142 citations · 314 across the 11 of their papers we have counts for
6 papers · 1 filter
Cross Attention Network for Few-shot Classification
Ruibing Hou, Hong Chang, Bingpeng Ma +2
Few-shot classification aims to recognize unlabeled samples from unseen classes given only few labeled samples. The unseen classes and low-data problem make few-shot classification…
Temporal Knowledge Propagation for Image-to-Video Person Re-identification
Xinqian Gu, Bingpeng Ma, Hong Chang +2
In many scenarios of Person Re-identification (Re-ID), the gallery set consists of lots of surveillance videos and the query is just an image, thus Re-ID has to be conducted betwee…
Interaction-and-Aggregation Network for Person Re-identification
Ruibing Hou, Bingpeng Ma, Hong Chang +3
Person re-identification (reID) benefits greatly from deep convolutional neural networks (CNNs) which learn robust feature embeddings. However, CNNs are inherently limited in model…
VRSTC: Occlusion-Free Video Person Re-Identification
Ruibing Hou, Bingpeng Ma, Hong Chang +3
Video person re-identification (re-ID) plays an important role in surveillance video analysis. However, the performance of video re-ID degenerates severely under partial occlusion.…
Cascade RetinaNet: Maintaining Consistency for Single-Stage Object Detection
Hongkai Zhang, Hong Chang, Bingpeng Ma +2
Recent researches attempt to improve the detection performance by adopting the idea of cascade for single-stage detectors. In this paper, we analyze and discover that inconsistency…
WIDER Face and Pedestrian Challenge 2018: Methods and Results
Chen Change Loy, Dahua Lin, Wanli Ouyang +49
This paper presents a review of the 2018 WIDER Challenge on Face and Pedestrian. The challenge focuses on the problem of precise localization of human faces and bodies, and accurat…