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Kai Hu
Kai Hu
Bestätigte E-Mail-Adresse bei andrew.cmu.edu
Titel
Zitiert von
Zitiert von
Jahr
OpenMMLab’s Next Generation Video Understanding Toolbox and Benchmark. 2020
M Contributors
2102023
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
732021
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
722020
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
542023
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
62023
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
52024
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
32024
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