3.4k citations · 7.8k across the 22 of their papers we have counts for
22 papers
Adversarial Reweighting with -Power Maximization for Domain Adaptation
Xiang Gu, Xi Yu, Yan Yang +2
The practical Domain Adaptation (DA) tasks, e.g., Partial DA (PDA), open-set DA, universal DA, and test-time adaptation, have gained increasing attention in the machine learning co…
End-to-end Interpretable Learning of Non-blind Image Deblurring
Thomas Eboli, Jian Sun, Jean Ponce
Non-blind image deblurring is typically formulated as a linear least-squares problem regularized by natural priors on the corresponding sharp picture's gradients, which can be solv…
Structured and Localized Image Restoration
Thomas Eboli, Alex Nowak-Vila, Jian Sun +3
We present a novel approach to image restoration that leverages ideas from localized structured prediction and non-linear multi-task learning. We optimize a penalized energy functi…
Perceive Where to Focus: Learning Visibility-aware Part-level Features for Partial Person Re-identification
Yifan Sun, Qin Xu, Yali Li +4
This paper considers a realistic problem in person re-identification (re-ID) task, i.e., partial re-ID. Under partial re-ID scenario, the images may contain a partial observation o…
HyperAdam: A Learnable Task-Adaptive Adam for Network Training
Shipeng Wang, Jian Sun, Zongben Xu
Deep neural networks are traditionally trained using human-designed stochastic optimization algorithms, such as SGD and Adam. Recently, the approach of learning to optimize network…
Learning Spectral Transform Network on 3D Surface for Non-rigid Shape Analysis
Ruixuan Yu, Jian Sun, Huibin Li
Designing a network on 3D surface for non-rigid shape analysis is a challenging task. In this work, we propose a novel spectral transform network on 3D surface to learn shape descr…