25 (10), 4596-4607, 2016 | 65 | 2016 |
| Watershed merge tree classification for electron microscopy image segmentation T Liu, E Jurrus, M Seyedhosseini, M Ellisman, T Tasdizen IEEE International Conference on Pattern Recognition (ICPR), 133-137, 2012 | 61 | 2012 |
| Multi-modal 3D human pose estimation with 2D weak supervision in autonomous driving J Zheng, X Shi, A Gorban, J Mao, Y Song, CR Qi, T Liu, V Chari, ... IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW …, 2022 | 56 | 2022 |
| VideoPrism: A foundational visual encoder for video understanding L Zhao*, NB Gundavarapu*, L Yuan*, H Zhou*, S Yan**, JJ Sun**, ... International Conference on Machine Learning (ICML), 2024 | 50 | 2024 |
| Learning view-disentangled human pose representation by contrastive cross-view mutual information maximization L Zhao, Y Wang, J Zhao, L Yuan, JJ Sun, F Schroff, H Adam, X Peng, ... IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021 | 43 | 2021 |
| COMPOSER: Compositional reasoning of group activity in videos with keypoint-only modality H Zhou, A Kadav, A Shamsian, S Geng, F Lai, L Zhao, T Liu, M Kapadia, ... European Conference on Computer Vision (ECCV), 2022 | 42 | 2022 |
| Steering prototype with prompt-tuning for rehearsal-free continual learning Z Li, L Zhao, Z Zhang, H Zhang, D Liu, T Liu, DN Metaxas IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024 | 39 | 2024 |
| Learning to generate image embeddings with user-level differential privacy Z Xu*, MD Collins*, Y Wang, L Panait, S Oh, S Augenstein, T Liu, F Schroff, ... IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023 | 34 | 2023 |
| Unsupervised total variation loss for semi-supervised deep learning of semantic segmentation M Javanmardi, M Sajjadi, T Liu, T Tasdizen arXiv preprint arXiv:1605.01368, 2016 | 32 | 2016 |
| Contextualized spatio-temporal contrastive learning with self-supervision L Yuan, R Qian, Y Cui, B Gong, F Schroff, MH Yang, H Adam, T Liu IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 30 | 2022 |
| Particle swarm optimization in solving vehicle routing problem H Shen, Y Zhu, T Liu, L Jin IEEE International Conference on Intelligent Computation Technology and …, 2009 | 29 | 2009 |
| Distilling vision-language models on millions of videos Y Zhao, L Zhao, X Zhou, J Wu, CT Chu, H Miao, F Schroff, H Adam, T Liu, ... IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024 | 23 | 2024 |
Hartwig AdamSr. Director of Research, Google DeepMindVerified email at google.com
Long ZhaoResearch Scientist, Google DeepMindVerified email at google.com
Liangzhe YuanGoogle DeepMindVerified email at google.com
Tolga TasdizenUniversity of UtahVerified email at sci.utah.edu
Florian SchroffGoogle Inc.Verified email at google.com
Boqing GongBoston University, GoogleVerified email at bu.edu
Mojtaba SeyedhosseiniGoogleVerified email at google.com
Liang-Chieh ChenSenior Principal Scientist, Amazon FAR, LAVerified email at cs.ucla.edu
Jennifer J. SunAssistant professor at Cornell CSVerified email at cornell.edu
Gautam PrasadGoogleVerified email at google.com
Maxwell D. CollinsTetraMem Inc.Verified email at tetramem.com
Dimitris N. MetaxasBoard of Governors and Distinguished Professor of Computer Science, Rutgers UniversityVerified email at cs.rutgers.edu
Yin CuiResearch Scientist, NVIDIAVerified email at nvidia.com
Ming-Hsuan YangUniversity of California at Merced; Google DeepMindVerified email at ucmerced.edu
Bohyung HanProfessor, Electrical and Computer Engineering, Seoul National UniversityVerified email at snu.ac.kr
Xi PengAssociate Professor, Computer Science, University of DelawareVerified email at udel.edu
Bowen ChengUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
Hao ZhouGoogle DeepMindVerified email at google.com