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Kai Zhu 0004
Person information
- affiliation: University of Science and Technology of China, Hefei, China
Other persons with the same name
- Kai Zhu — disambiguation page
- Kai Zhu 0001 — Actel Corporation, Mountain View, CA, USA (and 4 more)
- Kai Zhu 0002 — Arizona State University, School of Electrical, Computer and Energy Engineering, Tempe, AZ, USA
- Kai Zhu 0003
— McGill University, Montreal, QC, Canada (and 1 more)
- Kai Zhu 0005
- Kai Zhu 0006
- Kai Zhu 0007
- Kai Zhu 0008
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2020 – today
- 2024
- [j4]Wei Zhai, Pingyu Wu, Kai Zhu, Yang Cao
Background Activation Suppression for Weakly Supervised Object Localization and Semantic Segmentation. Int. J. Comput. Vis. 132(3): 750-775 (2024) - [j3]Qianzi Yu
Incremental Object Detection With Image-Level Labels. IEEE Trans. Artif. Intell. 5(5): 2331-2341 (2024) - [j2]Qianzi Yu, Kai Zhu, Yang Cao, Feijie Xia, Yu Kang:
TF²: Few-Shot Text-Free Training-Free Defect Image Generation for Industrial Anomaly Inspection. IEEE Trans. Circuits Syst. Video Technol. 34(11): 11825-11837 (2024) - [c17]Sen Liang, Kai Zhu, Wei Zhai, Zhiheng Liu, Yang Cao:
Hypercorrelation Evolution for Video Class-Incremental Learning. AAAI 2024: 3315-3323 - [c16]Jie Xiao, Xueyang Fu, Yurui Zhu, Dong Li, Jie Huang, Kai Zhu, Zheng-Jun Zha:
HomoFormer: Homogenized Transformer for Image Shadow Removal. CVPR 2024: 25617-25626 - [c15]Jie Xiao, Ruili Feng, Han Zhang, Zhiheng Liu, Zhantao Yang, Yurui Zhu, Xueyang Fu, Kai Zhu, Yu Liu, Zheng-Jun Zha:
DreamClean: Restoring Clean Image Using Deep Diffusion Prior. ICLR 2024 - [c14]Zhantao Yang, Ruili Feng, Han Zhang, Yujun Shen, Kai Zhu, Lianghua Huang, Yifei Zhang, Yu Liu, Deli Zhao, Jingren Zhou, Fan Cheng:
Lipschitz Singularities in Diffusion Models. ICLR 2024 - [c13]Jie Xiao, Kai Zhu, Han Zhang, Zhiheng Liu, Yujun Shen, Zhantao Yang, Ruili Feng, Yu Liu, Xueyang Fu, Zheng-Jun Zha:
CCM: Real-Time Controllable Visual Content Creation Using Text-to-Image Consistency Models. ICML 2024 - [i19]Hongchen Luo, Kai Zhu, Wei Zhai, Yang Cao:
Intention-driven Ego-to-Exo Video Generation. CoRR abs/2403.09194 (2024) - [i18]Zhiheng Liu, Hao Ouyang, Qiuyu Wang, Ka Leong Cheng, Jie Xiao, Kai Zhu, Nan Xue, Yu Liu, Yujun Shen, Yang Cao:
InFusion: Inpainting 3D Gaussians via Learning Depth Completion from Diffusion Prior. CoRR abs/2404.11613 (2024) - [i17]Zixun Fang, Wei Zhai, Aimin Su, Hongliang Song, Kai Zhu, Mao Wang, Yu Chen, Zhiheng Liu, Yang Cao, Zheng-Jun Zha:
ViViD: Video Virtual Try-on using Diffusion Models. CoRR abs/2405.11794 (2024) - [i16]Zhantao Yang, Ruili Feng, Keyu Yan, Huangji Wang, Zhicai Wang, Shangwen Zhu, Han Zhang, Jie Xiao, Pingyu Wu, Kai Zhu, Jixuan Chen, Chen-Wei Xie, Chaojie Mao, Yue Yang, Hongyang Zhang, Yu Liu, Fan Cheng:
BACON: Supercharge Your VLM with Bag-of-Concept Graph to Mitigate Hallucinations. CoRR abs/2407.03314 (2024) - [i15]Pingyu Wu, Kai Zhu, Yu Liu, Liming Zhao, Wei Zhai, Yang Cao, Zheng-Jun Zha:
Improved Video VAE for Latent Video Diffusion Model. CoRR abs/2411.06449 (2024) - 2023
- [c12]Fan Lu, Kai Zhu, Wei Zhai, Kecheng Zheng, Yang Cao:
Uncertainty-Aware Optimal Transport for Semantically Coherent Out-of-Distribution Detection. CVPR 2023: 3282-3291 - [c11]Ruili Feng, Kecheng Zheng, Kai Zhu, Yujun Shen, Jian Zhao, Yukun Huang, Deli Zhao, Jingren Zhou, Michael I. Jordan, Zheng-Jun Zha:
Neural Dependencies Emerging from Learning Massive Categories. CVPR 2023: 11711-11720 - [c10]Kecheng Zheng, Wei Wu, Ruili Feng, Kai Zhu, Jiawei Liu, Deli Zhao, Zheng-Jun Zha, Wei Chen, Yujun Shen:
Regularized Mask Tuning: Uncovering Hidden Knowledge in Pre-trained Vision-Language Models. ICCV 2023: 11629-11639 - [c9]Kai Zhu, Kecheng Zheng, Ruili Feng, Deli Zhao, Yang Cao, Zheng-Jun Zha:
Self-Organizing Pathway Expansion for Non-Exemplar Class-Incremental Learning. ICCV 2023: 19147-19156 - [c8]Zhiheng Liu, Ruili Feng, Kai Zhu, Yifei Zhang, Kecheng Zheng, Yu Liu, Deli Zhao, Jingren Zhou, Yang Cao:
Cones: Concept Neurons in Diffusion Models for Customized Generation. ICML 2023: 21548-21566 - [c7]Zhiheng Liu, Yifei Zhang, Yujun Shen, Kecheng Zheng, Kai Zhu, Ruili Feng, Yu Liu, Deli Zhao, Jingren Zhou, Yang Cao:
Customizable Image Synthesis with Multiple Subjects. NeurIPS 2023 - [i14]Zhiheng Liu, Ruili Feng, Kai Zhu, Yifei Zhang, Kecheng Zheng, Yu Liu, Deli Zhao, Jingren Zhou, Yang Cao:
Cones: Concept Neurons in Diffusion Models for Customized Generation. CoRR abs/2303.05125 (2023) - [i13]Fan Lu, Kai Zhu, Wei Zhai, Kecheng Zheng, Yang Cao:
Uncertainty-Aware Optimal Transport for Semantically Coherent Out-of-Distribution Detection. CoRR abs/2303.10449 (2023) - [i12]Zhiheng Liu, Yifei Zhang, Yujun Shen, Kecheng Zheng, Kai Zhu, Ruili Feng, Yu Liu, Deli Zhao, Jingren Zhou, Yang Cao:
Cones 2: Customizable Image Synthesis with Multiple Subjects. CoRR abs/2305.19327 (2023) - [i11]Zhantao Yang, Ruili Feng, Han Zhang, Yujun Shen, Kai Zhu, Lianghua Huang, Yifei Zhang, Yu Liu, Deli Zhao, Jingren Zhou, Fan Cheng:
Eliminating Lipschitz Singularities in Diffusion Models. CoRR abs/2306.11251 (2023) - [i10]Kecheng Zheng, Wei Wu, Ruili Feng, Kai Zhu, Jiawei Liu, Deli Zhao, Zheng-Jun Zha, Wei Chen, Yujun Shen:
Regularized Mask Tuning: Uncovering Hidden Knowledge in Pre-trained Vision-Language Models. CoRR abs/2307.15049 (2023) - [i9]Wei Zhai, Pingyu Wu, Kai Zhu, Yang Cao, Feng Wu, Zheng-Jun Zha:
Background Activation Suppression for Weakly Supervised Object Localization and Semantic Segmentation. CoRR abs/2309.12943 (2023) - [i8]Fan Lu, Kai Zhu, Kecheng Zheng, Wei Zhai, Yang Cao:
Likelihood-Aware Semantic Alignment for Full-Spectrum Out-of-Distribution Detection. CoRR abs/2312.01732 (2023) - [i7]Jie Xiao, Kai Zhu, Han Zhang, Zhiheng Liu, Yujun Shen, Yu Liu, Xueyang Fu, Zheng-Jun Zha:
CCM: Adding Conditional Controls to Text-to-Image Consistency Models. CoRR abs/2312.06971 (2023) - 2022
- [c6]Kai Zhu, Wei Zhai, Yang Cao, Jiebo Luo
Self-Sustaining Representation Expansion for Non-Exemplar Class-Incremental Learning. CVPR 2022: 9286-9295 - [c5]Ruijing Zhao, Kai Zhu, Yang Cao, Zheng-Jun Zha:
AS-Net: Class-Aware Assistance and Suppression Network for Few-Shot Learning. MMM (2) 2022: 27-39 - [c4]Jian Yang, Kai Zhu, Kecheng Zheng, Yang Cao:
Uncertainty-Aware Hierarchical Refinement for Incremental Implicitly-Refined Classification. NeurIPS 2022 - [i6]Kai Zhu, Wei Zhai, Yang Cao, Jiebo Luo
Self-Sustaining Representation Expansion for Non-Exemplar Class-Incremental Learning. CoRR abs/2203.06359 (2022) - [i5]Kecheng Zheng, Yang Cao, Kai Zhu, Ruijing Zhao, Zheng-Jun Zha:
FAMLP: A Frequency-Aware MLP-Like Architecture For Domain Generalization. CoRR abs/2203.12893 (2022) - [i4]Ruili Feng, Kecheng Zheng, Kai Zhu, Yujun Shen, Jian Zhao, Yukun Huang, Deli Zhao, Jingren Zhou, Michael I. Jordan, Zheng-Jun Zha:
Neural Dependencies Emerging from Learning Massive Categories. CoRR abs/2211.12339 (2022) - 2021
- [j1]Kai Zhu
One-Shot Texture Retrieval Using Global Grouping Metric. IEEE Trans. Multim. 23: 3726-3737 (2021) - [c3]Kai Zhu, Yang Cao, Wei Zhai, Jie Cheng, Zheng-Jun Zha:
Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning. CVPR 2021: 6801-6810 - [i3]Kai Zhu
Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning. CoRR abs/2107.08918 (2021) - 2020
- [c2]Kai Zhu, Wei Zhai, Yang Cao:
Self-Supervised Tuning for Few-Shot Segmentation. IJCAI 2020: 1019-1025 - [i2]Kai Zhu
Self-Supervised Tuning for Few-Shot Segmentation. CoRR abs/2004.05538 (2020)
2010 – 2019
- 2019
- [c1]Kai Zhu, Wei Zhai, Zheng-Jun Zha, Yang Cao:
One-Shot Texture Retrieval with Global Context Metric. IJCAI 2019: 4461-4467 - [i1]Kai Zhu
One-Shot Texture Retrieval with Global Context Metric. CoRR abs/1905.06656 (2019)
Coauthor Index
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