activity
20182021
most citedNTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results

23 citations · 54 across the 15 of their papers we have counts for

collaborators

21 papers

cs.LG2021

A unified framework based on graph consensus term for multi-view learning

Xiangzhu Meng, Lin Feng, Chonghui Guo

In recent years, multi-view learning technologies for various applications have attracted a surge of interest. Due to more compatible and complementary information from multiple vi…

cs.CV20203 cited

Unsupervised Vehicle Re-identification with Progressive Adaptation

Jinjia Peng, Yang Wang, Huibing Wang +3

Vehicle re-identification (reID) aims at identifying vehicles across different non-overlapping cameras views. The existing methods heavily relied on well-labeled datasets for ideal…

eess.IV202023 cited

NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results

Andreas Lugmayr, Martin Danelljan, Radu Timofte +43

This paper reviews the NTIRE 2020 challenge on real world super-resolution. It focuses on the participating methods and final results. The challenge addresses the real world settin…

eess.IV20209 cited

NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results

Kai Zhang, Shuhang Gu, Radu Timofte +60

This paper reviews the NTIRE 2020 challenge on perceptual extreme super-resolution with focus on proposed solutions and results. The challenge task was to super-resolve an input im…

cs.CV2020

Discriminative Feature and Dictionary Learning with Part-aware Model for Vehicle Re-identification

Huibing Wang, Jinjia Peng, Guangqi Jiang +2

With the development of smart cities, urban surveillance video analysis will play a further significant role in intelligent transportation systems. Identifying the same target vehi…

cs.CV20201 cited

Purifying Real Images with an Attention-guided Style Transfer Network for Gaze Estimation

Yuxiao Yan, Yang Yan, Jinjia Peng +2

Recently, the progress of learning-by-synthesis has proposed a training model for synthetic images, which can effectively reduce the cost of human and material resources. However,…