Shuyang Sun
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MMDetection: Open mmlab detection toolbox and benchmark
K Chen, J Wang, J Pang, Y Cao, Y Xiong, X Li, S Sun, W Feng, Z Liu, J Xu, ...
arXiv preprint arXiv:1906.07155, 2019
Hybrid task cascade for instance segmentation
K Chen, J Pang, J Wang, Y Xiong, X Li, S Sun, W Feng, Z Liu, J Shi, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
Spindle net: Person re-identification with human body region guided feature decomposition and fusion
H Zhao, M Tian, S Sun, J Shao, J Yan, S Yi, X Wang, X Tang
Proceedings of the IEEE conference on computer vision and pattern …, 2017
Optical Flow Guided Feature: A Fast and Robust Motion Representation for Video Action Recognition
S Sun, Z Kuang, L Sheng, W Ouyang, W Zhang
Computer Vision and Pattern Recognition (CVPR), 2018 IEEE Conference on, 2018
Robust multi-modality multi-object tracking
W Zhang, H Zhou, S Sun, Z Wang, J Shi, CC Loy
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
Is synthetic data from generative models ready for image recognition?
R He, S Sun, X Yu, C Xue, W Zhang, P Torr, S Bai, X Qi
ICLR, 2023
Fishnet: A versatile backbone for image, region, and pixel level prediction
S Sun, J Pang, J Shi, S Yi, W Ouyang
Advances in neural information processing systems 31, 2018
Vision transformer with progressive sampling
X Yue*, S Sun*, Z Kuang, M Wei, PHS Torr, W Zhang, D Lin
Proceedings of the IEEE/CVF International Conference on Computer Vision, 387-396, 2021
TransMix: Attend to Mix for Vision Transformers
JN Chen*, S Sun*, J He, P Torr, A Yuille, S Bai
arXiv preprint arXiv:2111.09833, 2021
Knowledge distillation as efficient pre-training: Faster convergence, higher data-efficiency, and better transferability
R He, S Sun, J Yang, S Bai, X Qi
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
Visual Parser: Representing Part-whole Hierarchies with Transformers
S Sun, X Yue, S Bai, P Torr
arXiv preprint arXiv:2107.05790, 2021
Slot-vps: Object-centric representation learning for video panoptic segmentation
Y Zhou, H Zhang, H Lee, S Sun, P Li, Y Zhu, BI Yoo, X Qi, JJ Han
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
Learning to sample the most useful training patches from images
S Sun, L Chen, G Slabaugh, P Torr
arXiv preprint arXiv:2011.12097, 2020
RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Learning in Multi-Modal Large Language Model
J Yuan, S Sun, D Omeiza, B Zhao, P Newman, L Kunze, M Gadd
arXiv preprint arXiv:2402.10828, 2024
Remax: Relaxing for better training on efficient panoptic segmentation
S Sun, W Wang, A Howard, Q Yu, P Torr, LC Chen
Advances in Neural Information Processing Systems 36, 2024
Exploring the hierarchy in relation labels for scene graph generation
Y Zhou, S Sun, C Zhang, Y Li, W Ouyang
arXiv preprint arXiv:2009.05834, 2020
Real-Fake: Effective Training Data Synthesis Through Distribution Matching
J Yuan, J Zhang, S Sun, P Torr, B Zhao
ICLR, 2024
Clip as rnn: Segment countless visual concepts without training endeavor
S Sun, R Li, P Torr, X Gu, S Li
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
Lumix: Improving mixup by better modelling label uncertainty
S Sun, JN Chen, R He, A Yuille, P Torr, S Bai
ICASSP, 2024
Patch-based separable transformer for visual recognition
S Sun, X Yue, H Zhao, PHS Torr, S Bai
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
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