| Supervision exists everywhere: A data efficient contrastive language-image pre-training paradigm Y Li, F Liang, L Zhao, Y Cui, W Ouyang, J Shao, F Yu, J Yan International Conference on Learning Representations (ICLR 2022), 2021 | 315 | 2021 |
| SNCSE: Contrastive Learning for Unsupervised Sentence Embedding with Soft Negative Samples H Wang, Y Li, Z Huang, Y Dou, L Kong, J Shao https://arxiv.org/abs/2201.05979, 2022 | 30 | 2022 |
| Bevbert: Multimodal map pre-training for language-guided navigation D An, Y Qi, Y Li, Y Huang, L Wang, T Tan, J Shao International Conference on Computer Vision (ICCV 2023), 2023 | 29* | 2023 |
| Democratizing Contrastive Language-Image Pre-training: A CLIP Benchmark of Data, Model, and Supervision Y Cui, L Zhao, F Liang, Y Li, J Shao First Workshop on Pre-training (ICML 2022), 2022 | 29 | 2022 |
| Intern: A new learning paradigm towards general vision J Shao, S Chen, Y Li, K Wang, Z Yin, Y He, J Teng, Q Sun, M Gao, J Liu, ... arXiv preprint arXiv:2111.08687, 2021 | 28 | 2021 |
| Triplane meets gaussian splatting: Fast and generalizable single-view 3d reconstruction with transformers ZX Zou, Z Yu, YC Guo, Y Li, D Liang, YP Cao, SH Zhang Computer Vision and Pattern Recognition (CVPR 2024), 2023 | 24 | 2023 |
| Fast-BEV: A Fast and Strong Bird's-Eye View Perception Baseline Y Li, B Huang, Z Chen, Y Cui, F Liang, M Shen, F Liu, E Xie, L Sheng, ... arXiv preprint arXiv:2301.12511, 2023 | 21* | 2023 |
| Repre: Improving self-supervised vision transformer with reconstructive pre-training L Wang, F Liang, Y Li, W Ouyang, H Zhang, J Shao International Joint Conference on Artificial Intelligence (IJCAI 2022), 2022 | 19 | 2022 |
| Supmae: Supervised masked autoencoders are efficient vision learners F Liang, Y Li, D Marculescu Edge Intelligence Workshop (AAAI 2024), 2022 | 18 | 2022 |
| Text-to-3d with classifier score distillation X Yu, YC Guo, Y Li, D Liang, SH Zhang, X Qi International Conference on Learning Representations (ICLR 2024), 2023 | 16 | 2023 |
| Task-Balanced Distillation for Object Detection R Tang, Z Liu, Y Li, Y Song, H Liu, Q Wang, J Shao, G Duan, J Tan Pattern Recognition 2022, 2022 | 11 | 2022 |
| A Mixture of Surprises for Unsupervised Reinforcement Learning A Zhao, MG Lin, Y Li, YJ Liu, G Huang Advances in Neural Information Processing Systems (NeurIPS 2022), 2022 | 9 | 2022 |
| 1st Place Solutions for RxR-Habitat Vision-and-Language Navigation Competition (CVPR 2022) D An, Z Wang, Y Li, Y Wang, Y Hong, Y Huang, L Wang, J Shao Winner of the RxR-Habitat Competition (CVPR 2022), 2022 | 9 | 2022 |
| UniDream: Unifying Diffusion Priors for Relightable Text-to-3D Generation Z Liu, Y Li, Y Lin, X Yu, S Peng, YP Cao, X Qi, X Huang, D Liang, ... arXiv preprint arXiv:2312.08754, 2023 | 6 | 2023 |
| Parallel reasoning network for human-object interaction detection H Peng, F Liu, Y Li, B Huang, J Shao, N Sang, C Gao arXiv preprint arXiv:2301.03510, 2023 | 6 | 2023 |
| Towards Accurate Binary Neural Networks via Modeling Contextual Dependencies X Xing, Y Li, W Li, W Ding, Y Jiang, Y Wang, J Shao, C Liu, X Liu European Conference on Computer Vision (ECCV 2022), 536-552, 2022 | 6 | 2022 |
| TripoSR: Fast 3D Object Reconstruction from a Single Image D Tochilkin, D Pankratz, Z Liu, Z Huang, A Letts, Y Li, D Liang, C Laforte, ... arXiv preprint arXiv:2403.02151, 2024 | 5 | 2024 |
| Unig3d: A unified 3d object generation dataset Q Sun, Y Li, ZX Liu, X Huang, F Liu, X Liu, W Ouyang, J Shao arXiv preprint arXiv:2306.10730, 2023 | 4 | 2023 |
| GVGEN: Text-to-3D Generation with Volumetric Representation X He, J Chen, S Peng, D Huang, Y Li, X Huang, C Yuan, W Ouyang, T He arXiv preprint arXiv:2403.12957, 2024 | 2 | 2024 |
| EpiDiff: Enhancing Multi-View Synthesis via Localized Epipolar-Constrained Diffusion Z Huang, H Wen, J Dong, Y Wang, Y Li, X Chen, YP Cao, D Liang, Y Qiao, ... Computer Vision and Pattern Recognition (CVPR 2024), 2023 | 2 | 2023 |
Feng (Jeff) LiangPhD Student, The University of Texas at AustinVerified email at utexas.edu
