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20172021
most citedCross Attention Network for Few-shot Classification

142 citations · 314 across the 11 of their papers we have counts for

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Showing 2019Show all

6 papers · 1 filter

cs.CV2019★ 142 cited

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…

cs.CV2019

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…

cs.CV2019★ 39 cited

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…

cs.CV2019★ 17 cited

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.…

cs.CV2019★ 50 cited

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…

cs.CV2019★ 28 cited

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…