activity
20122017
most citedDeep Networks for Image Super-Resolution with Sparse Prior

122 citations · 137 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2017

Robust Lane Tracking with Multi-mode Observation Model and Particle Filtering

Jiawei Huang, Zhaowen Wang

Automatic lane tracking involves estimating the underlying signal from a sequence of noisy signal observations. Many models and methods have been proposed for lane tracking, and dy…

cs.CV2017★ 2 cited

Learning a Mixture of Deep Networks for Single Image Super-Resolution

Ding Liu, Zhaowen Wang, Nasser Nasrabadi +1

Single image super-resolution (SR) is an ill-posed problem which aims to recover high-resolution (HR) images from their low-resolution (LR) observations. The crux of this problem l…

cs.CV2015★ 122 cited

Deep Networks for Image Super-Resolution with Sparse Prior

Zhaowen Wang, Ding Liu, Jianchao Yang +2

Deep learning techniques have been successfully applied in many areas of computer vision, including low-level image restoration problems. For image super-resolution, several models…

cs.CV2014

Scalable Similarity Learning using Large Margin Neighborhood Embedding

Zhaowen Wang, Jianchao Yang, Zhe Lin +3

Classifying large-scale image data into object categories is an important problem that has received increasing research attention. Given the huge amount of data, non-parametric app…

cs.CV2012★ 13 cited

Substructure and Boundary Modeling for Continuous Action Recognition

Zhaowen Wang, Jinjun Wang, Jing Xiao +2

This paper introduces a probabilistic graphical model for continuous action recognition with two novel components: substructure transition model and discriminative boundary model.…