Chunhua Shen

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Anton van den HengelDirector of Applied Science at Amazon and Director of the Centre for Augmented Reasoning at AIML.Verified email at adelaide.edu.au
Guosheng LinNanyang Technological UniversityVerified email at ntu.edu.sg
Zhi TianThe University of AdelaideVerified email at adelaide.edu.au
Hao ChenZhejiang UniversityVerified email at zju.edu.cn
Tong HeShanghai AI LaboratoryVerified email at pjlab.org.cn
Zhiguo CaoHuazhong University of Science and TechnologyVerified email at hust.edu.cn
Mingkui TanSouth China University of TechnologyVerified email at scut.edu.cn
Yuanzhouhan CaoBeijing Jiaotong UniversityVerified email at bjtu.edu.cn
Jianxin Wu (吴建鑫)Nanjing UniversityVerified email at nju.edu.cn
mingyu youTongji UniversityVerified email at tongji.edu.cn
Michael J BrooksEmeritus Professor, University of AdelaideVerified email at adelaide.edu.au
Vladimir NekrasovPhD researcher, University of Adelaide, AustraliaVerified email at adelaide.edu.au
David SuterProf. Edith Cowan UniversityVerified email at ecu.edu.au
Verjans JohanAustralian Institute for Machine Learning, University of AdelaideVerified email at adelaide.edu.au
Chao MaAssociate Professor, Shanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Weiming HuNLPRVerified email at nlpr.ia.ac.cn
weian maoThe University of AdelaideVerified email at adelaide.edu.au
Richard HartleyAustralian National University, National ICT Australia (NICTA)Verified email at anu.edu.au
Michael MilfordQUT Professor | Joint Director, QUT Robotics Centre | ARC Laureate Fellow | Microsoft FellowVerified email at qut.edu.au
Cheng YanBeihang UniversityVerified email at buaa.edu.cn

Chunhua Shen

Zhejiang University

Verified email at zju.edu.cn - Homepage

Computer Vision Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
FCOS: Fully Convolutional One-Stage Object Detection Z Tian, C Shen, H Chen, T He Proc. Int. Conf. Computer Vision (ICCV), 2019	4698	2019
Refinenet: Multi-path refinement networks for high-resolution semantic segmentation G Lin, A Milan, C Shen, I Reid IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2017	3370	2017
Image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections X Mao, C Shen, YB Yang Proc. Advances In Neural Information Processing Systems (NeurIPS), 2802-2810, 2016	2238*	2016
Deep Learning for Anomaly Detection: A Review G Pang, C Shen, L Cao, AVD Hengel ACM Computing Surveys (CSUR) 54 (2), 1-38, 2021	1469	2021
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition Z Wu, C Shen, A Hengel Pattern Recognition, 2016	1426	2016
Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields F Liu, C Shen, G Lin, I Reid IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2016	1342	2016
Supervised Discrete Hashing F Shen, C Shen, W Liu, HT Shen IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2015	1230	2015
Efficient piecewise training of deep structured models for semantic segmentation G Lin, C Shen, I Reid, A van den Hengel IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2016	1135	2016
Deep Convolutional Neural Fields for Depth Estimation from a Single Image F Liu, C Shen, G Lin IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2015	1077	2015
A Survey of Appearance Models in Visual Object Tracking X Li, W Hu, C Shen, Z Zhang, A Dick, A Hengel ACM Transactions on Intelligent Systems and Technology 4 (4), 2013	912	2013
Viral Pneumonia Screening on Chest X-ray Images Using Confidence-Aware Anomaly Detection J Zhang, Y Xie, Z Liao, G Pang, J Verjans, W Li, Z Sun, J He, Y Li, C Shen, ... IEEE Transactions on Medical Imaging, 2020	825*	2020
BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation C Yu, C Gao, J Wang, G Yu, C Shen, N Sang International Journal of Computer Vision (IJCV), 2020	737	2020
Twins: Revisiting the Design of Spatial Attention in Vision Transformers X Chu, Z Tian, Y Wang, B Zhang, H Ren, X Wei, H Xia, C Shen Proc. Advances in Neural Information Processing Systems (NeurIPS), 2021	702	2021
SOLOv2: Dynamic and Fast Instance Segmentation X Wang, R Zhang, T Kong, L Li, C Shen Proc. Advances in Neural Information Processing Systems (NeurIPS) 33, 2020	659	2020
DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers C Zhang, Y Cai, G Lin, C Shen IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2020	655	2020
Depth and Surface Normal Estimation From Monocular Images Using Regression on Deep Features and Hierarchical CRFs B Li, C Shen, Y Dai, A van den Hengel, M He IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 1119-1127, 2015	645	2015
SOLO: Segmenting Objects by Locations X Wang, T Kong, C Shen, Y Jiang, L Li Proc. Eur. Conf. Computer Vision (ECCV), 2020	619	2020
End-to-End Video Instance Segmentation with Transformers Y Wang, Z Xu, X Wang, C Shen, B Cheng, H Shen, H Xia IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2021	616	2021
VITAL: VIsual Tracking via Adversarial Learning Y Song, C Ma, X Wu, L Gong, L Bao, W Zuo, C Shen, R Lau, MH Yang IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2018	577	2018
Dense Contrastive Learning for Self-Supervised Visual Pre-Training X Wang, R Zhang, C Shen, T Kong, L Li IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2021	566	2021

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