OpenMMLab’s Next Generation Video Understanding Toolbox and Benchmark. 2020 M Contributors | 210 | 2023 |
Contrast and order representations for video self-supervised learning K Hu, J Shao, Y Liu, B Raj, M Savvides, Z Shen Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 73 | 2021 |
Is normalization indispensable for training deep neural network? J Shao, K Hu, C Wang, X Xue, B Raj Advances in Neural Information Processing Systems 33, 13434-13444, 2020 | 72 | 2020 |
Enhanced training of query-based object detection via selective query recollection F Chen, H Zhang, K Hu, YK Huang, C Zhu, M Savvides Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 54 | 2023 |
Unlocking Deterministic Robustness Certification on ImageNet K Hu, A Zou, Z Wang, K Leino, M Fredrikson Thirty-seventh Conference on Neural Information Processing Systems, 2023 | 19* | 2023 |
A Recipe for Improved Certifiable Robustness K Hu, K Leino, Z Wang, M Fredrikson The Twelfth International Conference on Learning Representations, 2024 | 11* | 2024 |
Completing visual objects via bridging generation and segmentation X Li, Y Chen, CC Lin, H Chen, K Hu, R Singh, B Raj, L Wang, Z Liu arXiv preprint arXiv:2310.00808, 2023 | 6 | 2023 |
Efficient LLM Jailbreak via Adaptive Dense-to-sparse Constrained Optimization K Hu, W Yu, T Yao, X Li, W Liu, L Yu, Y Li, K Chen, Z Shen, M Fredrikson arXiv preprint arXiv:2405.09113, 2024 | 5 | 2024 |
Slight Corruption in Pre-training Data Makes Better Diffusion Models H Chen, Y Han, D Misra, X Li, K Hu, D Zou, M Sugiyama, J Wang, B Raj arXiv preprint arXiv:2405.20494, 2024 | 3 | 2024 |