Xiatian Zhu

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Samsung AI Centre

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He was a postdoctoral researcher at Queen Mary University of London and Vision Semantics Limited. His research interests include computer vision and machine learning.

Papers82 papers

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Unsupervised Noisy Tracklet Person Re-identification

Minxian Li,Xiatian Zhu,Shaogang Gong

Bibtex

Inter-Task Association Critic for Cross-Resolution Person Re-Identification

Zhiyi Cheng,Qi Dong,Shaogang Gong,Xiatian Zhu

CVPR, pp.2602-2612, (2020)

Cited by1EIBibtex

Boundary-sensitive Pre-training for Temporal Localization in Videos

Mengmeng Xu, Juan-Manuel Perez-Rua,Victor Escorcia, Brais Martinez,Xiatian Zhu,Bernard Ghanem, Tao Xiang

Bibtex

Egocentric Action Recognition by Video Attention and Temporal Context

Juan-Manuel Perez-Rua,Antoine Toisoul, Brais Martinez, Victor Escorcia, Li Zhang,Xiatian Zhu, Tao Xiang

Bibtex

Scalable logo detection by self co-learning

Hang Su,Shaogang Gong,Xiatian Zhu

Pattern Recognition, (2020): 107003

Cited by1EIBibtex

Face Re-Identification Challenge: Are Face Recognition Models Good Enough

Zhiyi Cheng,Xiatian Zhu,Shaogang Gong

Pattern Recognit., (2020): 107422

EIBibtex

Stochastic Classifiers for Unsupervised Domain Adaptation

Zhihe Lu,Yongxin Yang,Xiatian Zhu, Cong Liu,Yi-Zhe Song,Tao Xiang

CVPR, pp.9108-9117, (2020)

EIBibtex

Deep Semantic Clustering by Partition Confidence Maximisation

Jiabo Huang,Shaogang Gong,Xiatian Zhu

CVPR, pp.8846-8855, (2020)

EIBibtex

Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

Sixiao Zheng, Jiachen Lu, Hengshuang Zhao,Xiatian Zhu, Zekun Luo, Yabiao Wang,Yanwei Fu, Jianfeng Feng, Tao Xiang,Philip H. S. Torr,Li Zhang

Bibtex

Unsupervised Deep Learning via Affinity Diffusion

Jiabo Huang,Qi Dong,Shaogang Gong,Xiatian Zhu

AAAI, pp.11029-11036, (2020)

Cited by2EIBibtex

Knowing What, Where and When to Look: Efficient Video Action Modeling with Attention

Perez-Rua Juan-Manuel, Martinez Brais,Zhu Xiatian,Toisoul Antoine, Escorcia Victor,Xiang Tao

Bibtex

Joint COCO and Mapillary Workshop at ICCV 2019 Keypoint Detection Challenge Track Technical Report: Distribution-Aware Coordinate Representation for Human Pose Estimation

Dai Hanbin, Zhou Liangbo,Zhang Feng, Zhang Zhengyu, Hu Hong,Zhu Xiatian, Ye Mao

Bibtex

Incremental Few-Shot Object Detection

Perez-Rua Juan-Manuel,Zhu Xiatian,Hospedales Timothy,Xiang Tao

CVPR, pp.13843-13852, (2020)

Cited by1EIBibtex

Intra-Camera Supervised Person Re-Identification

Zhu Xiangping,Zhu Xiatian, Li Minxian,Morerio Pietro,Murino Vittorio,Gong Shaogang

Bibtex

Semi-Supervised Learning under Class Distribution Mismatch

Yanbei Chen,Xiatian Zhu,Wei Li,Shaogang Gong

national conference on artificial intelligence, (2020)

Cited by22Bibtex

Neural Graph Embedding for Neural Architecture Search

Wei Li,Shaogang Gong,Xiatian Zhu

national conference on artificial intelligence, (2020)

Cited by1Bibtex

Tracklet Self-Supervised Learning for Unsupervised Person Re-Identification

Guile Wu,Xiatian Zhu,Shaogang Gong

AAAI, pp.12362-12369, (2020)

Cited by9EIBibtex

Universal Person Re-Identification

Lan Xu,Zhu Xiatian,Gong Shaogang

Bibtex

Intra-Camera Supervised Person Re-Identification - A New Benchmark

Xiangping Zhu,Xiatian Zhu, Minxian Li,Vittorio Murino,Shaogang Gong

ICCV Workshops, pp.1079-1087, (2019)

EIBibtex

Person Search by Text Attribute Query As Zero-Shot Learning

Qi Dong,Xiatian Zhu,Shaogang Gong

ICCV, pp.3651-3660, (2019)

EIBibtex

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Xiatian ZhuBinding

Papers82 papers

Xiatian Zhu