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20182023
most citedChained-Tracker: Chaining Paired Attentive Regression Results for End-to-End Joint Multiple-Object Detection and Tracking

32 citations · 57 across the 4 of their papers we have counts for

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5 papers · 1 filter

cs.CV20231 cited

RFENet: Towards Reciprocal Feature Evolution for Glass Segmentation

Ke Fan, Changan Wang, Yabiao Wang +3

Glass-like objects are widespread in daily life but remain intractable to be segmented for most existing methods. The transparent property makes it difficult to be distinguished fr…

cs.CV202124 cited

Rethinking Counting and Localization in Crowds:A Purely Point-Based Framework

Qingyu Song, Changan Wang, Zhengkai Jiang +6

Localizing individuals in crowds is more in accordance with the practical demands of subsequent high-level crowd analysis tasks than simply counting. However, existing localization…

cs.CV2021

Uniformity in Heterogeneity:Diving Deep into Count Interval Partition for Crowd Counting

Changan Wang, Qingyu Song, Boshen Zhang +7

Recently, the problem of inaccurate learning targets in crowd counting draws increasing attention. Inspired by a few pioneering work, we solve this problem by trying to predict the…

cs.CV202032 cited

Chained-Tracker: Chaining Paired Attentive Regression Results for End-to-End Joint Multiple-Object Detection and Tracking

Jinlong Peng, Changan Wang, Fangbin Wan +7

Existing Multiple-Object Tracking (MOT) methods either follow the tracking-by-detection paradigm to conduct object detection, feature extraction and data association separately, or…

cs.CV2018

DSFD: Dual Shot Face Detector

Jian Li, Yabiao Wang, Changan Wang +6

In this paper, we propose a novel face detection network with three novel contributions that address three key aspects of face detection, including better feature learning, progres…