2 code implementations • 30 Nov 2020 • Yufei Xu, Jing Zhang, Stephen J. Maybank, DaCheng Tao
In this paper, we attempt to tackle the video stabilization problem in a deep unsupervised learning manner, which borrows the divide-and-conquer idea from traditional stabilizers while leveraging the representation power of DNNs to handle the challenges in real-world scenarios.
1 code implementation • 30 Oct 2020 • Jinlong Fan, Jing Zhang, Stephen J. Maybank, DaCheng Tao
In this paper, we comprehensively survey progress in wide-angle image rectification from transformation models to rectification methods.
1 code implementation • 30 Oct 2020 • Jizhizi Li, Jing Zhang, Stephen J. Maybank, DaCheng Tao
Furthermore, we provide a benchmark containing 2, 000 high-resolution real-world animal images and 10, 000 portrait images along with their manually labeled alpha mattes to serve as a test bed for evaluating matting model's generalization ability on real-world images.
Ranked #2 on Image Matting on AM-2K
1 code implementation • 6 Oct 2020 • Youjian Zhang, Chaoyue Wang, Stephen J. Maybank, DaCheng Tao
However, the motion information contained in a blurry image has yet to be fully explored and accurately formulated because: (i) the ground truth of dynamic motion is difficult to obtain; (ii) the temporal ordering is destroyed during the exposure; and (iii) the motion estimation from a blurry image is highly ill-posed.
1 code implementation • ECCV 2020 • Aishan Liu, Tairan Huang, Xianglong Liu, Yitao Xu, Yuqing Ma, Xinyun Chen, Stephen J. Maybank, DaCheng Tao
Adversarial attacks are valuable for providing insights into the blind-spots of deep learning models and help improve their robustness.
no code implementations • 17 Mar 2020 • Hao Yang, Dan Yan, Li Zhang, Dong Li, YunDa Sun, ShaoDi You, Stephen J. Maybank
It transmits the high-level semantic features to the low-level layers and flows temporal information stage by stage to progressively model global spatial-temporal features for action recognition; (3) The FGCN model provides early predictions.
Ranked #34 on Skeleton Based Action Recognition on NTU RGB+D 120
no code implementations • 12 Jun 2019 • Kan Wang, Changxing Ding, Stephen J. Maybank, DaCheng Tao
Part-level representations are essential for robust person re-identification.
no code implementations • CVPR 2015 • Chen Gong, DaCheng Tao, Wei Liu, Stephen J. Maybank, Meng Fang, Keren Fu, Jie Yang
In the teaching-to-learn step, a teacher is designed to arrange the regions from simple to difficult and then assign the simplest regions to the learner.