9 citations · 31 across the 13 of their papers we have counts for
13 papers
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…
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…
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…
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,…
Attribute-guided Feature Learning Network for Vehicle Re-identification
Huibing Wang, Jinjia Peng, Dongyan Chen +3
Vehicle re-identification (reID) plays an important role in the automatic analysis of the increasing urban surveillance videos, which has become a hot topic in recent years. Howeve…
Eliminating cross-camera bias for vehicle re-identification
Jinjia Peng, Guangqi Jiang, Dongyan Chen +3
Vehicle re-identification (reID) often requires recognize a target vehicle in large datasets captured from multi-cameras. It plays an important role in the automatic analysis of th…