| Ntire 2017 challenge on single image super-resolution: Methods and results R Timofte, E Agustsson, L Van Gool, MH Yang, L Zhang Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 1331 | 2017 |
| 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 Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 606 | 2015 |
| Rotation averaging R Hartley, J Trumpf, Y Dai, H Li International journal of computer vision 103, 267-305, 2013 | 579 | 2013 |
| Deep Stacked Hierarchical Multi-patch Network for Image Deblurring H Zhang, Y Dai, H Li, P Koniusz IEEE CVPR 2019. arXiv preprint arXiv:1904.03468, 2019 | 409 | 2019 |
| A simple prior-free method for non-rigid structure-from-motion factorization Y Dai, H Li, M He International Journal of Computer Vision 107, 101-122, 2014 | 295 | 2014 |
| UC-Net: Uncertainty inspired RGB-D saliency detection via conditional variational autoencoders J Zhang, DP Fan, Y Dai, S Anwar, FS Saleh, T Zhang, N Barnes Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 249 | 2020 |
| Skeleton based action recognition using translation-scale invariant image mapping and multi-scale deep CNN B Li, Y Dai, X Cheng, H Chen, Y Lin, M He 2017 IEEE International Conference on Multimedia & Expo Workshops (ICMEW …, 2017 | 229 | 2017 |
| Hierarchical Neural Architecture Search for Deep Stereo Matching X Cheng, Y Zhong, M Harandi, Y Dai, X Chang, T Drummond, H Li, Z Ge NeurIPS 2020 arXiv preprint arXiv:2010.13501, 2020 | 213 | 2020 |
| Weakly-supervised salient object detection via scribble annotations J Zhang, X Yu, A Li, P Song, B Liu, Y Dai Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 188 | 2020 |
| Self-supervised learning for stereo matching with self-improving ability Y Zhong, Y Dai, H Li arXiv preprint arXiv:1709.00930, 2017 | 188 | 2017 |
| Deep unsupervised saliency detection: A multiple noisy labeling perspective J Zhang, T Zhang, Y Dai, M Harandi, R Hartley Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 168 | 2018 |
| Bringing a blurry frame alive at high frame-rate with an event camera L Pan, C Scheerlinck, X Yu, R Hartley, M Liu, Y Dai IEEE Computer Vision and Pattern Recognition 2019 arXiv preprint arXiv:1811 …, 2018 | 162 | 2018 |
| Efficient Global 2D-3D Matching for Camera Localization in a Large-Scale 3D Map L Liu, H Li, Y Dai Proceedings of the IEEE International Conference on Computer Vision, 2372-2381, 2017 | 138 | 2017 |
| ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving X Song, P Wang, D Zhou, R Zhu, C Guan, Y Dai, H Su, H Li, R Yang IEEE Computer Vision and Pattern Recognition 2019 arXiv preprint arXiv:1811 …, 2018 | 129 | 2018 |
| Monocular Depth Estimation with Hierarchical Fusion of Dilated CNNs and Soft-Weighted-Sum Inference B Li, Y Dai, M He Pattern Recognition, 2018 | 128 | 2018 |
| CFNet: Cascade and Fused Cost Volume for Robust Stereo Matching Z Shen, Y Dai, Z Rao IEEE/CVF CVPR 2021 arXiv preprint arXiv:2104.04314, 2021 | 118 | 2021 |
| Simultaneously localize, segment and rank the camouflaged objects L Yunqiu, J Zhang, Y Dai, A Li, B Liu, N Barnes, DP Fan IEEE/CVF CVPR 2021 arXiv preprint arXiv:2103.04011, 2021 | 107* | 2021 |
| Deep depth super-resolution: Learning depth super-resolution using deep convolutional neural network X Song, Y Dai, X Qin Computer Vision–ACCV 2016: 13th Asian Conference on Computer Vision, Taipei …, 2017 | 95 | 2017 |
| Uncertainty-aware Joint Salient Object and Camouflaged Object Detection A Li, J Zhang, Y Lv, B Liu, T Zhang, Y Dai IEEE/CVF CVPR 2021 arXiv preprint arXiv:2104.02628, 2021 | 94 | 2021 |
| Uncertainty inspired RGB-D saliency detection J Zhang, DP Fan, Y Dai, S Anwar, F Saleh, S Aliakbarian, N Barnes IEEE TPAMI Accepted arXiv preprint arXiv:2009.03075, 2020 | 93 | 2020 |
Hongdong LiProfessor of Computer Vision and Learning, Australian National University在 anu.edu.au 的电子邮件经过验证
