Kecheng Zheng

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 55

Top Topics

Diffusion Models

Temporally Consistent

Reinforcement Learning

Top Venues

Publications

Qinying Liu, Kecheng Zheng, Wei Wu, Zhan Tong, Yu Liu, Wei Chen, Zilei Wang, Yujun Shen
TagAlign: Improving Vision-Language Alignment with Multi-Tag Classification. CoRR (2023)
Kecheng Zheng, Juan Cheng, Yu Liu
CCSR-Net: Unfolding Coupled Convolutional Sparse Representation for Multi-focus Image Fusion. PRCV (10) (2023)
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)
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)
Wen Wang, Kecheng Zheng, Qiuyu Wang, Hao Chen, Zifan Shi, Ceyuan Yang, Yujun Shen, Chunhua Shen
GenDeF: Learning Generative Deformation Field for Video Generation. 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. 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)
Ka Leong Cheng, Qiuyu Wang, Zifan Shi, Kecheng Zheng, Yinghao Xu, Hao Ouyang, Qifeng Chen, Yujun Shen
Learning Naturally Aggregated Appearance for Efficient 3D Editing. CoRR (2023)
Wen Wang, Canyu Zhao, Hao Chen, Zhekai Chen, Kecheng Zheng, Chunhua Shen
AutoStory: Generating Diverse Storytelling Images with Minimal Human Effort. CoRR (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. CoRR (2023)
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 (2023)
Hao Ouyang, Qiuyu Wang, Yuxi Xiao, Qingyan Bai, Juntao Zhang, Kecheng Zheng, Xiaowei Zhou, Qifeng Chen, Yujun Shen
CoDeF: Content Deformation Fields for Temporally Consistent Video Processing. CoRR (2023)
Liming Zhao, Kecheng Zheng, Yun Zheng, Deli Zhao, Jingren Zhou
RLEG: Vision-Language Representation Learning with Diffusion-based Embedding Generation. ICML (2023)
Jiapeng Zhu, Ceyuan Yang, Kecheng Zheng, Yinghao Xu, Zifan Shi, Yujun Shen
Exploring Sparse MoE in GANs for Text-conditioned Image Synthesis. 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)
Qiuyu Wang, Zifan Shi, Kecheng Zheng, Yinghao Xu, Sida Peng, Yujun Shen
Benchmarking and Analyzing 3D-aware Image Synthesis with a Modularized Codebase. NeurIPS (2023)
Qiuyu Wang, Zifan Shi, Kecheng Zheng, Yinghao Xu, Sida Peng, Yujun Shen
Benchmarking and Analyzing 3D-aware Image Synthesis with a Modularized Codebase. 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)
Fan Lu, Kai Zhu, Wei Zhai, Kecheng Zheng, Yang Cao
Uncertainty-Aware Optimal Transport for Semantically Coherent Out-of-Distribution Detection. CoRR (2023)
Jiawei Liu, Zhipeng Huang, Liang Li, Kecheng Zheng, Zheng-Jun Zha
Debiased Batch Normalization via Gaussian Process for Generalizable Person Re-identification. AAAI (2022)
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)
Ruili Feng, Jie Xiao, Kecheng Zheng, Deli Zhao, Jingren Zhou, Qibin Sun, Zheng-Jun Zha
Principled Knowledge Extrapolation with GANs. ICML (2022)
Zizheng Yang, Xin Jin, Kecheng Zheng, Feng Zhao
Unleashing Potential of Unsupervised Pre-Training with Intra-Identity Regularization for Person Re-Identification. CVPR (2022)
Jian Yang, Kai Zhu, Kecheng Zheng, Yang Cao
Uncertainty-Aware Hierarchical Refinement for Incremental Implicitly-Refined Classification. NeurIPS (2022)
Ruili Feng, Jie Xiao, Kecheng Zheng, Deli Zhao, Jingren Zhou, Qibin Sun, Zheng-Jun Zha
Principled Knowledge Extrapolation with GANs. CoRR (2022)
Wei Wu, Jiawei Liu, Kecheng Zheng, Qibin Sun, Zhengjun Zha
Temporal Complementarity-Guided Reinforcement Learning for Image-to-Video Person Re-Identification. CVPR (2022)
Jiawei Liu, Zhipeng Huang, Liang Li, Kecheng Zheng, Zheng-Jun Zha
Debiased Batch Normalization via Gaussian Process for Generalizable Person Re-Identification. CoRR (2022)
Kecheng Zheng, Yang Cao, Kai Zhu, Ruijing Zhao, Zheng-Jun Zha
FAMLP: A Frequency-Aware MLP-Like Architecture For Domain Generalization. CoRR (2022)
Zhipeng Huang, Jiawei Liu, Liang Li, Kecheng Zheng, Zheng-Jun Zha
Modality-Adaptive Mixup and Invariant Decomposition for RGB-Infrared Person Re-identification. AAAI (2022)
Xin Jin, Tianyu He, Kecheng Zheng, Zhiheng Yin, Xu Shen, Zhen Huang, Ruoyu Feng, Jianqiang Huang, Zhibo Chen, Xian-Sheng Hua
Cloth-Changing Person Re-identification from A Single Image with Gait Prediction and Regularization. CVPR (2022)
Zhipeng Huang, Jiawei Liu, Liang Li, Kecheng Zheng, Zheng-Jun Zha
Modality-Adaptive Mixup and Invariant Decomposition for RGB-Infrared Person Re-Identification. CoRR (2022)
Ruili Feng, Kecheng Zheng, Yukun Huang, Deli Zhao, Michael I. Jordan, Zheng-Jun Zha
Rank Diminishing in Deep Neural Networks. NeurIPS (2022)
Ruili Feng, Kecheng Zheng, Yukun Huang, Deli Zhao, Michael I. Jordan, Zheng-Jun Zha
Rank Diminishing in Deep Neural Networks. CoRR (2022)
Kecheng Zheng, Cuiling Lan, Wenjun Zeng, Jiawei Liu, Zhizheng Zhang, Zheng-Jun Zha
Pose-Guided Feature Learning with Knowledge Distillation for Occluded Person Re-Identification. ACM Multimedia (2021)
Zizheng Yang, Xin Jin, Kecheng Zheng, Feng Zhao
Unleashing the Potential of Unsupervised Pre-Training with Intra-Identity Regularization for Person Re-Identification. CoRR (2021)
Jiawei Liu, Zheng-Jun Zha, Wei Wu, Kecheng Zheng, Qibin Sun
Spatial-Temporal Correlation and Topology Learning for Person Re-Identification in Videos. CVPR (2021)
Kecheng Zheng, Wu Liu, Lingxiao He, Tao Mei, Jiebo Luo, Zheng-Jun Zha
Group-aware Label Transfer for Domain Adaptive Person Re-identification. CVPR (2021)
Rui Zhao, Kecheng Zheng, Zheng-Jun Zha, Hongtao Xie, Jiebo Luo
Memory Enhanced Embedding Learning for Cross-Modal Video-Text Retrieval. CoRR (2021)
Kecheng Zheng, Wu Liu, Lingxiao He, Tao Mei, Jiebo Luo, Zheng-Jun Zha
Group-aware Label Transfer for Domain Adaptive Person Re-identification. CoRR (2021)
Lingxiao He, Wu Liu, Jian Liang, Kecheng Zheng, Xingyu Liao, Peng Cheng, Tao Mei
Semi-Supervised Domain Generalizable Person Re-Identification. CoRR (2021)
Kecheng Zheng, Jiawei Liu, Wei Wu, Liang Li, Zhengjun Zha
Calibrated Feature Decomposition for Generalizable Person Re-Identification. CoRR (2021)
Kecheng Zheng, Cuiling Lan, Wenjun Zeng, Zhizheng Zhang, Zheng-Jun Zha
Exploiting Sample Uncertainty for Domain Adaptive Person Re-Identification. AAAI (2021)
Xin Jin, Tianyu He, Kecheng Zheng, Zhiheng Yin, Xu Shen, Zhen Huang, Ruoyu Feng, Jianqiang Huang, Xian-Sheng Hua, Zhibo Chen
Cloth-Changing Person Re-identification from A Single Image with Gait Prediction and Regularization. CoRR (2021)
Jiawei Liu, Zheng-Jun Zha, Wei Wu, Kecheng Zheng, Qibin Sun
Spatial-Temporal Correlation and Topology Learning for Person Re-Identification in Videos. CoRR (2021)
Zhizheng Zhang, Cuiling Lan, Wenjun Zeng, Quanzeng You, Zicheng Liu, Kecheng Zheng, Zhibo Chen
Disentanglement-based Cross-Domain Feature Augmentation for Effective Unsupervised Domain Adaptive Person Re-identification. CoRR (2021)
Kecheng Zheng, Cuiling Lan, Wenjun Zeng, Jiawei Liu, Zhizheng Zhang, Zheng-Jun Zha
Pose-Guided Feature Learning with Knowledge Distillation for Occluded Person Re-Identification. CoRR (2021)
Rui Zhao, Kecheng Zheng, Zhengjun Zha
Stacked Convolutional Deep Encoding Network For Video-Text Retrieval. ICME (2020)
Kecheng Zheng, Wu Liu, Jiawei Liu, Zheng-Jun Zha, Tao Mei
Hierarchical Gumbel Attention Network for Text-based Person Search. ACM Multimedia (2020)
Rui Zhao, Kecheng Zheng, Zhengjun Zha
Stacked Convolutional Deep Encoding Network for Video-Text Retrieval. CoRR (2020)
Kecheng Zheng, Cuiling Lan, Wenjun Zeng, Zhizheng Zhang, Zheng-Jun Zha
Exploiting Sample Uncertainty for Domain Adaptive Person Re-Identification. CoRR (2020)
Kecheng Zheng, Zheng-Jun Zha, Wei Wei
Abstract Reasoning with Distracting Features. NeurIPS (2019)
Kecheng Zheng, Zheng-Jun Zha, Wei Wei
Abstract Reasoning with Distracting Features. CoRR (2019)
Kecheng Zheng, Zheng-Jun Zha, Yang Cao, Xuejin Chen, Feng Wu
LA-Net: Layout-Aware Dense Network for Monocular Depth Estimation. ACM Multimedia (2018)