De Cheng

According to our database, De Cheng authored at least 69 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Image dehazing via self-supervised depth guidance.

Yudong Liang, Shaoji Li, De Cheng, Wenjian Wang, Deyu Li, Jiye Liang

Pattern Recognit., 2025

2024

Efficient Statistical Sampling Adaptation for Exemplar-Free Class Incremental Learning.

De Cheng, Yuxin Zhao, Nannan Wang, Guozhang Li, Dingwen Zhang, Xinbo Gao

IEEE Trans. Circuits Syst. Video Technol., November, 2024

M-RRFS: A Memory-Based Robust Region Feature Synthesizer for Zero-Shot Object Detection.

Peiliang Huang, Dingwen Zhang, De Cheng, Longfei Han, Pengfei Zhu, Junwei Han

Int. J. Comput. Vis., October, 2024

Weakly Supervised Temporal Action Localization With Bidirectional Semantic Consistency Constraint.

Guozhang Li, De Cheng, Xinpeng Ding, Nannan Wang, Jie Li, Xinbo Gao

IEEE Trans. Neural Networks Learn. Syst., September, 2024

Dual Modality Prompt Tuning for Vision-Language Pre-Trained Model.

Yinghui Xing, Qirui Wu, De Cheng, Shizhou Zhang, Guoqiang Liang, Peng Wang, Yanning Zhang

IEEE Trans. Multim., 2024

Progressive Negative Enhancing Contrastive Learning for Image Dehazing and Beyond.

De Cheng, Yan Li, Dingwen Zhang, Nannan Wang, Jiande Sun, Xinbo Gao

IEEE Trans. Multim., 2024

Continual All-in-One Adverse Weather Removal With Knowledge Replay on a Unified Network Structure.

De Cheng, Yanling Ji, Dong Gong, Yan Li, Nannan Wang, Junwei Han, Dingwen Zhang

IEEE Trans. Multim., 2024

Neighbor-Guided Pseudo-Label Generation and Refinement for Single-Frame Supervised Temporal Action Localization.

Guozhang Li, De Cheng, Nannan Wang, Jie Li, Xinbo Gao

IEEE Trans. Image Process., 2024

Neighbor Consistency and Global-Local Interaction: A Novel Pseudo-Label Refinement Approach for Unsupervised Person Re-Identification.

De Cheng, Haichun Tai, Nannan Wang, Chaowei Fang, Xinbo Gao

IEEE Trans. Inf. Forensics Secur., 2024

Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning.

De Cheng, Yue Lu, Lingfeng He, Shizhou Zhang, Xi Yang, Nannan Wang, Xinbo Gao

CoRR, 2024

Diffusion-based Layer-wise Semantic Reconstruction for Unsupervised Out-of-Distribution Detection.

Ying Yang, De Cheng, Chaowei Fang, Yubiao Wang, Changzhe Jiao, Lechao Cheng, Nannan Wang

CoRR, 2024

HPT++: Hierarchically Prompting Vision-Language Models with Multi-Granularity Knowledge Generation and Improved Structure Modeling.

Yubin Wang, Xinyang Jiang, De Cheng, Wenli Sun, Dongsheng Li, Cairong Zhao

CoRR, 2024

ActPrompt: In-Domain Feature Adaptation via Action Cues for Video Temporal Grounding.

Yubin Wang, Xinyang Jiang, De Cheng, Dongsheng Li, Cairong Zhao

CoRR, 2024

Center-Sensitive Kernel Optimization for Efficient On-Device Incremental Learning.

Dingwen Zhang, Yan Li, De Cheng, Nannan Wang, Junwei Han

CoRR, 2024

Visual Prompt Tuning in Null Space for Continual Learning.

Yue Lu, Shizhou Zhang, De Cheng, Yinghui Xing, Nannan Wang, Peng Wang, Yanning Zhang

CoRR, 2024

Exploring Homogeneous and Heterogeneous Consistent Label Associations for Unsupervised Visible-Infrared Person ReID.

Lingfeng He, De Cheng, Nannan Wang, Xinbo Gao

CoRR, 2024

Disentangling Identity Features from Interference Factors for Cloth-Changing Person Re-identification.

Yubo Li, De Cheng, Chaowei Fang, Changzhe Jiao, Nannan Wang, Xinbo Gao

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Multi-Granularity Graph-Convolution-Based Method for Weakly Supervised Person Search.

Haichun Tai, De Cheng, Jie Li, Nannan Wang, Xinbo Gao

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Dual-Branch Task Residual Enhancement with Parameter-Free Attention for Zero-Shot Multi-label Image Recognition.

Shizhou Zhang, Kairui Dang, De Cheng, Yinghui Xing, Qirui Wu, Dexuan Kong, Yanning Zhang

Proceedings of the Pattern Recognition - 27th International Conference, 2024

Task-aware Orthogonal Sparse Network for Exploring Shared Knowledge in Continual Learning.

Yusong Hu, De Cheng, Dingwen Zhang, Nannan Wang, Tongliang Liu, Xinbo Gao

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Gradient and Brightness Guided Low-Light Enhancement with Attention-Based Self-Paced Learning.

Xiaoyan Sun, Yan Li, De Cheng, Dingwen Zhang, Ling Gao, Luofeng Zhai, Jiande Sun

Proceedings of the IEEE International Conference on Acoustics, 2024

Cross-Platform Video Person ReID: A New Benchmark Dataset and Adaptation Approach.

Shizhou Zhang, Wenlong Luo, De Cheng, Qingchun Yang, Lingyan Ran, Yinghui Xing, Yanning Zhang

Proceedings of the Computer Vision - ECCV 2024, 2024

Disentangled Prompt Representation for Domain Generalization.

De Cheng, Zhipeng Xu, Xinyang Jiang, Nannan Wang, Dongsheng Li, Xinbo Gao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models.

Yubin Wang, Xinyang Jiang, De Cheng, Dongsheng Li, Cairong Zhao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Discriminative and Robust Attribute Alignment for Zero-Shot Learning.

De Cheng, Gerong Wang, Nannan Wang, Dingwen Zhang, Qiang Zhang, Xinbo Gao

IEEE Trans. Circuits Syst. Video Technol., August, 2023

Hybrid routing transformer for zero-shot learning.

De Cheng, Gerong Wang, Bo Wang, Qiang Zhang, Jungong Han, Dingwen Zhang

Pattern Recognit., May, 2023

EtC: Temporal Boundary Expand then Clarify for Weakly Supervised Video Grounding with Multimodal Large Language Model.

Guozhang Li, Xinpeng Ding, De Cheng, Jie Li, Nannan Wang, Xinbo Gao

CoRR, 2023

Ground-to-Aerial Person Search: Benchmark Dataset and Approach.

Shizhou Zhang, Qingchun Yang, De Cheng, Yinghui Xing, Guoqiang Liang, Peng Wang, Yanning Zhang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Efficient Bilateral Cross-Modality Cluster Matching for Unsupervised Visible-Infrared Person ReID.

De Cheng, Lingfeng He, Nannan Wang, Shizhou Zhang, Zhen Wang, Xinbo Gao

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Unsupervised Visible-Infrared Person ReID by Collaborative Learning with Neighbor-Guided Label Refinement.

De Cheng, Xiaojian Huang, Nannan Wang, Lingfeng He, Zhihui Li, Xinbo Gao

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Text-based Person Search in Full Images via Semantic-Driven Proposal Generation.

Shizhou Zhang, De Cheng, Wenlong Luo, Yinghui Xing, Duo Long, Hao Li, Kai Niu, Guoqiang Liang, Yanning Zhang

Proceedings of the 4th International Workshop on Human-centric Multimedia Analysis, 2023

Boosting Weakly-Supervised Temporal Action Localization with Text Information.

Guozhang Li, De Cheng, Xinpeng Ding, Nannan Wang, Xiaoyu Wang, Xinbo Gao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Cross-Modality Person Re-identification with Memory-Based Contrastive Embedding.

De Cheng, Xiaolong Wang, Nannan Wang, Zhen Wang, Xiaoyu Wang, Xinbo Gao

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Hybrid Dynamic Contrast and Probability Distillation for Unsupervised Person Re-Id.

De Cheng, Jingyu Zhou, Nannan Wang, Xinbo Gao

IEEE Trans. Image Process., 2022

Learning Deep Resonant Prior for Hyperspectral Image Super-Resolution.

Zhaori Gong, Nannan Wang, De Cheng, Xinrui Jiang, Jingwei Xin, Xi Yang, Xinbo Gao

IEEE Trans. Geosci. Remote. Sens., 2022

Single image dehazing with an independent Detail-Recovery Network.

Yan Li, De Cheng, Dingwen Zhang, Nannan Wang, Xinbo Gao, Jiande Sun

Knowl. Based Syst., 2022

Neighbour Consistency Guided Pseudo-Label Refinement for Unsupervised Person Re-Identification.

De Cheng, Haichun Tai, Nannan Wang, Zhen Wang, Xinbo Gao

CoRR, 2022

Class-Aware Visual Prompt Tuning for Vision-Language Pre-Trained Model.

Yinghui Xing, Qirui Wu, De Cheng, Shizhou Zhang, Guoqiang Liang, Yanning Zhang

CoRR, 2022

Class-Dependent Label-Noise Learning with Cycle-Consistency Regularization.

De Cheng, Yixiong Ning, Nannan Wang, Xinbo Gao, Heng Yang, Yuxuan Du, Bo Han, Tongliang Liu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Robust Single Image Dehazing Based on Consistent and Contrast-Assisted Reconstruction.

De Cheng, Yan Li, Dingwen Zhang, Nannan Wang, Xinbo Gao, Jiande Sun

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Robust Region Feature Synthesizer for Zero-Shot Object Detection.

Peiliang Huang, Junwei Han, De Cheng, Dingwen Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Instance-Dependent Label-Noise Learning with Manifold-Regularized Transition Matrix Estimation.

De Cheng, Tongliang Liu, Yixiong Ning, Nannan Wang, Bo Han, Gang Niu, Xinbo Gao, Masashi Sugiyama

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Disentangling Deep Network for Reconstructing 3D Object Shapes from Single 2D Images.

Yang Yang, Junwei Han, Dingwen Zhang, De Cheng

Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

Support-Set Based Cross-Supervision for Video Grounding.

Xinpeng Ding, Nannan Wang, Shiwei Zhang, De Cheng, Xiaomeng Li, Ziyuan Huang, Mingqian Tang, Xinbo Gao

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Lossless Compression for Video Streams with Frequency Prediction and Macro Block Merging.

Jixiang Luo, Shaohui Li, Wenrui Dai, De Cheng, Gang Li, Chenglin Li, Junni Zou, Hongkai Xiong

Proceedings of the 31st Data Compression Conference, 2021

2020

Fusion of Multiple Person Re-id Methods With Model and Data-Aware Abilities.

De Cheng, Zhihui Li, Yihong Gong, Dingwen Zhang

IEEE Trans. Cybern., 2020

Object detection with class aware region proposal network and focused attention objective.

Xiaoyu Tao, Yihong Gong, Weiwei Shi, De Cheng

Pattern Recognit. Lett., 2020

A model of co-saliency based audio attention.

XiaoMing Zhao, Xinxin Wang, De Cheng

Multim. Tools Appl., 2020

Noise-to-Compression Variational Autoencoder for Efficient End-to-End Optimized Image Coding.

Jixiang Luo, Shaohui Li, Wenrui Dai, Yuhui Xu, De Cheng, Gang Li, Hongkai Xiong

Proceedings of the Data Compression Conference, 2020

2019

Fine-Grained Image Classification Using Modified DCNNs Trained by Cascaded Softmax and Generalized Large-Margin Losses.

Weiwei Shi, Yihong Gong, Xiaoyu Tao, De Cheng, Nanning Zheng

IEEE Trans. Neural Networks Learn. Syst., 2019

Consistency-Preserving deep hashing for fast person re-identification.

Diangang Li, Yihong Gong, De Cheng, Weiwei Shi, Xiaoyu Tao, Xinyuan Chang

Pattern Recognit., 2019

2018

Two-Stream Multirate Recurrent Neural Network for Video-Based Pedestrian Reidentification.

Zhiqiang Zeng, Zhihui Li, De Cheng, Huaxiang Zhang, Kun Zhan, Yi Yang

IEEE Trans. Ind. Informatics, 2018

Entropy and orthogonality based deep discriminative feature learning for object recognition.

Weiwei Shi, Yihong Gong, De Cheng, Xiaoyu Tao, Nanning Zheng

Pattern Recognit., 2018

Deep feature learning via structured graph Laplacian embedding for person re-identification.

De Cheng, Yihong Gong, Xiaojun Chang, Weiwei Shi, Alexander G. Hauptmann, Nanning Zheng

Pattern Recognit., 2018

View-invariant gait recognition based on kinect skeleton feature.

Jiande Sun, Yufei Wang, Jing Li, Wenbo Wan, De Cheng, Huaxiang Zhang

Multim. Tools Appl., 2018

Correction to: Person re-identification by the symmetric triplet and identification loss function.

De Cheng, Yihong Gong, Weiwei Shi, Shizhou Zhang

Multim. Tools Appl., 2018

Person re-identification by the asymmetric triplet and identification loss function.

De Cheng, Yihong Gong, Weiwei Shi, Shizhou Zhang

Multim. Tools Appl., 2018

Pedestrian search in surveillance videos by learning discriminative deep features.

Shizhou Zhang, De Cheng, Yihong Gong, Dahu Shi, Xi Qiu, Yong Xia, Yanning Zhang

Neurocomputing, 2018

2017

Balanced Mixture of Deformable Part Models With Automatic Part Configurations.

De Cheng, Yihong Gong, Jingjun Wang, Nanning Zheng

IEEE Trans. Circuits Syst. Video Technol., 2017

A Weight-Adaptive Laplacian Embedding for Graph-Based Clustering.

De Cheng, Feiping Nie, Jiande Sun, Yihong Gong

Neural Comput., 2017

Part-aware trajectories association across non-overlapping uncalibrated cameras.

De Cheng, Yihong Gong, Jinjun Wang, Qiqi Hou, Nanning Zheng

Neurocomputing, 2017

Deep Feature Learning via Structured Graph Laplacian Embedding for Person Re-Identification.

De Cheng, Yihong Gong, Zhihui Li, Weiwei Shi, Alexander G. Hauptmann, Nanning Zheng

CoRR, 2017

Video Search via Ranking Network with Very Few Query Exemplars.

De Cheng, Lu Jiang, Yihong Gong, Nanning Zheng, Alexander G. Hauptmann

Proceedings of the MultiMedia Modeling - 23rd International Conference, 2017

Discriminative Dictionary Learning With Ranking Metric Embedded for Person Re-Identification.

De Cheng, Xiaojun Chang, Li Liu, Alexander G. Hauptmann, Yihong Gong, Nanning Zheng

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Rewind to track: Parallelized apprenticeship learning with backward tracklets.

Jiang Liu, Jia Chen, De Cheng, Chenqiang Gao, Alexander G. Hauptmann

Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

Complex Event Detection by Identifying Reliable Shots from Untrimmed Videos.

Hehe Fan, Xiaojun Chang, De Cheng, Yi Yang, Dong Xu, Alexander G. Hauptmann

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Person Re-identification by Multi-Channel Parts-Based CNN with Improved Triplet Loss Function.

De Cheng, Yihong Gong, Sanping Zhou, Jinjun Wang, Nanning Zheng

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Training mixture of weighted SVM for object detection using EM algorithm.

De Cheng, Jinjun Wang, Xing Wei, Yihong Gong

Neurocomputing, 2015

Cascade object detection with complementary features and algorithms.

De Cheng, Jinjun Wang, Xing Wei, Nan Liu, Shizhou Zhang, Yihong Gong, Nanning Zheng

Proceedings of the 9th IEEE International Conference on Semantic Computing, 2015