activity
20162019
most citedAttentive Action and Context Factorization

5 citations · 5 across the 1 of their papers we have counts for

collaborators

7 papers

cs.CV20195 cited

Attentive Action and Context Factorization

Yang Wang, Vinh Tran, Gedas Bertasius +2

We propose a method for human action recognition, one that can localize the spatiotemporal regions that `define' the actions. This is a challenging task due to the subtlety of huma…

cs.CV2019

Contextual Attention for Hand Detection in the Wild

Supreeth Narasimhaswamy, Zhengwei Wei, Yang Wang +2

We present Hand-CNN, a novel convolutional network architecture for detecting hand masks and predicting hand orientations in unconstrained images. Hand-CNN extends MaskRCNN with a…

cs.CV2019

When AWGN-based Denoiser Meets Real Noises

Yuqian Zhou, Jianbo Jiao, Haibin Huang +4

Discriminative learning-based image denoisers have achieved promising performance on synthetic noises such as Additive White Gaussian Noise (AWGN). The synthetic noises adopted in…

cs.CV2019

GIF2Video: Color Dequantization and Temporal Interpolation of GIF images

Yang Wang, Haibin Huang, Chuan Wang +3

Graphics Interchange Format (GIF) is a highly portable graphics format that is ubiquitous on the Internet. Despite their small sizes, GIF images often contain undesirable visual ar…

cs.CV2018

Every Pixel Counts ++: Joint Learning of Geometry and Motion with 3D Holistic Understanding

Chenxu Luo, Zhenheng Yang, Peng Wang +4

Learning to estimate 3D geometry in a single frame and optical flow from consecutive frames by watching unlabeled videos via deep convolutional network has made significant progres…

cs.CV2018

Where-and-When to Look: Deep Siamese Attention Networks for Video-based Person Re-identification

Lin Wu, Yang Wang, Junbin Gao +1

Video-based person re-identification (re-id) is a central application in surveillance systems with significant concern in security. Matching persons across disjoint camera views in…