Shen, Chunhua

FCOS: Fully Convolutional One-Stage Object Detection

Tian, Z., Shen, C., Chen, H., & He, T. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 7,013

RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation

Lin, G., Milan, A., Shen, C., & Reid, I. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 3,287

BiSeNet V2: Bilateral Network with Guided Aggregation for Real-Time Semantic Segmentation

Yu, C., Gao, C., Wang, J., Yu, G., Shen, C., & Sang, N. (2021) · International Journal of Computer Vision

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 1,813

Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation

Lin, G., Shen, C., van den Hengel, A., & Reid, I. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsMedical Image Segmentation Techniques

Cited by 862

Twins: Revisiting the Design of Spatial Attention in Vision Transformers

Chu, X., Tian, Z., Wang, Y., Zhang, B., Ren, H., Wei, X., Xia, H., & Shen, C. (2021) · arXiv

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 817

A survey of appearance models in visual object tracking

Li, X., Hu, W., Shen, C., Zhang, Z., Dick, A., & Hengel, A. V. D. (2013) · ACM Transactions on Intelligent Systems and Technology

Video Surveillance and Tracking MethodsAdvanced Image and Video Retrieval Techniques

Cited by 705

Dense Contrastive Learning for Self-Supervised Visual Pre-Training

Wang, X., Zhang, R., Shen, C., Kong, T., & Li, L. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 660

CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation

Xie, Y., Zhang, J., Shen, C., & Xia, Y. (2021) · arXiv

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 654

SOLOv2: Dynamic and Fast Instance Segmentation

Wang, X., Zhang, R., Kong, T., Li, L., & Shen, C. (2020) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 549

Conditional Positional Encodings for Vision Transformers

Chu, X., Tian, Z., Zhang, B., Wang, X., & Shen, C. (2021) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 489

Viral pneumonia screening on chest X-rays using confidence-aware anomaly detection

Zhang, J., Xie, Y., Pang, G., Liao, Z., Verjans, J., Li, W., Sun, Z., He, J., Li, Y., Shen, C., et al. (2021) · IEEE Transactions on Medical Imaging

COVID-19 diagnosis using AIAnomaly Detection Techniques and Applications

Cited by 389

REVERIE: Remote Embodied Visual Referring Expression in Real Indoor Environments

Qi, Y., Wu, Q., Anderson, P., Wang, X., Wang, W. Y., Shen, C., & van den Hengel, A. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsRobot Manipulation and Learning

Cited by 331

SegGPT: Towards Segmenting Everything In Context

Wang, X., Zhang, X., Cao, Y., Wang, W., Shen, C., & Huang, T. (2023) · 2023 IEEE/CVF International Conference on Computer Vision (ICCV)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 310

NAS-FCOS: Fast Neural Architecture Search for Object Detection

Wang, N., Gao, Y., Chen, H., Wang, P., Tian, Z., Shen, C., & Zhang, Y. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 258

Towards End-to-End Text Spotting with Convolutional Recurrent Neural Networks

Li, H., Wang, P., & Shen, C. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV)

Handwritten Text Recognition TechniquesVehicle License Plate Recognition

Cited by 230

Monocular Relative Depth Perception with Web Stereo Data Supervision

Xian, K., Shen, C., Cao, Z., Lu, H., Xiao, Y., Li, R., & Luo, Z. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Advanced Vision and ImagingAdvanced Neural Network Applications

Cited by 215

Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection

Ding, C., Pang, G., & Shen, C. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Anomaly Detection Techniques and ApplicationsAdversarial Robustness in Machine Learning

Cited by 197

TasselNetv2: in-field counting of wheat spikes with context-augmented local regression networks

Xiong, H., Cao, Z., Lu, H., Madec, S., Liu, L., & Shen, C. (2019) · Plant Methods

Smart Agriculture and AIAdvanced Neural Network Applications

Cited by 157

PAN++: Towards Efficient and Accurate End-to-End Spotting of Arbitrarily-Shaped Text

Wang, W., Xie, E., Li, X., Liu, X., Liang, D., Zhibo, Y., Lu, T., & Shen, C. (2021) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Handwritten Text Recognition TechniquesVehicle License Plate Recognition

Cited by 140

Multi-attention Network for One Shot Learning

Wang, P., Liu, L., Shen, C., Huang, Z., Van Den Hengel, A., & Shen, H. T. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 91

A Survey on Efficient Training of Transformers

Zhuang, B., Liu, J., Pan, Z., He, H., Weng, Y., & Shen, C. (2023) · Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence

Advanced Neural Network ApplicationsTopic Modeling

Cited by 78

AQD: Towards Accurate Quantized Object Detection

Chen, P., Liu, J., Zhuang, B., Tan, M., & Shen, C. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 29

Training Compact Neural Networks with Binary Weights and Low Precision Activations

Zhuang, B., Shen, C., & Reid, I. (2018) · arXiv

Advanced Neural Network ApplicationsAdvanced Memory and Neural Computing

Cited by 10

SegAgent: Exploring Pixel Understanding Capabilities in MLLMs by Imitating Human Annotator Trajectories

Zhu, M., Tian, Y., Chen, H., Zhou, C., Guo, Q., Liu, Y., Yang, M., & Shen, C. (2025) · 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 5