326 citations · 2.5k across the 46 of their papers we have counts for
6 papers · 1 filter
WSNet: Compact and Efficient Networks Through Weight Sampling
Xiaojie Jin, Yingzhen Yang, Ning Xu +4
We present a new approach and a novel architecture, termed WSNet, for learning compact and efficient deep neural networks. Existing approaches conventionally learn full model param…
Learning to Segment Human by Watching YouTube
Xiaodan Liang, Yunchao Wei, Liang Lin +4
An intuition on human segmentation is that when a human is moving in a video, the video-context (e.g., appearance and motion clues) may potentially infer reasonable mask informatio…
Robust Emotion Recognition from Low Quality and Low Bit Rate Video: A Deep Learning Approach
Bowen Cheng, Zhangyang Wang, Zhaobin Zhang +5
Emotion recognition from facial expressions is tremendously useful, especially when coupled with smart devices and wireless multimedia applications. However, the inadequate network…
On the Suboptimality of Proximal Gradient Descent for Sparse Approximation
Yingzhen Yang, Jiashi Feng, Nebojsa Jojic +2
We study the proximal gradient descent (PGD) method for sparse approximation problem as well as its accelerated optimization with randomized algorithms in this paper. We…
Learning from Noisy Labels with Distillation
Yuncheng Li, Jianchao Yang, Yale Song +3
The ability of learning from noisy labels is very useful in many visual recognition tasks, as a vast amount of data with noisy labels are relatively easy to obtain. Traditionally,…
Local Patch Encoding-Based Method for Single Image Super-Resolution
Yang Zhao, Ronggang Wang, Wei Jia +3
Recent learning-based super-resolution (SR) methods often focus on dictionary learning or network training. In this paper, we discuss in detail a new SR method based on local patch…