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ORCIDTao Xiang 0002
Person information
- affiliation: University of Surrey, Computer Vision and Machine Learning at the Centre for Vision Speech and Signal Processing, Guildford, GB
Other persons with the same name
- Tao Xiang — disambiguation page
- Tao Xiang 0001
![[0000-0002-9439-4623]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-9439-4623")
— Chongqing University, College of Computer Science, Chongqing, China - Tao Xiang 0003 — Technical University of Munich, Munich, Germany
- Tao Xiang 0004 — Queen Mary University of London, London, UK
- Tao Xiang 0005 — University of Surrey, Guildford, UK
- Tao Xiang 0006 — Southwest China Institute of Electronic Technology, CETC Key Laboratory of Avionics Information System Technology, Chengdu, China (and 1 more)
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2020 – today
- 2024
[j59]Kaiyang Zhou, Yongxin Yang, Yu Qiao, Tao Xiang:
MixStyle Neural Networks for Domain Generalization and Adaptation. Int. J. Comput. Vis. 132(3): 822-836 (2024)- [i135]Subhadeep Koley, Ayan Kumar Bhunia, Aneeshan Sain, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song:
How to Handle Sketch-Abstraction in Sketch-Based Image Retrieval? CoRR abs/2403.07203 (2024) - [i134]Subhadeep Koley, Ayan Kumar Bhunia, Aneeshan Sain, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song:
Text-to-Image Diffusion Models are Great Sketch-Photo Matchmakers. CoRR abs/2403.07214 (2024) - [i133]Subhadeep Koley, Ayan Kumar Bhunia, Aneeshan Sain, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song:
You'll Never Walk Alone: A Sketch and Text Duet for Fine-Grained Image Retrieval. CoRR abs/2403.07222 (2024) - [i132]Subhadeep Koley, Ayan Kumar Bhunia, Deeptanshu Sekhri, Aneeshan Sain, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song:
It's All About Your Sketch: Democratising Sketch Control in Diffusion Models. CoRR abs/2403.07234 (2024) - [i131]Hmrishav Bandyopadhyay, Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Aneeshan Sain, Tao Xiang, Timothy M. Hospedales, Yi-Zhe Song:
SketchINR: A First Look into Sketches as Implicit Neural Representations. CoRR abs/2403.09344 (2024) - [i130]Hmrishav Bandyopadhyay, Pinaki Nath Chowdhury, Ayan Kumar Bhunia, Aneeshan Sain, Tao Xiang, Yi-Zhe Song:
What Sketch Explainability Really Means for Downstream Tasks. CoRR abs/2403.09480 (2024) - 2023
- [j58]Peng Xu, Timothy M. Hospedales, Qiyue Yin, Yi-Zhe Song, Tao Xiang, Liang Wang:
Deep Learning for Free-Hand Sketch: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 285-312 (2023) - [j57]Kaiyang Zhou, Ziwei Liu, Yu Qiao, Tao Xiang, Chen Change Loy:
Domain Generalization: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4396-4415 (2023) - [j56]Zhihe Lu, Sen He, Da Li, Yi-Zhe Song, Tao Xiang:
Prediction Calibration for Generalized Few-Shot Semantic Segmentation. IEEE Trans. Image Process. 32: 3311-3323 (2023) - [j55]Zhihe Lu, Da Li, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales:
Uncertainty-Aware Source-Free Domain Adaptive Semantic Segmentation. IEEE Trans. Image Process. 32: 4664-4676 (2023) - [c180]Kam Woh Ng, Xiatian Zhu, Jiun Tian Hoe, Chee Seng Chan, Tianyu Zhang, Yi-Zhe Song, Tao Xiang:
Unsupervised Hashing with Similarity Distribution Calibration. BMVC 2023: 53-69 - [c179]Zhiyu Qu, Tao Xiang, Yi-Zhe Song:
SketchDreamer: Interactive Text-Augmented Creative Sketch Ideation. BMVC 2023: 95-97 - [c178]Xiao Han, Xiatian Zhu, Licheng Yu, Li Zhang, Yi-Zhe Song, Tao Xiang:
FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion Tasks. CVPR 2023: 2669-2680 - [c177]Ayan Kumar Bhunia, Subhadeep Koley, Amandeep Kumar, Aneeshan Sain, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song:
Sketch2Saliency: Learning to Detect Salient Objects from Human Drawings. CVPR 2023: 2733-2743 - [c176]Aneeshan Sain, Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Subhadeep Koley, Tao Xiang, Yi-Zhe Song:
CLIP for All Things Zero-Shot Sketch-Based Image Retrieval, Fine-Grained or Not. CVPR 2023: 2765-2775 - [c175]Subhadeep Koley, Ayan Kumar Bhunia, Aneeshan Sain, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song:
Picture that Sketch: Photorealistic Image Generation from Abstract Sketches. CVPR 2023: 6850-6861 - [c174]Aneeshan Sain, Ayan Kumar Bhunia, Subhadeep Koley, Pinaki Nath Chowdhury, Soumitri Chattopadhyay, Tao Xiang, Yi-Zhe Song:
Exploiting Unlabelled Photos for Stronger Fine-Grained SBIR. CVPR 2023: 6873-6883 - [c173]Pinaki Nath Chowdhury, Ayan Kumar Bhunia, Aneeshan Sain, Subhadeep Koley, Tao Xiang, Yi-Zhe Song:
SceneTrilogy: On Human Scene-Sketch and its Complementarity with Photo and Text. CVPR 2023: 10972-10983 - [c172]Pinaki Nath Chowdhury, Ayan Kumar Bhunia, Aneeshan Sain, Subhadeep Koley, Tao Xiang, Yi-Zhe Song:
What Can Human Sketches Do for Object Detection? CVPR 2023: 15083-15094 - [c171]Sauradip Nag, Xiatian Zhu, Yi-Zhe Song, Tao Xiang:
Post-Processing Temporal Action Detection. CVPR 2023: 18837-18845 - [c170]Zhiyu Qu, Yulia Gryaditskaya, Ke Li, Kaiyue Pang, Tao Xiang, Yi-Zhe Song:
SketchXAI: A First Look at Explainability for Human Sketches. CVPR 2023: 23327-23337 - [c169]Ling Luo, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song, Yulia Gryaditskaya:
3D VR Sketch Guided 3D Shape Prototyping and Exploration. ICCV 2023: 9233-9242 - [c168]Sauradip Nag, Xiatian Zhu, Jiankang Deng, Yi-Zhe Song, Tao Xiang:
DiffTAD: Temporal Action Detection with Proposal Denoising Diffusion. ICCV 2023: 10328-10340 - [c167]Xiao Han, Xiatian Zhu, Jiankang Deng, Yi-Zhe Song, Tao Xiang:
Controllable Person Image Synthesis with Pose-Constrained Latent Diffusion. ICCV 2023: 22711-22720 - [c166]Pinaki Nath Chowdhury, Ayan Kumar Bhunia, Aneeshan Sain, Subhadeep Koley, Tao Xiang, Yi-Zhe Song:
Democratising 2D Sketch to 3D Shape Retrieval Through Pivoting. ICCV 2023: 23218-23229 - [c165]Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song:
ChiroDiff: Modelling chirographic data with Diffusion Models. ICLR 2023 - [c164]Xiao Han, Yukang Cao, Kai Han, Xiatian Zhu, Jiankang Deng, Yi-Zhe Song, Tao Xiang, Kwan-Yee K. Wong:
HeadSculpt: Crafting 3D Head Avatars with Text. NeurIPS 2023 - [i129]Kam Woh Ng, Xiatian Zhu, Jiun Tian Hoe, Chee Seng Chan, Tianyu Zhang, Yi-Zhe Song, Tao Xiang:
Unsupervised Hashing via Similarity Distribution Calibration. CoRR abs/2302.07669 (2023) - [i128]Xiao Han, Xiatian Zhu, Licheng Yu, Li Zhang, Yi-Zhe Song, Tao Xiang:
FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion Tasks. CoRR abs/2303.02483 (2023) - [i127]Zhongying Deng, Da Li, Junjun He, Yi-Zhe Song, Tao Xiang:
Generative Model Based Noise Robust Training for Unsupervised Domain Adaptation. CoRR abs/2303.05734 (2023) - [i126]Subhadeep Koley, Ayan Kumar Bhunia, Aneeshan Sain, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song:
Picture that Sketch: Photorealistic Image Generation from Abstract Sketches. CoRR abs/2303.11162 (2023) - [i125]Ayan Kumar Bhunia, Subhadeep Koley, Amandeep Kumar, Aneeshan Sain, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song:
Sketch2Saliency: Learning to Detect Salient Objects from Human Drawings. CoRR abs/2303.11502 (2023) - [i124]Aneeshan Sain, Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Subhadeep Koley, Tao Xiang, Yi-Zhe Song:
CLIP for All Things Zero-Shot Sketch-Based Image Retrieval, Fine-Grained or Not. CoRR abs/2303.13440 (2023) - [i123]Aneeshan Sain, Ayan Kumar Bhunia, Subhadeep Koley, Pinaki Nath Chowdhury, Soumitri Chattopadhyay, Tao Xiang, Yi-Zhe Song:
Exploiting Unlabelled Photos for Stronger Fine-Grained SBIR. CoRR abs/2303.13779 (2023) - [i122]Sauradip Nag, Xiatian Zhu, Jiankang Deng, Yi-Zhe Song, Tao Xiang:
DiffTAD: Temporal Action Detection with Proposal Denoising Diffusion. CoRR abs/2303.14863 (2023) - [i121]Pinaki Nath Chowdhury, Ayan Kumar Bhunia, Aneeshan Sain, Subhadeep Koley, Tao Xiang, Yi-Zhe Song:
What Can Human Sketches Do for Object Detection? CoRR abs/2303.15149 (2023) - [i120]Aiyu Cui, Sen He, Tao Xiang, Antoine Toisoul:
Learning Garment DensePose for Robust Warping in Virtual Try-On. CoRR abs/2303.17688 (2023) - [i119]Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song:
ChiroDiff: Modelling chirographic data with Diffusion Models. CoRR abs/2304.03785 (2023) - [i118]Zhiyu Qu, Yulia Gryaditskaya, Ke Li, Kaiyue Pang, Tao Xiang, Yi-Zhe Song:
SketchXAI: A First Look at Explainability for Human Sketches. CoRR abs/2304.11744 (2023) - [i117]Xiao Han, Yukang Cao, Kai Han, Xiatian Zhu, Jiankang Deng, Yi-Zhe Song, Tao Xiang, Kwan-Yee K. Wong:
HeadSculpt: Crafting 3D Head Avatars with Text. CoRR abs/2306.03038 (2023) - [i116]Ling Luo, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song, Yulia Gryaditskaya:
3D VR Sketch Guided 3D Shape Prototyping and Exploration. CoRR abs/2306.10830 (2023) - [i115]Zhiyu Qu, Tao Xiang, Yi-Zhe Song:
SketchDreamer: Interactive Text-Augmented Creative Sketch Ideation. CoRR abs/2308.14191 (2023) - [i114]Yuren Cong, Mengmeng Xu, Christian Simon, Shoufa Chen, Jiawei Ren, Yanping Xie, Juan-Manuel Pérez-Rúa, Bodo Rosenhahn, Tao Xiang, Sen He:
FLATTEN: optical FLow-guided ATTENtion for consistent text-to-video editing. CoRR abs/2310.05922 (2023) - [i113]Zhiyu Qu, Lan Yang, Honggang Zhang, Tao Xiang, Kaiyue Pang, Yi-Zhe Song:
Wired Perspectives: Multi-View Wire Art Embraces Generative AI. CoRR abs/2311.15421 (2023) - [i112]Kam Woh Ng, Xiatian Zhu, Yi-Zhe Song, Tao Xiang:
DreamCreature: Crafting Photorealistic Virtual Creatures from Imagination. CoRR abs/2311.15477 (2023) - [i111]Hmrishav Bandyopadhyay, Subhadeep Koley, Ayan Das, Aneeshan Sain, Pinaki Nath Chowdhury, Tao Xiang, Ayan Kumar Bhunia, Yi-Zhe Song:
Doodle Your 3D: From Abstract Freehand Sketches to Precise 3D Shapes. CoRR abs/2312.04043 (2023) - [i110]Dar-Yen Chen, Subhadeep Koley, Aneeshan Sain, Pinaki Nath Chowdhury, Tao Xiang, Ayan Kumar Bhunia, Yi-Zhe Song:
DemoCaricature: Democratising Caricature Generation with a Rough Sketch. CoRR abs/2312.04364 (2023) - [i109]Shoufa Chen, Mengmeng Xu, Jiawei Ren, Yuren Cong, Sen He, Yanping Xie, Animesh Sinha, Ping Luo, Tao Xiang, Juan-Manuel Pérez-Rúa:
GenTron: Delving Deep into Diffusion Transformers for Image and Video Generation. CoRR abs/2312.04557 (2023) - [i108]Christian Simon, Sen He, Juan-Manuel Pérez-Rúa, Mengmeng Xu, Amine Benhalloum, Tao Xiang:
Hyper-VolTran: Fast and Generalizable One-Shot Image to 3D Object Structure via HyperNetworks. CoRR abs/2312.16218 (2023) - 2022
- [j54]Mang Ye, Jianbing Shen, Gaojie Lin, Tao Xiang, Ling Shao, Steven C. H. Hoi:
Deep Learning for Person Re-Identification: A Survey and Outlook. IEEE Trans. Pattern Anal. Mach. Intell. 44(6): 2872-2893 (2022) - [j53]Kaiyang Zhou, Yongxin Yang, Andrea Cavallaro, Tao Xiang:
Learning Generalisable Omni-Scale Representations for Person Re-Identification. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5056-5069 (2022) - [j52]Anran Qi, Yulia Gryaditskaya, Tao Xiang, Yi-Zhe Song:
One Sketch for All: One-Shot Personalized Sketch Segmentation. IEEE Trans. Image Process. 31: 2673-2682 (2022) - [j51]Zhongying Deng, Kaiyang Zhou, Da Li, Junjun He, Yi-Zhe Song, Tao Xiang:
Dynamic Instance Domain Adaptation. IEEE Trans. Image Process. 31: 4585-4597 (2022) - [c163]Ling Luo, Yulia Gryaditskaya, Tao Xiang, Yi-Zhe Song:
Structure-Aware 3D VR Sketch to 3D Shape Retrieval. 3DV 2022: 383-392 - [c162]Tianyuan Yu, Sen He, Yi-Zhe Song, Tao Xiang:
Hybrid Graph Neural Networks for Few-Shot Learning. AAAI 2022: 3179-3187 - [c161]Zhongying Deng, Da Li, Yi-Zhe Song, Tao Xiang:
Robust Target Training for Multi-Source Domain Adaptation. BMVC 2022: 778 - [c160]Tingwei Wang, Da Li, Kaiyang Zhou, Tao Xiang, Yi-Zhe Song:
Learning to Augment via Implicit Differentiation for Domain Generalization. BMVC 2022: 888 - [c159]Ayan Kumar Bhunia, Subhadeep Koley, Abdullah Faiz Ur Rahman Khilji, Aneeshan Sain, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song:
Sketching without Worrying: Noise-Tolerant Sketch-Based Image Retrieval. CVPR 2022: 989-998 - [c158]Xiao Han, Sen He, Li Zhang, Yi-Zhe Song, Tao Xiang:
UIGR: Unified Interactive Garment Retrieval. CVPR Workshops 2022: 2219-2224 - [c157]Ayan Kumar Bhunia, Viswanatha Reddy Gajjala, Subhadeep Koley, Rohit Kundu, Aneeshan Sain, Tao Xiang, Yi-Zhe Song:
Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches. CVPR 2022: 2283-2292 - [c156]Pinaki Nath Chowdhury, Ayan Kumar Bhunia, Viswanatha Reddy Gajjala, Aneeshan Sain, Tao Xiang, Yi-Zhe Song:
Partially Does It: Towards Scene-Level FG-SBIR with Partial Input. CVPR 2022: 2385-2395 - [c155]Sen He, Yi-Zhe Song, Tao Xiang:
Style-Based Global Appearance Flow for Virtual Try-On. CVPR 2022: 3460-3469 - [c154]Aneeshan Sain, Ayan Kumar Bhunia, Vaishnav Potlapalli, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song:
Sketch3T: Test-Time Training for Zero-Shot SBIR. CVPR 2022: 7452-7461 - [c153]Ayan Kumar Bhunia, Aneeshan Sain, Parth Hiren Shah, Animesh Gupta, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song:
Adaptive Fine-Grained Sketch-Based Image Retrieval. ECCV (37) 2022: 163-181 - [c152]Pinaki Nath Chowdhury, Aneeshan Sain, Ayan Kumar Bhunia, Tao Xiang, Yulia Gryaditskaya, Yi-Zhe Song:
FS-COCO: Towards Understanding of Freehand Sketches of Common Objects in Context. ECCV (8) 2022: 253-270 - [c151]Xiao Han, Licheng Yu, Xiatian Zhu, Li Zhang, Yi-Zhe Song, Tao Xiang:
FashionViL: Fashion-Focused Vision-and-Language Representation Learning. ECCV (35) 2022: 634-651 - [c150]Sauradip Nag, Xiatian Zhu, Yi-Zhe Song, Tao Xiang:
Proposal-Free Temporal Action Detection via Global Segmentation Mask Learning. ECCV (3) 2022: 645-662 - [c149]Sauradip Nag, Xiatian Zhu, Yi-Zhe Song, Tao Xiang:
Semi-supervised Temporal Action Detection with Proposal-Free Masking. ECCV (3) 2022: 663-680 - [c148]Sauradip Nag, Xiatian Zhu, Yi-Zhe Song, Tao Xiang:
Zero-Shot Temporal Action Detection via Vision-Language Prompting. ECCV (3) 2022: 681-697 - [c147]Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song:
SketchODE: Learning neural sketch representation in continuous time. ICLR 2022 - [i107]Pinaki Nath Chowdhury, Aneeshan Sain, Yulia Gryaditskaya, Ayan Kumar Bhunia, Tao Xiang, Yi-Zhe Song:
FS-COCO: Towards Understanding of Freehand Sketches of Common Objects in Context. CoRR abs/2203.02113 (2022) - [i106]Zhongying Deng, Kaiyang Zhou, Da Li, Junjun He, Yi-Zhe Song, Tao Xiang:
Dynamic Instance Domain Adaptation. CoRR abs/2203.05028 (2022) - [i105]Aneeshan Sain, Ayan Kumar Bhunia, Vaishnav Potlapalli, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song:
Sketch3T: Test-Time Training for Zero-Shot SBIR. CoRR abs/2203.14691 (2022) - [i104]Pinaki Nath Chowdhury, Ayan Kumar Bhunia, Viswanatha Reddy Gajjala, Aneeshan Sain, Tao Xiang, Yi-Zhe Song:
Partially Does It: Towards Scene-Level FG-SBIR with Partial Input. CoRR abs/2203.14804 (2022) - [i103]Ayan Kumar Bhunia, Subhadeep Koley, Abdullah Faiz Ur Rahman Khilji, Aneeshan Sain, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song:
Sketching without Worrying: Noise-Tolerant Sketch-Based Image Retrieval. CoRR abs/2203.14817 (2022) - [i102]Ayan Kumar Bhunia, Gajjala Viswanatha Reddy, Subhadeep Koley, Rohit Kundu, Aneeshan Sain, Tao Xiang, Yi-Zhe Song:
Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches. CoRR abs/2203.14843 (2022) - [i101]Sen He, Yi-Zhe Song, Tao Xiang:
Style-Based Global Appearance Flow for Virtual Try-On. CoRR abs/2204.01046 (2022) - [i100]Xiao Han, Sen He, Li Zhang, Yi-Zhe Song, Tao Xiang:
UIGR: Unified Interactive Garment Retrieval. CoRR abs/2204.03111 (2022) - [i99]Pinaki Nath Chowdhury, Ayan Kumar Bhunia, Tao Xiang, Yi-Zhe Song:
SceneTrilogy: On Scene Sketches and its Relationship with Text and Photo. CoRR abs/2204.11964 (2022) - [i98]Ayan Kumar Bhunia, Aneeshan Sain, Parth Shah, Animesh Gupta, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song:
Adaptive Fine-Grained Sketch-Based Image Retrieval. CoRR abs/2207.01723 (2022) - [i97]Sauradip Nag, Xiatian Zhu, Yi-Zhe Song, Tao Xiang:
Temporal Action Detection with Global Segmentation Mask Learning. CoRR abs/2207.06580 (2022) - [i96]Sauradip Nag, Xiatian Zhu, Yi-Zhe Song, Tao Xiang:
Semi-Supervised Temporal Action Detection with Proposal-Free Masking. CoRR abs/2207.07059 (2022) - [i95]Xiao Han, Licheng Yu, Xiatian Zhu, Li Zhang, Yi-Zhe Song, Tao Xiang:
FashionViL: Fashion-Focused Vision-and-Language Representation Learning. CoRR abs/2207.08150 (2022) - [i94]Sauradip Nag, Xiatian Zhu, Yi-Zhe Song, Tao Xiang:
Zero-Shot Temporal Action Detection via Vision-Language Prompting. CoRR abs/2207.08184 (2022) - [i93]Li Zhang, Sixiao Zheng, Jiachen Lu, Xinxuan Zhao, Xiatian Zhu, Yanwei Fu, Tao Xiang, Jianfeng Feng:
Visual Representation Learning with Transformer: A Sequence-to-Sequence Perspective. CoRR abs/2207.09339 (2022) - [i92]Ling Luo, Yulia Gryaditskaya, Tao Xiang, Yi-Zhe Song:
Structure-Aware 3D VR Sketch to 3D Shape Retrieval. CoRR abs/2209.09043 (2022) - [i91]Ling Luo, Yulia Gryaditskaya, Yongxin Yang, Tao Xiang, Yi-Zhe Song:
Fine-Grained VR Sketching: Dataset and Insights. CoRR abs/2209.10008 (2022) - [i90]Ling Luo, Yulia Gryaditskaya, Yongxin Yang, Tao Xiang, Yi-Zhe Song:
Towards 3D VR-Sketch to 3D Shape Retrieval. CoRR abs/2209.10020 (2022) - [i89]Zhongying Deng, Da Li, Yi-Zhe Song, Tao Xiang:
Robust Target Training for Multi-Source Domain Adaptation. CoRR abs/2210.01676 (2022) - [i88]Zhihe Lu, Sen He, Da Li, Yi-Zhe Song, Tao Xiang:
Prediction Calibration for Generalized Few-shot Semantic Segmentation. CoRR abs/2210.08290 (2022) - [i87]Tingwei Wang, Da Li, Kaiyang Zhou, Tao Xiang, Yi-Zhe Song:
Learning to Augment via Implicit Differentiation for Domain Generalization. CoRR abs/2210.14271 (2022) - [i86]Sen He, Yi-Zhe Song, Tao Xiang:
Single Stage Multi-Pose Virtual Try-On. CoRR abs/2211.10715 (2022) - [i85]Sauradip Nag, Mengmeng Xu, Xiatian Zhu, Juan-Manuel Pérez-Rúa, Bernard Ghanem, Yi-Zhe Song, Tao Xiang:
Multi-Modal Few-Shot Temporal Action Detection via Vision-Language Meta-Adaptation. CoRR abs/2211.14905 (2022) - [i84]Sauradip Nag, Xiatian Zhu, Yi-Zhe Song, Tao Xiang:
Post-Processing Temporal Action Detection. CoRR abs/2211.14924 (2022) - 2021
- [j50]Qian Yu, Jifei Song, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales:
Fine-Grained Instance-Level Sketch-Based Image Retrieval. Int. J. Comput. Vis. 129(2): 484-500 (2021) - [j49]Jiechao Guan, Zhiwu Lu, Tao Xiang, Aoxue Li, An Zhao, Ji-Rong Wen:
Zero and Few Shot Learning With Semantic Feature Synthesis and Competitive Learning. IEEE Trans. Pattern Anal. Mach. Intell. 43(7): 2510-2523 (2021) - [j48]Peng Xu, Kun Liu, Tao Xiang, Timothy M. Hospedales, Zhanyu Ma, Jun Guo, Yi-Zhe Song:
Fine-Grained Instance-Level Sketch-Based Video Retrieval. IEEE Trans. Circuits Syst. Video Technol. 31(5): 1995-2007 (2021) - [j47]Peng Xu, Yongye Huang, Tongtong Yuan, Tao Xiang, Timothy M. Hospedales, Yi-Zhe Song, Liang Wang:
On Learning Semantic Representations for Large-Scale Abstract Sketches. IEEE Trans. Circuits Syst. Video Technol. 31(9): 3366-3379 (2021) - [j46]Xiangtai Li, Li Zhang, Guangliang Cheng, Kuiyuan Yang, Yunhai Tong, Xiatian Zhu, Tao Xiang:
Global Aggregation Then Local Distribution for Scene Parsing. IEEE Trans. Image Process. 30: 6829-6842 (2021) - [j45]Kaiyang Zhou, Yongxin Yang, Yu Qiao, Tao Xiang:
Domain Adaptive Ensemble Learning. IEEE Trans. Image Process. 30: 8008-8018 (2021) - [j44]Anran Qi, Yulia Gryaditskaya, Jifei Song, Yongxin Yang, Yonggang Qi, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song:
Toward Fine-Grained Sketch-Based 3D Shape Retrieval. IEEE Trans. Image Process. 30: 8595-8606 (2021) - [c146]Ling Luo, Yulia Gryaditskaya, Yongxin Yang, Tao Xiang, Yi-Zhe Song:
Fine-Grained VR Sketching: Dataset and Insights. 3DV 2021: 1003-1013 - [c145]Yao Lu, Xiaoli Xu, Mingyu Ding, Zhiwu Lu, Tao Xiang:
A Global Occlusion-Aware Approach to Self-Supervised Monocular Visual Odometry. AAAI 2021: 2260-2268 - [c144]Tianyuan Yu, Yongxin Yang, Da Li, Timothy M. Hospedales, Tao Xiang:
Simple and Effective Stochastic Neural Networks. AAAI 2021: 3252-3260 - [c143]Zhongying Deng, Kaiyang Zhou, Yongxin Yang, Tao Xiang:
Domain Attention Consistency for Multi-Source Domain Adaptation. BMVC 2021: 4 - [c142]Xiao Han, Sen He, Li Zhang, Tao Xiang:
Text-Based Person Search with Limited Data. BMVC 2021: 337 - [c141]Guoxing Yang, Nanyi Fei, Mingyu Ding, Guangzhen Liu, Zhiwu Lu, Tao Xiang:
L2M-GAN: Learning To Manipulate Latent Space Semantics for Facial Attribute Editing. CVPR 2021: 2951-2960 - [c140]Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Aneeshan Sain, Yongxin Yang, Tao Xiang, Yi-Zhe Song:
More Photos Are All You Need: Semi-Supervised Learning for Fine-Grained Sketch Based Image Retrieval. CVPR 2021: 4247-4256 - [c139]Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song:
Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting. CVPR 2021: 5672-5681 - [c138]Sixiao Zheng, Jiachen Lu, Hengshuang Zhao, Xiatian Zhu, Zekun Luo, Yabiao Wang, Yanwei Fu, Jianfeng Feng, Tao Xiang, Philip H. S. Torr, Li Zhang:
Rethinking Semantic Segmentation From a Sequence-to-Sequence Perspective With Transformers. CVPR 2021: 6881-6890 - [c137]Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song:
Cloud2Curve: Generation and Vectorization of Parametric Sketches. CVPR 2021: 7088-7097 - [c136]Aneeshan Sain, Ayan Kumar Bhunia, Yongxin Yang, Tao Xiang, Yi-Zhe Song:
StyleMeUp: Towards Style-Agnostic Sketch-Based Image Retrieval. CVPR 2021: 8504-8513 - [c135]Sen He, Wentong Liao, Michael Ying Yang, Yongxin Yang, Yi-Zhe Song, Bodo Rosenhahn, Tao Xiang:
Context-Aware Layout to Image Generation With Enhanced Object Appearance. CVPR 2021: 15049-15058 - [c134]Nanyi Fei, Yizhao Gao, Zhiwu Lu, Tao Xiang:
Z-Score Normalization, Hubness, and Few-Shot Learning. ICCV 2021: 142-151 - [c133]Sen He, Wentong Liao, Michael Ying Yang, Yi-Zhe Song, Bodo Rosenhahn, Tao Xiang:
Disentangled Lifespan Face Synthesis. ICCV 2021: 3857-3866 - [c132]Zhihe Lu, Sen He, Xiatian Zhu, Li Zhang, Yi-Zhe Song, Tao Xiang:
Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer. ICCV 2021: 8721-8730 - [c131]Nanyi Fei, Zhiwu Lu, Tao Xiang, Songfang Huang:
MELR: Meta-Learning via Modeling Episode-Level Relationships for Few-Shot Learning. ICLR 2021 - [c130]Manli Zhang, Jianhong Zhang, Zhiwu Lu, Tao Xiang, Mingyu Ding, Songfang Huang:
IEPT: Instance-Level and Episode-Level Pretext Tasks for Few-Shot Learning. ICLR 2021 - [c129]Kaiyang Zhou, Yongxin Yang, Yu Qiao, Tao Xiang:
Domain Generalization with MixStyle. ICLR 2021 - [c128]Yuqi Huo, Mingyu Ding, Haoyu Lu, Ziyuan Huang, Mingqian Tang, Zhiwu Lu, Tao Xiang:
Self-Supervised Video Representation Learning with Constrained Spatiotemporal Jigsaw. IJCAI 2021: 751-757 - [c127]Jiun Tian Hoe, Kam Woh Ng, Tianyu Zhang, Chee Seng Chan, Yi-Zhe Song, Tao Xiang:
One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective. NeurIPS 2021: 24286-24298 - [c126]Yizhao Gao, Nanyi Fei, Guangzhen Liu, Zhiwu Lu, Tao Xiang:
Contrastive prototype learning with augmented embeddings for few-shot learning. UAI 2021: 140-150 - [c125]An Zhao, Mingyu Ding, Zhiwu Lu, Tao Xiang, Yulei Niu, Jiechao Guan, Ji-Rong Wen:
Domain-Adaptive Few-Shot Learning. WACV 2021: 1389-1398 - [c124]Xiaoli Xu, Yao Lu, Zhiwu Lu, Tao Xiang:
Vid2Int: Detecting Implicit Intention from Long Dialog Videos. WACV 2021: 3298-3307 - [c123]Jianhong Zhang, Manli Zhang, Zhiwu Lu, Tao Xiang:
AdarGCN: Adaptive Aggregation GCN for Few-Shot Learning. WACV 2021: 3481-3490 - [i83]Yizhao Gao, Nanyi Fei, Guangzhen Liu, Zhiwu Lu, Tao Xiang, Songfang Huang:
Contrastive Prototype Learning with Augmented Embeddings for Few-Shot Learning. CoRR abs/2101.09499 (2021) - [i82]Kaiyang Zhou, Ziwei Liu, Yu Qiao, Tao Xiang, Chen Change Loy:
Domain Generalization: A Survey. CoRR abs/2103.02503 (2021) - [i81]Sen He, Wentong Liao, Michael Ying Yang, Yongxin Yang, Yi-Zhe Song, Bodo Rosenhahn, Tao Xiang:
Context-Aware Layout to Image Generation with Enhanced Object Appearance. CoRR abs/2103.11897 (2021) - [i80]Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song:
Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting. CoRR abs/2103.13716 (2021) - [i79]Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Aneeshan Sain, Yongxin Yang, Tao Xiang, Yi-Zhe Song:
More Photos are All You Need: Semi-Supervised Learning for Fine-Grained Sketch Based Image Retrieval. CoRR abs/2103.13990 (2021) - [i78]Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song:
Cloud2Curve: Generation and Vectorization of Parametric Sketches. CoRR abs/2103.15536 (2021) - [i77]Aneeshan Sain, Ayan Kumar Bhunia, Yongxin Yang, Tao Xiang, Yi-Zhe Song:
StyleMeUp: Towards Style-Agnostic Sketch-Based Image Retrieval. CoRR abs/2103.15706 (2021) - [i76]Kaiyang Zhou, Yongxin Yang, Yu Qiao, Tao Xiang:
Domain Generalization with MixStyle. CoRR abs/2104.02008 (2021) - [i75]Kaiyang Zhou, Yongxin Yang, Yu Qiao, Tao Xiang:
MixStyle Neural Networks for Domain Generalization and Adaptation. CoRR abs/2107.02053 (2021) - [i74]Xiangtai Li, Li Zhang, Guangliang Cheng, Kuiyuan Yang, Yunhai Tong, Xiatian Zhu, Tao Xiang:
Global Aggregation then Local Distribution for Scene Parsing. CoRR abs/2107.13154 (2021) - [i73]Sen He, Wentong Liao, Michael Ying Yang, Yi-Zhe Song, Bodo Rosenhahn, Tao Xiang:
Disentangled Lifespan Face Synthesis. CoRR abs/2108.02874 (2021) - [i72]Zhihe Lu, Sen He, Xiatian Zhu, Li Zhang, Yi-Zhe Song, Tao Xiang:
Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer. CoRR abs/2108.03032 (2021) - [i71]Jiun Tian Hoe, Kam Woh Ng, Tianyu Zhang, Chee Seng Chan, Yi-Zhe Song, Tao Xiang:
One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective. CoRR abs/2109.14449 (2021) - [i70]Xiao Han, Sen He, Li Zhang, Tao Xiang:
Text-Based Person Search with Limited Data. CoRR abs/2110.10807 (2021) - [i69]Nanyi Fei, Zhiwu Lu, Yizhao Gao, Guoxing Yang, Yuqi Huo, Jingyuan Wen, Haoyu Lu, Ruihua Song, Xin Gao, Tao Xiang, Hao Sun, Ji-Rong Wen:
WenLan 2.0: Make AI Imagine via a Multimodal Foundation Model. CoRR abs/2110.14378 (2021) - [i68]Zhongying Deng, Kaiyang Zhou, Yongxin Yang, Tao Xiang:
Domain Attention Consistency for Multi-Source Domain Adaptation. CoRR abs/2111.03911 (2021) - [i67]Tianyuan Yu, Sen He, Yi-Zhe Song, Tao Xiang:
Hybrid Graph Neural Networks for Few-Shot Learning. CoRR abs/2112.06538 (2021) - [i66]Anran Qi, Yulia Gryaditskaya, Tao Xiang, Yi-Zhe Song:
One Sketch for All: One-Shot Personalized Sketch Segmentation. CoRR abs/2112.10838 (2021) - 2020
- [j43]Aoxue Li, Zhiwu Lu, Jiechao Guan, Tao Xiang, Liwei Wang, Ji-Rong Wen:
Transferrable Feature and Projection Learning with Class Hierarchy for Zero-Shot Learning. Int. J. Comput. Vis. 128(12): 2810-2827 (2020) - [j42]Xuelin Qian, Yanwei Fu, Tao Xiang, Yu-Gang Jiang, Xiangyang Xue:
Leader-Based Multi-Scale Attention Deep Architecture for Person Re-Identification. IEEE Trans. Pattern Anal. Mach. Intell. 42(2): 371-385 (2020) - [j41]Feng Liu, Tao Xiang, Timothy M. Hospedales, Wankou Yang, Changyin Sun:
Inverse Visual Question Answering: A New Benchmark and VQA Diagnosis Tool. IEEE Trans. Pattern Anal. Mach. Intell. 42(2): 460-474 (2020) - [j40]Zhong Ji, Biying Cui, Huihui Li, Yu-Gang Jiang, Tao Xiang, Timothy M. Hospedales, Yanwei Fu:
Deep Ranking for Image Zero-Shot Multi-Label Classification. IEEE Trans. Image Process. 29: 6549-6560 (2020) - [j39]Ayan Kumar Bhunia, Ayan Das, Umar Riaz Muhammad, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yulia Gryaditskaya, Yi-Zhe Song:
Pixelor: a competitive sketching AI agent. so you think you can sketch? ACM Trans. Graph. 39(6): 166:1-166:15 (2020) - [c122]Ling Luo, Yulia Gryaditskaya, Yongxin Yang, Tao Xiang, Yi-Zhe Song:
Towards 3D VR-Sketch to 3D Shape Retrieval. 3DV 2020: 81-90 - [c121]Kaiyang Zhou, Yongxin Yang, Timothy M. Hospedales, Tao Xiang:
Deep Domain-Adversarial Image Generation for Domain Generalisation. AAAI 2020: 13025-13032 - [c120]Xuelin Qian, Wenxuan Wang, Li Zhang, Fangrui Zhu, Yanwei Fu, Tao Xiang, Yu-Gang Jiang, Xiangyang Xue:
Long-Term Cloth-Changing Person Re-identification. ACCV (3) 2020: 71-88 - [c119]Aneeshan Sain, Ayan Kumar Bhunia, Yongxin Yang, Tao Xiang, Yi-Zhe Song:
Cross-Modal Hierarchical Modelling for Fine-Grained Sketch Based Image Retrieval. BMVC 2020 - [c118]Zhihe Lu, Yongxin Yang, Xiatian Zhu, Cong Liu, Yi-Zhe Song, Tao Xiang:
Stochastic Classifiers for Unsupervised Domain Adaptation. CVPR 2020: 9108-9117 - [c117]Ayan Kumar Bhunia, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song:
Sketch Less for More: On-the-Fly Fine-Grained Sketch-Based Image Retrieval. CVPR 2020: 9776-9785 - [c116]Kaiyue Pang, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song:
Solving Mixed-Modal Jigsaw Puzzle for Fine-Grained Sketch-Based Image Retrieval. CVPR 2020: 10344-10352 - [c115]Juan-Manuel Pérez-Rúa, Xiatian Zhu, Timothy M. Hospedales, Tao Xiang:
Incremental Few-Shot Object Detection. CVPR 2020: 13843-13852 - [c114]Yuqi Huo, Xiaoli Xu, Yao Lu, Yulei Niu, Mingyu Ding, Zhiwu Lu, Tao Xiang, Ji-Rong Wen:
Lightweight Action Recognition in Compressed Videos. ECCV Workshops (2) 2020: 337-352 - [c113]Kaiyang Zhou, Yongxin Yang, Timothy M. Hospedales, Tao Xiang:
Learning to Generate Novel Domains for Domain Generalization. ECCV (16) 2020: 561-578 - [c112]Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song:
BézierSketch: A Generative Model for Scalable Vector Sketches. ECCV (26) 2020: 632-647 - [i65]Mang Ye, Jianbing Shen, Gaojie Lin, Tao Xiang, Ling Shao, Steven C. H. Hoi:
Deep Learning for Person Re-identification: A Survey and Outlook. CoRR abs/2001.04193 (2020) - [i64]Peng Xu, Kun Liu, Tao Xiang, Timothy M. Hospedales, Zhanyu Ma, Jun Guo, Yi-Zhe Song:
Fine-Grained Instance-Level Sketch-Based Video Retrieval. CoRR abs/2002.09461 (2020) - [i63]Ayan Kumar Bhunia, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song:
Sketch Less for More: On-the-Fly Fine-Grained Sketch Based Image Retrieval. CoRR abs/2002.10310 (2020) - [i62]Jianhong Zhang, Manli Zhang, Zhiwu Lu, Tao Xiang, Ji-Rong Wen:
AdarGCN: Adaptive Aggregation GCN for Few-Shot Learning. CoRR abs/2002.12641 (2020) - [i61]Juan-Manuel Pérez-Rúa, Xiatian Zhu, Timothy M. Hospedales, Tao Xiang:
Incremental Few-Shot Object Detection. CoRR abs/2003.04668 (2020) - [i60]Kaiyang Zhou, Yongxin Yang, Timothy M. Hospedales, Tao Xiang:
Deep Domain-Adversarial Image Generation for Domain Generalisation. CoRR abs/2003.06054 (2020) - [i59]Kaiyang Zhou, Yongxin Yang, Yu Qiao, Tao Xiang:
Domain Adaptive Ensemble Learning. CoRR abs/2003.07325 (2020) - [i58]An Zhao, Mingyu Ding, Zhiwu Lu, Tao Xiang, Yulei Niu, Jiechao Guan, Ji-Rong Wen, Ping Luo:
Domain-Adaptive Few-Shot Learning. CoRR abs/2003.08626 (2020) - [i57]Xuelin Qian, Wenxuan Wang, Li Zhang, Fangrui Zhu, Yanwei Fu, Tao Xiang, Yu-Gang Jiang, Xiangyang Xue:
Long-Term Cloth-Changing Person Re-identification. CoRR abs/2005.12633 (2020) - [i56]Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song:
BézierSketch: A generative model for scalable vector sketches. CoRR abs/2007.02190 (2020) - [i55]Kaiyang Zhou, Yongxin Yang, Timothy M. Hospedales, Tao Xiang:
Learning to Generate Novel Domains for Domain Generalization. CoRR abs/2007.03304 (2020) - [i54]Peng Xu, Yongye Huang, Tongtong Yuan, Tao Xiang, Timothy M. Hospedales, Yi-Zhe Song, Liang Wang:
On Learning Semantic Representations for Million-Scale Free-Hand Sketches. CoRR abs/2007.04101 (2020) - [i53]Aneeshan Sain, Ayan Kumar Bhunia, Yongxin Yang, Tao Xiang, Yi-Zhe Song:
Cross-Modal Hierarchical Modelling for Fine-Grained Sketch Based Image Retrieval. CoRR abs/2007.15103 (2020) - [i52]Jiechao Guan, Zhiwu Lu, Tao Xiang, Timothy M. Hospedales:
Margin-Based Transfer Bounds for Meta Learning with Deep Feature Embedding. CoRR abs/2012.01602 (2020) - [i51]Sixiao Zheng, Jiachen Lu, Hengshuang Zhao, Xiatian Zhu, Zekun Luo, Yabiao Wang, Yanwei Fu, Jianfeng Feng, Tao Xiang, Philip H. S. Torr, Li Zhang:
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers. CoRR abs/2012.15840 (2020)
2010 – 2019
- 2019
- [j38]Yulei Niu, Zhiwu Lu, Ji-Rong Wen, Tao Xiang, Shih-Fu Chang:
Multi-Modal Multi-Scale Deep Learning for Large-Scale Image Annotation. IEEE Trans. Image Process. 28(4): 1720-1731 (2019) - [j37]Ke Li, Kaiyue Pang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Honggang Zhang:
Toward Deep Universal Sketch Perceptual Grouper. IEEE Trans. Image Process. 28(7): 3219-3231 (2019) - [c111]Xiaobin Chang, Yongxin Yang, Tao Xiang, Timothy M. Hospedales:
Disjoint Label Space Transfer Learning with Common Factorised Space. AAAI 2019: 3288-3295 - [c110]Kaiyue Pang, Ke Li, Yongxin Yang, Honggang Zhang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song:
Generalising Fine-Grained Sketch-Based Image Retrieval. CVPR 2019: 677-686 - [c109]Jifei Song, Yongxin Yang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales:
Generalizable Person Re-Identification by Domain-Invariant Mapping Network. CVPR 2019: 719-728 - [c108]Aoxue Li, Tiange Luo, Zhiwu Lu, Tao Xiang, Liwei Wang:
Large-Scale Few-Shot Learning: Knowledge Transfer With Class Hierarchy. CVPR 2019: 7212-7220 - [c107]Mingyu Ding, An Zhao, Zhiwu Lu, Tao Xiang, Ji-Rong Wen:
Face-Focused Cross-Stream Network for Deception Detection in Videos. CVPR 2019: 7802-7811 - [c106]Umar Riaz Muhammad, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song:
Goal-Driven Sequential Data Abstraction. ICCV 2019: 71-80 - [c105]Tianyuan Yu, Da Li, Yongxin Yang, Timothy M. Hospedales, Tao Xiang:
Robust Person Re-Identification by Modelling Feature Uncertainty. ICCV 2019: 552-561 - [c104]Kaiyang Zhou, Yongxin Yang, Andrea Cavallaro, Tao Xiang:
Omni-Scale Feature Learning for Person Re-Identification. ICCV 2019: 3701-3711 - [c103]Aoxue Li, Tiange Luo, Tao Xiang, Weiran Huang, Liwei Wang:
Few-Shot Learning With Global Class Representations. ICCV 2019: 9714-9723 - [i50]Kaiyang Zhou, Yongxin Yang, Andrea Cavallaro, Tao Xiang:
Omni-Scale Feature Learning for Person Re-Identification. CoRR abs/1905.00953 (2019) - [i49]Umar Riaz Muhammad, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song:
Goal-Driven Sequential Data Abstraction. CoRR abs/1907.12336 (2019) - [i48]Tiange Luo, Aoxue Li, Tao Xiang, Weiran Huang, Liwei Wang:
Few-Shot Learning with Global Class Representations. CoRR abs/1908.05257 (2019) - [i47]Kaiyang Zhou, Yongxin Yang, Andrea Cavallaro, Tao Xiang:
Learning Generalisable Omni-Scale Representations for Person Re-Identification. CoRR abs/1910.06827 (2019) - 2018
- [j36]Hanxiao Wang, Xiatian Zhu, Shaogang Gong, Tao Xiang:
Person Re-identification in Identity Regression Space. Int. J. Comput. Vis. 126(12): 1288-1310 (2018) - [j35]Peng Xu, Qiyue Yin, Yongye Huang, Yi-Zhe Song, Zhanyu Ma, Liang Wang, Tao Xiang, W. Bastiaan Kleijn, Jun Guo:
Cross-modal subspace learning for fine-grained sketch-based image retrieval. Neurocomputing 278: 75-86 (2018) - [j34]Peixi Peng, Yonghong Tian, Tao Xiang, Yaowei Wang, Massimiliano Pontil, Tiejun Huang:
Joint Semantic and Latent Attribute Modelling for Cross-Class Transfer Learning. IEEE Trans. Pattern Anal. Mach. Intell. 40(7): 1625-1638 (2018) - [j33]Zhenyong Fu, Tao Xiang, Elyor Kodirov, Shaogang Gong:
Zero-Shot Learning on Semantic Class Prototype Graph. IEEE Trans. Pattern Anal. Mach. Intell. 40(8): 2009-2022 (2018) - [j32]Yanwei Fu, Tao Xiang, Yu-Gang Jiang, Xiangyang Xue, Leonid Sigal, Shaogang Gong:
Recent Advances in Zero-Shot Recognition: Toward Data-Efficient Understanding of Visual Content. IEEE Signal Process. Mag. 35(1): 112-125 (2018) - [c102]Kaiyang Zhou, Yu Qiao, Tao Xiang:
Deep Reinforcement Learning for Unsupervised Video Summarization With Diversity-Representativeness Reward. AAAI 2018: 7582-7589 - [c101]Haoran Chen, Yaowei Wang, Yemin Shi, Ke Yan, Mengyue Geng, Yonghong Tian, Tao Xiang:
Deep Transfer Learning for Person Re-Identification. BigMM 2018: 1-5 - [c100]Anran Qi, Yi-Zhe Song, Tao Xiang:
Semantic Embedding for Sketch-Based 3D Shape Retrieval. BMVC 2018: 43 - [c99]Kaiyang Zhou, Tao Xiang, Andrea Cavallaro:
Video Summarisation by Classification with Deep Reinforcement Learning. BMVC 2018: 298 - [c98]Jifei Song, Kaiyue Pang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales:
Learning to Sketch With Shortcut Cycle Consistency. CVPR 2018: 801-810 - [c97]Flood Sung, Yongxin Yang, Li Zhang, Tao Xiang, Philip H. S. Torr, Timothy M. Hospedales:
Learning to Compare: Relation Network for Few-Shot Learning. CVPR 2018: 1199-1208 - [c96]Xiaobin Chang, Tao Xiang, Timothy M. Hospedales:
Scalable and Effective Deep CCA via Soft Decorrelation. CVPR 2018: 1488-1497 - [c95]Xiaobin Chang, Timothy M. Hospedales, Tao Xiang:
Multi-Level Factorisation Net for Person Re-Identification. CVPR 2018: 2109-2118 - [c94]Ying Zhang, Tao Xiang, Timothy M. Hospedales, Huchuan Lu:
Deep Mutual Learning. CVPR 2018: 4320-4328 - [c93]Umar Riaz Muhammad, Yongxin Yang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales:
Learning Deep Sketch Abstraction. CVPR 2018: 8014-8023 - [c92]Peng Xu, Yongye Huang, Tongtong Yuan, Kaiyue Pang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Zhanyu Ma, Jun Guo:
SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval. CVPR 2018: 8090-8098 - [c91]Feng Liu, Tao Xiang, Timothy M. Hospedales, Wankou Yang, Changyin Sun:
IVQA: Inverse Visual Question Answering. CVPR 2018: 8611-8619 - [c90]Conghui Hu, Da Li, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales:
Sketch-a-Classifier: Sketch-Based Photo Classifier Generation. CVPR 2018: 9136-9144 - [c89]Kaiyue Pang, Da Li, Jifei Song, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales:
Deep Factorised Inverse-Sketching. ECCV (15) 2018: 37-54 - [c88]Changqing Zou, Qian Yu, Ruofei Du, Haoran Mo, Yi-Zhe Song, Tao Xiang, Chengying Gao, Baoquan Chen, Hao Zhang:
SketchyScene: Richly-Annotated Scene Sketches. ECCV (15) 2018: 438-454 - [c87]Ke Li, Kaiyue Pang, Jifei Song, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Honggang Zhang:
Universal Sketch Perceptual Grouping. ECCV (8) 2018: 593-609 - [c86]Xuelin Qian, Yanwei Fu, Tao Xiang, Wenxuan Wang, Jie Qiu, Yang Wu, Yu-Gang Jiang, Xiangyang Xue:
Pose-Normalized Image Generation for Person Re-identification. ECCV (9) 2018: 661-678 - [c85]An Zhao, Mingyu Ding, Jiechao Guan, Zhiwu Lu, Tao Xiang, Ji-Rong Wen:
Domain-Invariant Projection Learning for Zero-Shot Recognition. NeurIPS 2018: 1027-1038 - [i46]Feng Liu, Tao Xiang, Timothy M. Hospedales, Wankou Yang, Changyin Sun:
Inverse Visual Question Answering: A New Benchmark and VQA Diagnosis Tool. CoRR abs/1803.06936 (2018) - [i45]Xiaobin Chang, Timothy M. Hospedales, Tao Xiang:
Multi-Level Factorisation Net for Person Re-Identification. CoRR abs/1803.09132 (2018) - [i44]Peng Xu, Yongye Huang, Tongtong Yuan, Kaiyue Pang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Zhanyu Ma, Jun Guo:
SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval. CoRR abs/1804.01401 (2018) - [i43]Umar Riaz Muhammad, Yongxin Yang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales:
Learning Deep Sketch Abstraction. CoRR abs/1804.04804 (2018) - [i42]Conghui Hu, Da Li, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales:
Sketch-a-Classifier: Sketch-based Photo Classifier Generation. CoRR abs/1804.11182 (2018) - [i41]Jifei Song, Kaiyue Pang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales:
Learning to Sketch with Shortcut Cycle Consistency. CoRR abs/1805.00247 (2018) - [i40]Hanxiao Wang, Xiatian Zhu, Shaogang Gong, Tao Xiang:
Person Re-Identification in Identity Regression Space. CoRR abs/1806.09695 (2018) - [i39]Kaiyang Zhou, Tao Xiang, Andrea Cavallaro:
Video Summarisation by Classification with Deep Reinforcement Learning. CoRR abs/1807.03089 (2018) - [i38]Ke Li, Kaiyue Pang, Jifei Song, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Honggang Zhang:
Universal Perceptual Grouping. CoRR abs/1808.02312 (2018) - [i37]Kaiyue Pang, Da Li, Jifei Song, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales:
Deep Factorised Inverse-Sketching. CoRR abs/1808.02313 (2018) - [i36]Changqing Zou, Qian Yu, Ruofei Du, Haoran Mo, Yi-Zhe Song, Tao Xiang, Chengying Gao, Baoquan Chen, Hao Zhang:
SketchyScene: Richly-Annotated Scene Sketches. CoRR abs/1808.02473 (2018) - [i35]An Zhao, Mingyu Ding, Jiechao Guan, Zhiwu Lu, Tao Xiang, Ji-Rong Wen:
Domain-Invariant Projection Learning for Zero-Shot Recognition. CoRR abs/1810.08326 (2018) - [i34]Aoxue Li, Zhiwu Lu, Jiechao Guan, Tao Xiang, Liwei Wang, Ji-Rong Wen:
Transferrable Feature and Projection Learning with Class Hierarchy for Zero-Shot Learning. CoRR abs/1810.08329 (2018) - [i33]Zhiwu Lu, Jiechao Guan, Aoxue Li, Tao Xiang, An Zhao, Ji-Rong Wen:
Zero and Few Shot Learning with Semantic Feature Synthesis and Competitive Learning. CoRR abs/1810.08332 (2018) - [i32]Xiaobin Chang, Yongxin Yang, Tao Xiang, Timothy M. Hospedales:
Disjoint Label Space Transfer Learning with Common Factorised Space. CoRR abs/1812.02605 (2018) - [i31]Nanyi Fei, Jiajun Liu, Jiechao Guan, Zhiwu Lu, Tao Xiang, Ji-Rong Wen:
Zero-Shot Learning with Sparse Attribute Propagation. CoRR abs/1812.04427 (2018) - [i30]Mingyu Ding, An Zhao, Zhiwu Lu, Tao Xiang, Ji-Rong Wen:
Face-Focused Cross-Stream Network for Deception Detection in Videos. CoRR abs/1812.04429 (2018) - 2017
- [j31]Qian Yu, Yongxin Yang, Feng Liu, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales:
Sketch-a-Net: A Deep Neural Network that Beats Humans. Int. J. Comput. Vis. 122(3): 411-425 (2017) - [j30]Zhiwu Lu, Zhenyong Fu, Tao Xiang, Peng Han, Liwei Wang, Xin Gao:
Learning from Weak and Noisy Labels for Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 39(3): 486-500 (2017) - [j29]Zhiyuan Shi, Yongxin Yang, Timothy M. Hospedales, Tao Xiang:
Weakly-Supervised Image Annotation and Segmentation with Objects and Attributes. IEEE Trans. Pattern Anal. Mach. Intell. 39(12): 2525-2538 (2017) - [j28]Aoxue Li, Zhiwu Lu, Liwei Wang, Tao Xiang, Ji-Rong Wen:
Zero-Shot Scene Classification for High Spatial Resolution Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 55(7): 4157-4167 (2017) - [j27]Ke Li, Kaiyue Pang, Yi-Zhe Song, Timothy M. Hospedales, Tao Xiang, Honggang Zhang:
Synergistic Instance-Level Subspace Alignment for Fine-Grained Sketch-Based Image Retrieval. IEEE Trans. Image Process. 26(12): 5908-5921 (2017) - [c84]Ryan Layne, Sion L. Hannuna, Massimo Camplani, Jake Hall, Timothy M. Hospedales, Tao Xiang, Majid Mirmehdi, Dima Damen:
A Dataset for Persistent Multi-target Multi-camera Tracking in RGB-D. CVPR Workshops 2017: 1462-1470 - [c83]Li Zhang, Tao Xiang, Shaogang Gong:
Learning a Deep Embedding Model for Zero-Shot Learning. CVPR 2017: 3010-3019 - [c82]Feng Liu, Tao Xiang, Timothy M. Hospedales, Wankou Yang, Changyin Sun:
Semantic Regularisation for Recurrent Image Annotation. CVPR 2017: 4160-4168 - [c81]Elyor Kodirov, Tao Xiang, Shaogang Gong:
Semantic Autoencoder for Zero-Shot Learning. CVPR 2017: 4447-4456 - [c80]Xuelin Qian, Yanwei Fu, Yu-Gang Jiang, Tao Xiang, Xiangyang Xue:
Multi-scale Deep Learning Architectures for Person Re-identification. ICCV 2017: 5409-5418 - [c79]Jifei Song, Qian Yu, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales:
Deep Spatial-Semantic Attention for Fine-Grained Sketch-Based Image Retrieval. ICCV 2017: 5552-5561 - [c78]Weidong Yin, Yanwei Fu, Yiqing Ma, Yu-Gang Jiang, Tao Xiang, Xiangyang Xue:
Learning to Generate and Edit Hairstyles. ACM Multimedia 2017: 1627-1635 - [i29]Elyor Kodirov, Tao Xiang, Shaogang Gong:
Semantic Autoencoder for Zero-Shot Learning. CoRR abs/1704.08345 (2017) - [i28]Zhiyuan Shi, Timothy M. Hospedales, Tao Xiang:
Bayesian Joint Topic Modelling for Weakly Supervised Object Localisation. CoRR abs/1705.03372 (2017) - [i27]Peng Xu, Qiyue Yin, Yongye Huang, Yi-Zhe Song, Zhanyu Ma, Liang Wang, Tao Xiang, W. Bastiaan Kleijn, Jun Guo:
Cross-modal Subspace Learning for Fine-grained Sketch-based Image Retrieval. CoRR abs/1705.09888 (2017) - [i26]Ying Zhang, Tao Xiang, Timothy M. Hospedales, Huchuan Lu:
Deep Mutual Learning. CoRR abs/1706.00384 (2017) - [i25]Zhiyuan Shi, Timothy M. Hospedales, Tao Xiang:
Transferring a Semantic Representation for Person Re-Identification and Search. CoRR abs/1706.03725 (2017) - [i24]Zhiyuan Shi, Timothy M. Hospedales, Tao Xiang:
Bayesian Joint Modelling for Object Localisation in Weakly Labelled Images. CoRR abs/1706.05952 (2017) - [i23]Flood Sung, Li Zhang, Tao Xiang, Timothy M. Hospedales, Yongxin Yang:
Learning to Learn: Meta-Critic Networks for Sample Efficient Learning. CoRR abs/1706.09529 (2017) - [i22]Li Zhang, Flood Sung, Feng Liu, Tao Xiang, Shaogang Gong, Yongxin Yang, Timothy M. Hospedales:
Actor-Critic Sequence Training for Image Captioning. CoRR abs/1706.09601 (2017) - [i21]Aoxue Li, Zhiwu Lu, Liwei Wang, Tao Xiang, Xinqi Li, Ji-Rong Wen:
Zero-Shot Fine-Grained Classification by Deep Feature Learning with Semantics. CoRR abs/1707.00785 (2017) - [i20]Xiaobin Chang, Tao Xiang, Timothy M. Hospedales:
Deep Multi-View Learning with Stochastic Decorrelation Loss. CoRR abs/1707.09669 (2017) - [i19]Zhiyuan Shi, Yongxin Yang, Timothy M. Hospedales, Tao Xiang:
Weakly Supervised Image Annotation and Segmentation with Objects and Attributes. CoRR abs/1708.02459 (2017) - [i18]Yulei Niu, Zhiwu Lu, Ji-Rong Wen, Tao Xiang, Shih-Fu Chang:
Multi-Modal Multi-Scale Deep Learning for Large-Scale Image Annotation. CoRR abs/1709.01220 (2017) - [i17]Xuelin Qian, Yanwei Fu, Yu-Gang Jiang, Tao Xiang, Xiangyang Xue:
Multi-scale Deep Learning Architectures for Person Re-identification. CoRR abs/1709.05165 (2017) - [i16]Feng Liu, Tao Xiang, Timothy M. Hospedales, Wankou Yang, Changyin Sun:
iVQA: Inverse Visual Question Answering. CoRR abs/1710.03370 (2017) - [i15]Yanwei Fu, Tao Xiang, Yu-Gang Jiang, Xiangyang Xue, Leonid Sigal, Shaogang Gong:
Recent Advances in Zero-shot Recognition. CoRR abs/1710.04837 (2017) - [i14]Flood Sung, Yongxin Yang, Li Zhang, Tao Xiang, Philip H. S. Torr, Timothy M. Hospedales:
Learning to Compare: Relation Network for Few-Shot Learning. CoRR abs/1711.06025 (2017) - [i13]Qian Yu, Xiaobin Chang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales:
The Devil is in the Middle: Exploiting Mid-level Representations for Cross-Domain Instance Matching. CoRR abs/1711.08106 (2017) - 2016
- [j26]Fang Zhao, Yongzhen Huang, Liang Wang, Tao Xiang, Tieniu Tan:
Learning Relevance Restricted Boltzmann Machine for Unstructured Group Activity and Event Understanding. Int. J. Comput. Vis. 119(3): 329-345 (2016) - [j25]Yanwei Fu, Timothy M. Hospedales, Tao Xiang, Jiechao Xiong, Shaogang Gong, Yizhou Wang, Yuan Yao:
Robust Subjective Visual Property Prediction from Crowdsourced Pairwise Labels. IEEE Trans. Pattern Anal. Mach. Intell. 38(3): 563-577 (2016) - [j24]Wei-Shi Zheng, Shaogang Gong, Tao Xiang:
Towards Open-World Person Re-Identification by One-Shot Group-Based Verification. IEEE Trans. Pattern Anal. Mach. Intell. 38(3): 591-606 (2016) - [j23]Jianfang Hu, Wei-Shi Zheng, Jian-Huang Lai, Shaogang Gong, Tao Xiang:
Exemplar-Based Recognition of Human-Object Interactions. IEEE Trans. Circuits Syst. Video Technol. 26(4): 647-660 (2016) - [c77]Xiaobin Chang, Tao Xiang, Timothy M. Hospedales:
L1 Graph Based Sparse Model for Label De-noising. BMVC 2016 - [c76]Elyor Kodirov, Tao Xiang, Zhenyong Fu, Shaogang Gong:
Learning Robust Graph Regularisation for Subspace Clustering. BMVC 2016 - [c75]Jifei Song, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Xiang Ruan:
Deep Multi-task Attribute-driven Ranking for Fine-grained Sketch-based Image Retrieval. BMVC 2016 - [c74]Hanxiao Wang, Shaogang Gong, Tao Xiang:
Highly Efficient Regression for Scalable Person Re-Identification. BMVC 2016 - [c73]Qian Yu, Feng Liu, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Chen Change Loy:
Sketch Me That Shoe. CVPR 2016: 799-807 - [c72]Li Zhang, Tao Xiang, Shaogang Gong:
Learning a Discriminative Null Space for Person Re-identification. CVPR 2016: 1239-1248 - [c71]Peixi Peng, Tao Xiang, Yaowei Wang, Massimiliano Pontil, Shaogang Gong, Tiejun Huang, Yonghong Tian:
Unsupervised Cross-Dataset Transfer Learning for Person Re-identification. CVPR 2016: 1306-1315 - [c70]Elyor Kodirov, Tao Xiang, Zhen-Yong Fu, Shaogang Gong:
Person Re-Identification by Unsupervised \ell _1 ℓ 1 Graph Learning. ECCV (1) 2016: 178-195 - [c69]Peixi Peng, Yonghong Tian, Tao Xiang, Yaowei Wang, Tiejun Huang:
Joint Learning of Semantic and Latent Attributes. ECCV (4) 2016: 336-353 - [c68]Hanxiao Wang, Shaogang Gong, Xiatian Zhu, Tao Xiang:
Human-in-the-Loop Person Re-identification. ECCV (4) 2016: 405-422 - [c67]Hanxiao Wang, Xiatian Zhu, Tao Xiang, Shaogang Gong:
Towards unsupervised open-set person re-identification. ICIP 2016: 769-773 - [c66]Ioannis Alexiou, Tao Xiang, Shaogang Gong:
Exploring synonyms as context in zero-shot action recognition. ICIP 2016: 4190-4194 - [i12]Li Zhang, Tao Xiang, Shaogang Gong:
Learning a Discriminative Null Space for Person Re-identification. CoRR abs/1603.02139 (2016) - [i11]Li Zhang, Tao Xiang, Shaogang Gong:
Learning a Deep Embedding Model for Zero-Shot Learning. CoRR abs/1611.05088 (2016) - [i10]Mengyue Geng, Yaowei Wang, Tao Xiang, Yonghong Tian:
Deep Transfer Learning for Person Re-identification. CoRR abs/1611.05244 (2016) - [i9]Feng Liu, Tao Xiang, Timothy M. Hospedales, Wankou Yang, Changyin Sun:
Semantic Regularisation for Recurrent Image Annotation. CoRR abs/1611.05490 (2016) - [i8]Hanxiao Wang, Shaogang Gong, Tao Xiang:
Highly Efficient Regression for Scalable Person Re-Identification. CoRR abs/1612.01341 (2016) - [i7]Hanxiao Wang, Shaogang Gong, Xiatian Zhu, Tao Xiang:
Human-In-The-Loop Person Re-Identification. CoRR abs/1612.01345 (2016) - 2015
- [j22]Yonggang Qi, Jun Guo, Yi-Zhe Song, Tao Xiang, Honggang Zhang, Zheng-Hua Tan:
Im2Sketch: Sketch generation by unconflicted perceptual grouping. Neurocomputing 165: 338-349 (2015) - [j21]Zhiyuan Shi, Timothy M. Hospedales, Tao Xiang:
Bayesian Joint Modelling for Object Localisation in Weakly Labelled Images. IEEE Trans. Pattern Anal. Mach. Intell. 37(10): 1959-1972 (2015) - [j20]Yanwei Fu, Timothy M. Hospedales, Tao Xiang, Shaogang Gong:
Transductive Multi-View Zero-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. 37(11): 2332-2345 (2015) - [c65]Qian Yu, Yongxin Yang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales:
Sketch-a-Net that Beats Humans. BMVC 2015: 7.1-7.12 - [c64]Elyor Kodirov, Tao Xiang, Shaogang Gong:
Dictionary Learning with Iterative Laplacian Regularisation for Unsupervised Person Re-identification. BMVC 2015: 44.1-44.12 - [c63]Yonggang Qi, Yi-Zhe Song, Tao Xiang, Honggang Zhang, Timothy M. Hospedales, Yi Li, Jun Guo:
Making better use of edges via perceptual grouping. CVPR 2015: 1856-1865 - [c62]Zhiyuan Shi, Timothy M. Hospedales, Tao Xiang:
Transferring a semantic representation for person re-identification and search. CVPR 2015: 4184-4193 - [c61]Elyor Kodirov, Tao Xiang, Zhen-Yong Fu, Shaogang Gong:
Unsupervised Domain Adaptation for Zero-Shot Learning. ICCV 2015: 2452-2460 - [c60]Xiang Li, Wei-Shi Zheng, Xiaojuan Wang, Tao Xiang, Shaogang Gong:
Multi-Scale Learning for Low-Resolution Person Re-Identification. ICCV 2015: 3765-3773 - [c59]Wei-Shi Zheng, Xiang Li, Tao Xiang, Shengcai Liao, Jian-Huang Lai, Shaogang Gong:
Partial Person Re-Identification. ICCV 2015: 4678-4686 - [c58]Ioannis Alexiou, Tao Xiang, Shaogang Gong:
Learning a joint discriminative-generative model for action recognition. IWSSIP 2015: 1-4 - [i6]Yanwei Fu, Timothy M. Hospedales, Tao Xiang, Shaogang Gong:
Transductive Multi-view Zero-Shot Learning. CoRR abs/1501.04560 (2015) - [i5]Yanwei Fu, Timothy M. Hospedales, Tao Xiang, Jiechao Xiong, Shaogang Gong, Yizhou Wang, Yuan Yao:
Robust Subjective Visual Property Prediction from Crowdsourced Pairwise Labels. CoRR abs/1501.06202 (2015) - [i4]Yanwei Fu, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Shaogang Gong:
Transductive Multi-label Zero-shot Learning. CoRR abs/1503.07790 (2015) - [i3]Yanwei Fu, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Shaogang Gong:
Transductive Multi-class and Multi-label Zero-shot Learning. CoRR abs/1503.07884 (2015) - [i2]Zhiyuan Shi, Yongxin Yang, Timothy M. Hospedales, Tao Xiang:
Weakly Supervised Learning of Objects, Attributes and their Associations. CoRR abs/1504.00045 (2015) - 2014
- [j19]Yanwei Fu, Timothy M. Hospedales, Tao Xiang, Shaogang Gong:
Learning Multimodal Latent Attributes. IEEE Trans. Pattern Anal. Mach. Intell. 36(2): 303-316 (2014) - [c57]Yanwei Fu, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Shaogang Gong:
Transductive Multi-label Zero-shot Learning. BMVC 2014 - [c56]Hanxiao Wang, Shaogang Gong, Tao Xiang:
Unsupervised Learning of Generative Topic Saliency for Person Re-identification. BMVC 2014 - [c55]Zhiyuan Shi, Yongxin Yang, Timothy M. Hospedales, Tao Xiang:
Weakly Supervised Learning of Objects, Attributes and Their Associations. ECCV (2) 2014: 472-487 - [c54]Yanwei Fu, Timothy M. Hospedales, Tao Xiang, Shaogang Gong, Yuan Yao:
Interestingness Prediction by Robust Learning to Rank. ECCV (2) 2014: 488-503 - [c53]Yanwei Fu, Timothy M. Hospedales, Tao Xiang, Zhen-Yong Fu, Shaogang Gong:
Transductive Multi-view Embedding for Zero-Shot Recognition and Annotation. ECCV (2) 2014: 584-599 - [c52]Yonggang Qi, Wei-Shi Zheng, Tao Xiang, Yi-Zhe Song, Honggang Zhang, Jun Guo:
One-Shot Learning of Sketch Categories with Co-regularized Sparse Coding. ISVC (2) 2014: 74-84 - [p3]Wei-Shi Zheng, Shaogang Gong, Tao Xiang:
Group Association: Assisting Re-identification by Visual Context. Person Re-Identification 2014: 183-201 - [i1]Zhen-Yong Fu, Tao Xiang, Shaogang Gong:
Semantic Graph for Zero-Shot Learning. CoRR abs/1406.4112 (2014) - 2013
- [j18]Wei-Shi Zheng, Shaogang Gong, Tao Xiang:
Reidentification by Relative Distance Comparison. IEEE Trans. Pattern Anal. Mach. Intell. 35(3): 653-668 (2013) - [j17]Timothy M. Hospedales, Shaogang Gong, Tao Xiang:
Finding Rare Classes: Active Learning with Generative and Discriminative Models. IEEE Trans. Knowl. Data Eng. 25(2): 374-386 (2013) - [c51]Ke Chen, Shaogang Gong, Tao Xiang, Chen Change Loy:
Cumulative Attribute Space for Age and Crowd Density Estimation. CVPR 2013: 2467-2474 - [c50]Chen Change Loy, Shaogang Gong, Tao Xiang:
From Semi-supervised to Transfer Counting of Crowds. ICCV 2013: 2256-2263 - [c49]Zhiyuan Shi, Timothy M. Hospedales, Tao Xiang:
Bayesian Joint Topic Modelling for Weakly Supervised Object Localisation. ICCV 2013: 2984-2991 - [c48]Jianfang Hu, Wei-Shi Zheng, Jian-Huang Lai, Shaogang Gong, Tao Xiang:
Recognising Human-Object Interaction via Exemplar Based Modelling. ICCV 2013: 3144-3151 - [c47]Yonggang Qi, Jun Guo, Yi Li, Honggang Zhang, Tao Xiang, Yi-Zhe Song:
Sketching by perceptual grouping. ICIP 2013: 270-274 - [c46]Yonggang Qi, Jun Guo, Yi Li, Honggang Zhang, Tao Xiang, Yi-Zhe Song, Zheng-Hua Tan:
Perceptual grouping via untangling Gestalt principles. VCIP 2013: 1-6 - [p2]Chen Change Loy, Ke Chen, Shaogang Gong, Tao Xiang:
Crowd Counting and Profiling: Methodology and Evaluation. Modeling, Simulation and Visual Analysis of Crowds 2013: 347-382 - 2012
- [j16]Jian Li, Shaogang Gong, Tao Xiang:
Learning Behavioural Context. Int. J. Comput. Vis. 97(3): 276-304 (2012) - [j15]Timothy M. Hospedales, Shaogang Gong, Tao Xiang:
Video Behaviour Mining Using a Dynamic Topic Model. Int. J. Comput. Vis. 98(3): 303-323 (2012) - [j14]Wei-Shi Zheng, Shaogang Gong, Tao Xiang:
Quantifying and Transferring Contextual Information in Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 34(4): 762-777 (2012) - [j13]Chen Change Loy, Tao Xiang, Shaogang Gong:
Incremental Activity Modeling in Multiple Disjoint Cameras. IEEE Trans. Pattern Anal. Mach. Intell. 34(9): 1799-1813 (2012) - [j12]Matteo Bregonzio, Tao Xiang, Shaogang Gong:
Fusing appearance and distribution information of interest points for action recognition. Pattern Recognit. 45(3): 1220-1234 (2012) - [c45]Chen Change Loy, Timothy M. Hospedales, Tao Xiang, Shaogang Gong:
Stream-based joint exploration-exploitation active learning. CVPR 2012: 1560-1567 - [c44]Wei-Shi Zheng, Shaogang Gong, Tao Xiang:
Transfer re-identification: From person to set-based verification. CVPR 2012: 2650-2657 - [c43]Timothy M. Hospedales, Shaogang Gong, Tao Xiang:
A Unifying Theory of Active Discovery and Learning. ECCV (5) 2012: 453-466 - [c42]Yanwei Fu, Timothy M. Hospedales, Tao Xiang, Shaogang Gong:
Attribute Learning for Understanding Unstructured Social Activity. ECCV (4) 2012: 530-543 - [c41]Chen Change Loy, Tao Xiang, Shaogang Gong:
Salient motion detection in crowded scenes. ISCCSP 2012: 1-4 - [e1]Caifeng Shan, Fatih Porikli, Tao Xiang, Shaogang Gong:
Video Analytics for Business Intelligence. Studies in Computational Intelligence 409, Springer 2012, ISBN 978-3-642-28597-4 [contents] - 2011
- [b1]Shaogang Gong, Tao Xiang:
Visual Analysis of Behaviour - From Pixels to Semantics. Springer 2011, ISBN 978-0-85729-669-6, pp. I-XIX, 1-356 - [j11]Timothy M. Hospedales, Jian Li, Shaogang Gong, Tao Xiang:
Identifying Rare and Subtle Behaviors: A Weakly Supervised Joint Topic Model. IEEE Trans. Pattern Anal. Mach. Intell. 33(12): 2451-2464 (2011) - [j10]Chen Change Loy, Tao Xiang, Shaogang Gong:
Detecting and discriminating behavioural anomalies. Pattern Recognit. 44(1): 117-132 (2011) - [c40]Wei-Shi Zheng, Shaogang Gong, Tao Xiang:
Person re-identification by probabilistic relative distance comparison. CVPR 2011: 649-656 - [c39]Ke Chen, Shaogang Gong, Tao Xiang:
Human pose estimation using structural support vector machines. ICCV Workshops 2011: 846-851 - [c38]Timothy M. Hospedales, Shaogang Gong, Tao Xiang:
Learning Tags from Unsegmented Videos of Multiple Human Actions. ICDM 2011: 251-259 - [c37]Timothy M. Hospedales, Shaogang Gong, Tao Xiang:
Finding Rare Classes: Adapting Generative and Discriminative Models in Active Learning. PAKDD (2) 2011: 296-308 - [p1]Shaogang Gong, Chen Change Loy, Tao Xiang:
Security and Surveillance. Visual Analysis of Humans 2011: 455-472 - 2010
- [j9]Chen Change Loy, Tao Xiang, Shaogang Gong:
Time-Delayed Correlation Analysis for Multi-Camera Activity Understanding. Int. J. Comput. Vis. 90(1): 106-129 (2010) - [j8]Khalid Bashir, Tao Xiang, Shaogang Gong:
Gait recognition without subject cooperation. Pattern Recognit. Lett. 31(13): 2052-2060 (2010) - [c36]Chen Change Loy, Tao Xiang, Shaogang Gong:
Stream-Based Active Unusual Event Detection. ACCV (1) 2010: 161-175 - [c35]Jian Li, Timothy M. Hospedales, Shaogang Gong, Tao Xiang:
Learning Rare Behaviours. ACCV (2) 2010: 293-307 - [c34]Wei-Shi Zheng, Shaogang Gong, Tao Xiang:
Unsupervised Selective Transfer Learning for Object Recognition. ACCV (2) 2010: 527-541 - [c33]Khalid Bashir, Tao Xiang, Shaogang Gong:
Cross View Gait Recognition Using Correlation Strength. BMVC 2010: 1-11 - [c32]Matteo Bregonzio, Jian Li, Shaogang Gong, Tao Xiang:
Discriminative Topics Modelling for Action Feature Selection and Recognition. BMVC 2010: 1-11 - [c31]Bryan James Prosser, Wei-Shi Zheng, Shaogang Gong, Tao Xiang:
Person Re-Identification by Support Vector Ranking. BMVC 2010: 1-11 - [c30]Shaogang Gong, Tao Xiang, Somboon Hongeng:
Learning human pose in crowd. MPVA@MM 2010: 47-52
2000 – 2009
- 2009
- [c29]Khalid Bashir, Tao Xiang, Shaogang Gong:
Gait Representation Using Flow Fields. BMVC 2009: 1-11 - [c28]Chen Change Loy, Tao Xiang, Shaogang Gong:
Modelling Multi-object Activity by Gaussian Processes. BMVC 2009: 1-11 - [c27]Javier Orozco, Shaogang Gong, Tao Xiang:
Head Pose Classification in Crowded Scenes. BMVC 2009: 1-11 - [c26]Emanuel Zelniker, Timothy M. Hospedales, Shaogang Gong, Tao Xiang:
A Unified Bayesian Framework for Adaptive Visual Tracking. BMVC 2009: 1-11 - [c25]Wei-Shi Zheng, Shaogang Gong, Tao Xiang:
Associating Groups of People. BMVC 2009: 1-11 - [c24]Matteo Bregonzio, Shaogang Gong, Tao Xiang:
Recognising action as clouds of space-time interest points. CVPR 2009: 1948-1955 - [c23]Chen Change Loy, Tao Xiang, Shaogang Gong:
Multi-camera activity correlation analysis. CVPR 2009: 1988-1995 - [c22]Chen Change Loy, Tao Xiang, Shaogang Gong:
Modelling activity global temporal dependencies using Time Delayed Probabilistic Graphical Model. ICCV 2009: 120-127 - [c21]Wei-Shi Zheng, Shaogang Gong, Tao Xiang:
Quantifying contextual information for object detection. ICCV 2009: 932-939 - [c20]Timothy M. Hospedales, Shaogang Gong, Tao Xiang:
A Markov Clustering Topic Model for mining behaviour in video. ICCV 2009: 1165-1172 - [c19]Jian Li, Shaogang Gong, Tao Xiang:
On-the-fly global activity prediction and anomaly detection. ICCV Workshops 2009: 1330-1337 - [c18]Khalid Bashir, Tao Xiang, Shaogang Gong:
Gait recognition using Gait Entropy Image. ICDP 2009: 1-6 - [c17]Matteo Bregonzio, Shaogang Gong, Tao Xiang:
Action recognition with cascaded feature selection and classification. ICDP 2009: 1-6 - 2008
- [j7]Tao Xiang, Shaogang Gong:
Incremental and adaptive abnormal behaviour detection. Comput. Vis. Image Underst. 111(1): 59-73 (2008) - [j6]Tao Xiang, Shaogang Gong:
Optimising dynamic graphical models for video content analysis. Comput. Vis. Image Underst. 112(3): 310-323 (2008) - [j5]Tao Xiang, Shaogang Gong:
Video Behavior Profiling for Anomaly Detection. IEEE Trans. Pattern Anal. Mach. Intell. 30(5): 893-908 (2008) - [j4]Tao Xiang, Shaogang Gong:
Spectral clustering with eigenvector selection. Pattern Recognit. 41(3): 1012-1029 (2008) - [j3]Tao Xiang, Shaogang Gong:
Activity based surveillance video content modelling. Pattern Recognit. 41(7): 2309-2326 (2008) - [c16]Khalid Bashir, Tao Xiang, Shaogang Gong:
Feature Selection for Gait Recognition without Subject Cooperation. BMVC 2008: 1-10 - [c15]Jian Li, Shaogang Gong, Tao Xiang:
Global Behaviour Inference using Probabilistic Latent Semantic Analysis. BMVC 2008: 1-10 - [c14]Bryan James Prosser, Shaogang Gong, Tao Xiang:
Multi-camera Matching using Bi-Directional Cumulative Brightness Transfer Functions. BMVC 2008: 1-10 - [c13]Jian Li, Shaogang Gong, Tao Xiang:
Scene Segmentation for Behaviour Correlation. ECCV (4) 2008: 383-395 - [c12]Khalid Bashir, Tao Xiang, Shaogang Gong:
Feature selection on Gait Energy Image for human identification. ICASSP 2008: 985-988 - 2007
- [c11]Shaogang Gong, Caifeng Shan, Tao Xiang:
Visual inference of human emotion and behaviour. ICMI 2007: 22-29 - 2006
- [j2]Tao Xiang, Shaogang Gong:
Beyond Tracking: Modelling Activity and Understanding Behaviour. Int. J. Comput. Vis. 67(1): 21-51 (2006) - [j1]Tao Xiang, Shaogang Gong:
Model Selection for Unsupervised Learning of Visual Context. Int. J. Comput. Vis. 69(2): 181-201 (2006) - [c10]Tao Xiang, Shaogang Gong:
Optimal Dynamic Graphs for Video Content Analysis. BMVC 2006: 177-186 - 2005
- [c9]Tao Xiang, Shaogang Gong:
Relevance learning for spectral clustering with applications on image segmentation and video behaviour profiling. AVSS 2005: 28-33 - [c8]Tao Xiang, Shaogang Gong:
Online Video Behaviour Abnormality Detection Using Reliability Measure. BMVC 2005 - [c7]Tao Xiang, Shaogang Gong:
Visual Learning Given Sparse Data of Unknown Complexity. ICCV 2005: 701-708 - [c6]Tao Xiang, Shaogang Gong:
Video Behaviour Profiling and Abnormality Detection without Manual Labelling. ICCV 2005: 1238-1245 - 2004
- [c5]Tao Xiang, Shaogang Gong:
Activity Based Video Content Trajectory Representation and Segmentation. BMVC 2004: 1-10 - 2003
- [c4]Tao Xiang, Shaogang Gong:
Discovering Bayesian Causality among Visual Events in a Complex Outdoor Scene. AVSS 2003: 177-182 - [c3]Tao Xiang, Shaogang Gong, Dennis Parkinson:
Outdoor Activity Recognition using Multi-Linked Temporal Processes. BMVC 2003: 1-10 - [c2]Shaogang Gong, Tao Xiang:
Recognition of Group Activities using Dynamic Probabilistic Networks. ICCV 2003: 742-749 - 2002
- [c1]Tao Xiang, Shaogang Gong, Dennis Parkinson:
Autonomous Visual Events Detection and Classification without Explicit Object-Centred Segmentation and Tracking. BMVC 2002: 1-10
Coauthor Index
[j36] [j33] [j32] [i40] [c83] [c81] [i29] [i22] [i15] [j25] [j24] [j23] [c76] [c74] [c72] [c71] [c70] [c68] [c67] [c66] [i12] [i11] [i8] [i7] [j20] [c64] [c61] [c60] [c59] [c58] [i6] [i5] [i4] [i3] [j19] [c57] [c56] [c54] [c53] [p3] [i1] [j18] [j17] [c51] [c50] [c48] [p2] [j16] [j15] [j14] [j13] [j12] [c45] [c44] [c43] [c42] [c41] [e1] [b1] [j11] [j10] [c40] [c39] [c38] [c37] [p1] [j9] [j8] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [j7] [j6] [j5] [j4] [j3] [c16] [c15] [c14] [c13] [c12] [c11] [j2] [j1] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
[i131] [j58] [j55] [c165] [i119] [c147] [j50] [j48] [j47] [j44] [c144] [c139] [c137] [i80] [i78] [j41] [j40] [j39] [c121] [c117] [c116] [c115] [c113] [c112] [i64] [i63] [i61] [i60] [i56] [i55] [i54] [i52] [j37] [c111] [c110] [c109] [c106] [c105] [i49] [c98] [c97] [c96] [c95] [c94] [c93] [c92] [c91] [c90] [c89] [c87] [i46] [i45] [i44] [i43] [i42] [i41] [i38] [i37] [i32] [j31] [j29] [j27] [c84] [c82] [c79] [i28] [i26] [i25] [i24] [i23] [i22] [i20] [i19] [i16] [i14] [i13] [j25] [c77] [c75] [c73] [i9] [j21] [j20] [c65] [c63] [c62] [i6] [i5] [i4] [i3] [i2] [j19] [c57] [c55] [c54] [c53] [j17] [c49] [j15] [c45] [c43] [c42] [j11] [c38] [c37] [c35] [c26] [c20]
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