Peng Xu

According to our database, Peng Xu authored at least 25 papers between 2016 and 2025.

Collaborative distances:

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

2025

Guest Editorial: Introduction to the Special Section on Large-Scale Multimodal Learning: Universality, Robustness, Efficiency, and Beyond.

Peng Xu, Song Bai, Bowen Zhou, David A. Clifton, Andrea Vedaldi, Mihaela van der Schaar, Luc Van Gool

IEEE Trans. Pattern Anal. Mach. Intell., July, 2025

LENS: Multi-level Evaluation of Multimodal Reasoning with Large Language Models.

Ruilin Yao, Bo Zhang, Jirui Huang, Xinwei Long, Yifang Zhang, Tianyu Zou, Yufei Wu, Shichao Su, Yifan Xu, Wenxi Zeng, Zhaoyu Yang, Guoyou Li, Shilan Zhang, Zichan Li, Yaxiong Chen, Shengwu Xiong, Peng Xu, Jiajun Zhang, Bowen Zhou, David A. Clifton, Luc Van Gool

CoRR, May, 2025

Deep Learning in Concealed Dense Prediction.

Pancheng Zhao, Deng-Ping Fan, Shupeng Cheng, Salman H. Khan, Fahad Shahbaz Khan, David A. Clifton, Peng Xu, Jufeng Yang

CoRR, April, 2025

2024

Frontiers in Intelligent Colonoscopy.

Ge-Peng Ji, Jing Liu, Peng Xu, Nick Barnes, Fahad Shahbaz Khan, Salman H. Khan, Deng-Ping Fan

CoRR, 2024

LAKE-RED: Camouflaged Images Generation by Latent Background Knowledge Retrieval-Augmented Diffusion.

Pancheng Zhao, Peng Xu, Pengda Qin, Deng-Ping Fan, Zhicheng Zhang, Guoli Jia, Bowen Zhou, Jufeng Yang

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

2023

SAM struggles in concealed scenes - empirical study on "Segment Anything".

Ge-Peng Ji, Deng-Ping Fan, Peng Xu, Bowen Zhou, Ming-Ming Cheng, Luc Van Gool

Sci. China Inf. Sci., December, 2023

Multimodal Learning With Transformers: A Survey.

Peng Xu, Xiatian Zhu, David A. Clifton

IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Advances in deep concealed scene understanding.

Deng-Ping Fan, Ge-Peng Ji, Peng Xu, Ming-Ming Cheng, Christos Sakaridis, Luc Van Gool

Vis. Intell., 2023

Deep Learning for Free-Hand Sketch: A Survey.

Peng Xu, Timothy M. Hospedales, Qiyue Yin, Yi-Zhe Song, Tao Xiang, Liang Wang

IEEE Trans. Pattern Anal. Mach. Intell., 2023

Large Model Based Referring Camouflaged Object Detection.

Shupeng Cheng, Ge-Peng Ji, Pengda Qin, Deng-Ping Fan, Bowen Zhou, Peng Xu

CoRR, 2023

When Super-Resolution Meets Camouflaged Object Detection: A Comparison Study.

Juan Wen, Shupeng Cheng, Peng Xu, Bowen Zhou, Radu Timofte, Weiyan Hou, Luc Van Gool

CoRR, 2023

MaskCL: Semantic Mask-Driven Contrastive Learning for Unsupervised Person Re-Identification with Clothes Change.

Mingkun Li, Peng Xu, Chun-Guang Li, Jun Guo

CoRR, 2023

Unsupervised Long-Term Person Re-Identification with Clothes Change.

Mingkun Li, Shupeng Cheng, Peng Xu, Xiantian Zhu, Chun-Guang Li, Jun Guo

Proceedings of the 8th IEEE International Conference on Network Intelligence and Digital Content, 2023

2022

Multigraph Transformer for Free-Hand Sketch Recognition.

Peng Xu, Chaitanya K. Joshi, Xavier Bresson

IEEE Trans. Neural Networks Learn. Syst., 2022

Unsupervised Long-Term Person Re-Identification with Clothes Change.

Mingkun Li, Peng Xu, Xiatian Zhu, Jun Guo

CoRR, 2022

2021

Deep Self-Supervised Representation Learning for Free-Hand Sketch.

Peng Xu, Zeyu Song, Qiyue Yin, Yi-Zhe Song, Liang Wang

IEEE Trans. Circuits Syst. Video Technol., 2021

Fine-Grained Instance-Level Sketch-Based Video Retrieval.

Peng Xu, Kun Liu, Tao Xiang, Timothy M. Hospedales, Zhanyu Ma, Jun Guo, Yi-Zhe Song

IEEE Trans. Circuits Syst. Video Technol., 2021

On Learning Semantic Representations for Large-Scale Abstract Sketches.

Peng Xu, Yongye Huang, Tongtong Yuan, Tao Xiang, Timothy M. Hospedales, Yi-Zhe Song, Liang Wang

IEEE Trans. Circuits Syst. Video Technol., 2021

2020

On Learning Semantic Representations for Million-Scale Free-Hand Sketches.

Peng Xu, Yongye Huang, Tongtong Yuan, Tao Xiang, Timothy M. Hospedales, Yi-Zhe Song, Liang Wang

CoRR, 2020

2019

Multi-Graph Transformer for Free-Hand Sketch Recognition.

Peng Xu, Chaitanya K. Joshi, Xavier Bresson

CoRR, 2019

Deep Zero-Shot Learning for Scene Sketch.

Yao Xie, Peng Xu, Zhanyu Ma

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018

Cross-modal subspace learning for fine-grained sketch-based image retrieval.

Peng Xu, Qiyue Yin, Yongye Huang, Yi-Zhe Song, Zhanyu Ma, Liang Wang, Tao Xiang, W. Bastiaan Kleijn, Jun Guo

Neurocomputing, 2018

SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval.

Peng Xu, Yongye Huang, Tongtong Yuan, Kaiyue Pang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Zhanyu Ma, Jun Guo

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2016

Cross-modal subspace learning for sketch-based image retrieval: A comparative study.

Peng Xu, Ke Li, Zhanyu Ma, Yi-Zhe Song, Liang Wang, Jun Guo

Proceedings of the IEEE International Conference on Network Infrastructure and Digital Content, 2016

Instance-Level Coupled Subspace Learning for Fine-Grained Sketch-Based Image Retrieval.

Peng Xu, Qiyue Yin, Yonggang Qi, Yi-Zhe Song, Zhanyu Ma, Liang Wang, Jun Guo

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016