| Refinenet: Multi-path refinement networks for high-resolution semantic segmentation G Lin, A Milan, C Shen, I Reid IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 | 2419 | 2017 |
| FCOS: Fully Convolutional One-Stage Object Detection Z Tian, C Shen, H Chen, T He Proc. Int. Conf. Computer Vision (ICCV), 2019 | 2157 | 2019 |
| 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 | 1715* | 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 | 1090 | 2016 |
| Supervised Discrete Hashing F Shen, C Shen, W Liu, HT Shen IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2015 | 1045 | 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 | 988 | 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 | 921 | 2015 |
| Wider or Deeper: Revisiting the ResNet Model for Visual Recognition Z Wu, C Shen, A Hengel Pattern Recognition, 2016 | 909 | 2016 |
| 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 | 847 | 2013 |
| 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 Proc. IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 1119-1127, 2015 | 546 | 2015 |
| 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 | 517* | 2020 |
| Learning to rank in person re-identification with metric ensembles S Paisitkriangkrai, C Shen, A Hengel IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2015 | 507 | 2015 |
| Deep Learning for Anomaly Detection: A Review G Pang, C Shen, L Cao, AVD Hengel ACM Computing Surveys (CSUR) 54 (2), 1-38, 2021 | 481 | 2021 |
| What value do explicit high level concepts have in vision to language problems? Q Wu, C Shen, L Liu, A Dick, A van den Hengel IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2016 | 461 | 2016 |
| 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 | 436 | 2018 |
| Fast Supervised Hashing with Decision Trees for High-Dimensional Data G Lin, C Shen, Q Shi, A Hengel, D Suter IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2014 | 436 | 2014 |
| Real-time visual tracking using compressive sensing H Li, C Shen, Q Shi IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 1305-1312, 2011 | 419 | 2011 |
| Ask Me Anything: Free-form Visual Question Answering Based on Knowledge from External Sources Q Wu, P Wang, C Shen, A Hengel, A Dick IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2016 | 360 | 2016 |
| Repulsion Loss: Detecting Pedestrians in a Crowd X Wang, T Xiao, Y Jiang, S Shao, J Sun, C Shen IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2018 | 355 | 2018 |
| Is face recognition really a compressive sensing problem? Q Shi, A Eriksson, A Van Den Hengel, C Shen IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 553-560, 2011 | 350 | 2011 |
Anton van den HengelDirector of Applied Science at Amazon and Director of the Centre for Augmented Reasoning at AIML.在 adelaide.edu.au 的电子邮件经过验证
