| 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 | 748 | 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 | 441 | 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 | 397 | 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 | 223 | 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 | 207 | 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 | 179 | 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 | 92 | 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 | 80 | 2014 |
| Panoptic-DeepLab B Cheng, MD Collins, Y Zhu, T Liu, TS Huang, H Adam, LC Chen ICCV 2019 Joint COCO and Mapillary Recognition Challenge Workshop, 2019 | 73 | 2019 |
| 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 | 51 | 2022 |
| 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 | 39 | 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 | 36 | 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 | 32 | 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 | 28 | 2023 |
| 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 | 28 | 2022 |
| 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 | 27 | 2016 |
| 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 | 26 | 2024 |
| 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 | 26 | 2009 |
Hartwig AdamSr. Director of Research, Google DeepMindE-mail megerősítve itt: google.com