| FCOS: Fully Convolutional One-Stage Object Detection Z Tian, C Shen, H Chen, T He Proc. Int. Conf. Computer Vision (ICCV), 2019 | 3737 | 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 | 2979 | 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 | 2060* | 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 | 1262 | 2016 |
| Wider or Deeper: Revisiting the ResNet Model for Visual Recognition Z Wu, C Shen, A Hengel Pattern Recognition, 2016 | 1216 | 2016 |
| Supervised Discrete Hashing F Shen, C Shen, W Liu, HT Shen IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2015 | 1169 | 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 | 1085 | 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 | 1081 | 2021 |
| 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 | 1031 | 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 | 897 | 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 | 724* | 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 | 604 | 2015 |
| 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 | 538 | 2018 |
| 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 | 522 | 2015 |
| 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 | 517 | 2016 |
| 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 | 515 | 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 | 512 | 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 | 504 | 2021 |
| SOLO: Segmenting Objects by Locations X Wang, T Kong, C Shen, Y Jiang, L Li Proc. Eur. Conf. Computer Vision (ECCV), 2020 | 503 | 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 | 487 | 2021 |
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
