Instance-Level Coupled Subspace Learning for Fine-Grained Sketch-Based Image Retrieval. - Peng Xu 005; Qiyue Yin; Yonggang Qi; Yi-Zhe Song; Zhanyu Ma; Liang Wang 001; Jun Guo 002 (ECCV Workshops (1), 2016)

Cross-modal subspace learning for sketch-based image retrieval: A comparative study. - Peng Xu 005; Ke Li 004; Zhanyu Ma; Yi-Zhe Song; Liang Wang 001; Jun Guo 002 (IC-NIDC, 2016)

SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval. - Peng Xu 005; Yongye Huang; Tongtong Yuan; Kaiyue Pang; Yi-Zhe Song; Tao Xiang 002; Timothy M. Hospedales; Zhanyu Ma; Jun Guo 002 (CVPR, 2018)

Cross-modal subspace learning for fine-grained sketch-based image retrieval. - Peng Xu 005; Qiyue Yin; Yongye Huang; Yi-Zhe Song; Zhanyu Ma; Liang Wang 001; Tao Xiang 002; W. Bastiaan Kleijn; Jun Guo 002 (Neurocomputing, 2018)

Deep Zero-Shot Learning for Scene Sketch. - Yao Xie; Peng Xu 005; Zhanyu Ma (ICIP, 2019)

Multi-Graph Transformer for Free-Hand Sketch Recognition. - Peng Xu 005; Chaitanya K. Joshi; Xavier Bresson (CoRR, 2019)

On Learning Semantic Representations for Million-Scale Free-Hand Sketches. - Peng Xu 005; Yongye Huang; Tongtong Yuan; Tao Xiang 002; Timothy M. Hospedales; Yi-Zhe Song; Liang Wang 001 (CoRR, 2020)

On Learning Semantic Representations for Large-Scale Abstract Sketches. - Peng Xu 005; Yongye Huang; Tongtong Yuan; Tao Xiang 002; Timothy M. Hospedales; Yi-Zhe Song; Liang Wang 001 (IEEE Trans. Circuits Syst. Video Technol., 2021)

Fine-Grained Instance-Level Sketch-Based Video Retrieval. - Peng Xu 005; Kun Liu 016; Tao Xiang 002; Timothy M. Hospedales; Zhanyu Ma; Jun Guo 002; Yi-Zhe Song (IEEE Trans. Circuits Syst. Video Technol., 2021)

Deep Self-Supervised Representation Learning for Free-Hand Sketch. - Peng Xu 005; Zeyu Song; Qiyue Yin; Yi-Zhe Song; Liang Wang 001 (IEEE Trans. Circuits Syst. Video Technol., 2021)

Unsupervised Long-Term Person Re-Identification with Clothes Change. - Mingkun Li; Peng Xu 005; Xiatian Zhu; Jun Guo 002 (CoRR, 2022)

Multigraph Transformer for Free-Hand Sketch Recognition. - Peng Xu 005; Chaitanya K. Joshi; Xavier Bresson (IEEE Trans. Neural Networks Learn. Syst., 2022)

Unsupervised Long-Term Person Re-Identification with Clothes Change. - Mingkun Li; Shupeng Cheng; Peng Xu 005; Xiantian Zhu; Chun-Guang Li; Jun Guo 002 (IC-NIDC, 2023)

MaskCL: Semantic Mask-Driven Contrastive Learning for Unsupervised Person Re-Identification with Clothes Change. - Mingkun Li; Peng Xu 005; Chun-Guang Li; Jun Guo 002 (CoRR, 2023)

When Super-Resolution Meets Camouflaged Object Detection: A Comparison Study. - Juan Wen; Shupeng Cheng; Peng Xu 005; Bowen Zhou 002; Radu Timofte; Weiyan Hou; Luc Van Gool (CoRR, 2023)

Large Model Based Referring Camouflaged Object Detection. - Shupeng Cheng; Ge-Peng Ji; Pengda Qin; Deng-Ping Fan; Bowen Zhou 002; Peng Xu 005 (CoRR, 2023)

Deep Learning for Free-Hand Sketch: A Survey. - Peng Xu 005; Timothy M. Hospedales; Qiyue Yin; Yi-Zhe Song; Tao Xiang 002; Liang Wang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Advances in deep concealed scene understanding. - Deng-Ping Fan; Ge-Peng Ji; Peng Xu 005; Ming-Ming Cheng; Christos Sakaridis; Luc Van Gool (Vis. Intell., 2023)

Multimodal Learning With Transformers: A Survey. - Peng Xu 005; Xiatian Zhu; David A. Clifton (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

SAM struggles in concealed scenes - empirical study on "Segment Anything". - Ge-Peng Ji; Deng-Ping Fan; Peng Xu 005; Bowen Zhou 002; Ming-Ming Cheng; Luc Van Gool (Sci. China Inf. Sci., 2023)

LAKE-RED: Camouflaged Images Generation by Latent Background Knowledge Retrieval-Augmented Diffusion. - Pancheng Zhao; Peng Xu 005; Pengda Qin; Deng-Ping Fan; Zhicheng Zhang; Guoli Jia; Bowen Zhou 002; Jufeng Yang (CVPR, 2024)

Frontiers in Intelligent Colonoscopy. - Ge-Peng Ji; Jing Liu 031; Peng Xu 005; Nick Barnes; Fahad Shahbaz Khan; Salman H. Khan 001; Deng-Ping Fan (CoRR, 2024)

Deep Learning in Concealed Dense Prediction. - Pancheng Zhao; Deng-Ping Fan; Shupeng Cheng; Salman H. Khan 001; Fahad Shahbaz Khan; David A. Clifton; Peng Xu 005; Jufeng Yang (CoRR, 2025)

LENS: Multi-level Evaluation of Multimodal Reasoning with Large Language Models. - Ruilin Yao; Bo Zhang 069; Jirui Huang; Xinwei Long; Yifang Zhang; Tianyu Zou; Yufei Wu; Shichao Su; Yifan Xu; Wenxi Zeng; Zhaoyu Yang; Guoyou Li; et al. (CoRR, 2025)

Guest Editorial: Introduction to the Special Section on Large-Scale Multimodal Learning: Universality, Robustness, Efficiency, and Beyond. - Peng Xu 005; Song Bai; Bowen Zhou 002; David A. Clifton; Andrea Vedaldi; Mihaela van der Schaar; Luc Van Gool (IEEE Trans. Pattern Anal. Mach. Intell., 2025)