Kai Zhu

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 31

Top Topics

Incremental Learning

Diffusion Models

Hidden Knowledge

Top Venues

Publications

Hongchen Luo, Kai Zhu, Wei Zhai, Yang Cao
Intention-driven Ego-to-Exo Video Generation. CoRR (2024)
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 (2024)
Wei Zhai, Pingyu Wu, Kai Zhu, Yang Cao, Feng Wu, Zheng-Jun Zha
Background Activation Suppression for Weakly Supervised Object Localization and Semantic Segmentation. Int. J. Comput. Vis. 132 (3) (2024)
Qianzi Yu, Kai Zhu, Wen Wang, Yang Cao, Yu Kang
Incremental Object Detection With Image-Level Labels. IEEE Trans. Artif. Intell. 5 (5) (2024)
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 (2024)
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 (2024)
Sen Liang, Kai Zhu, Wei Zhai, Zhiheng Liu, Yang Cao
Hypercorrelation Evolution for Video Class-Incremental Learning. AAAI (2024)
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)
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)
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 (2023)
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)
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)
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)
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 (2023)
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)
Fan Lu, Kai Zhu, Wei Zhai, Kecheng Zheng, Yang Cao
Uncertainty-Aware Optimal Transport for Semantically Coherent Out-of-Distribution Detection. CVPR (2023)
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 (2023)
Fan Lu, Kai Zhu, Kecheng Zheng, Wei Zhai, Yang Cao
Likelihood-Aware Semantic Alignment for Full-Spectrum Out-of-Distribution Detection. CoRR (2023)
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 (2022)
Jian Yang, Kai Zhu, Kecheng Zheng, Yang Cao
Uncertainty-Aware Hierarchical Refinement for Incremental Implicitly-Refined Classification. NeurIPS (2022)
Ruijing Zhao, Kai Zhu, Yang Cao, Zheng-Jun Zha
AS-Net: Class-Aware Assistance and Suppression Network for Few-Shot Learning. MMM (2) (2022)
Kecheng Zheng, Yang Cao, Kai Zhu, Ruijing Zhao, Zheng-Jun Zha
FAMLP: A Frequency-Aware MLP-Like Architecture For Domain Generalization. CoRR (2022)
Kai Zhu, Wei Zhai, Yang Cao, Jiebo Luo, Zheng-Jun Zha
Self-Sustaining Representation Expansion for Non-Exemplar Class-Incremental Learning. CoRR (2022)
Kai Zhu, Wei Zhai, Yang Cao, Jiebo Luo, Zhengjun Zha
Self-Sustaining Representation Expansion for Non-Exemplar Class-Incremental Learning. CVPR (2022)
Kai Zhu, Yang Cao, Wei Zhai, Jie Cheng, Zheng-Jun Zha
Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning. CVPR (2021)
Kai Zhu, Yang Cao, Wei Zhai, Zheng-Jun Zha
One-Shot Texture Retrieval Using Global Grouping Metric. IEEE Trans. Multim. 23 (2021)
Kai Zhu, Yang Cao, Wei Zhai, Jie Cheng, Zheng-Jun Zha
Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning. CoRR (2021)
Kai Zhu, Wei Zhai, Yang Cao
Self-Supervised Tuning for Few-Shot Segmentation. IJCAI (2020)
Kai Zhu, Wei Zhai, Zheng-Jun Zha, Yang Cao
Self-Supervised Tuning for Few-Shot Segmentation. CoRR (2020)
Kai Zhu, Wei Zhai, Zheng-Jun Zha, Yang Cao
One-Shot Texture Retrieval with Global Context Metric. IJCAI (2019)
Kai Zhu, Wei Zhai, Zheng-Jun Zha, Yang Cao
One-Shot Texture Retrieval with Global Context Metric. CoRR (2019)