activity
20152023
most citedDeep Multimodal Speaker Naming

38 citations · 124 across the 16 of their papers we have counts for

collaborators
Showing 2019Show all

6 papers · 1 filter

cs.LG2019

Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning

Zhanghan Ke, Daoye Wang, Qiong Yan +2

Recently, consistency-based methods have achieved state-of-the-art results in semi-supervised learning (SSL). These methods always involve two roles, an explicit or implicit teache…

eess.IV2019

Image Formation Model Guided Deep Image Super-Resolution

Jinshan Pan, Yang Liu, Deqing Sun +4

We present a simple and effective image super-resolution algorithm that imposes an image formation constraint on the deep neural networks via pixel substitution. The proposed algor…

eess.IV2019

Rethinking Learning-based Demosaicing, Denoising, and Super-Resolution Pipeline

Guocheng Qian, Yuanhao Wang, Jinjin Gu +4

Imaging is usually a mixture problem of incomplete color sampling, noise degradation, and limited resolution. This mixture problem is typically solved by a sequential solution that…

cs.CV2019★ 6 cited

Generalizing Monocular 3D Human Pose Estimation in the Wild

Luyang Wang, Yan Chen, Zhenhua Guo +4

The availability of the large-scale labeled 3D poses in the Human3.6M dataset plays an important role in advancing the algorithms for 3D human pose estimation from a still image. W…

cs.CV2019★ 6 cited

DAVANet: Stereo Deblurring with View Aggregation

Shangchen Zhou, Jiawei Zhang, Wangmeng Zuo +3

Nowadays stereo cameras are more commonly adopted in emerging devices such as dual-lens smartphones and unmanned aerial vehicles. However, they also suffer from blurry images in dy…

cs.CV2019

Spatio-Temporal Filter Adaptive Network for Video Deblurring

Shangchen Zhou, Jiawei Zhang, Jinshan Pan +3

Video deblurring is a challenging task due to the spatially variant blur caused by camera shake, object motions, and depth variations, etc. Existing methods usually estimate optica…