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20182022
most citedChained-Tracker: Chaining Paired Attentive Regression Results for End-to-End Joint Multiple-Object Detection and Tracking

32 citations · 212 across the 21 of their papers we have counts for

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Showing 2021Show all

10 papers · 1 filter

cs.CV2021★ 1 cited

LCTR: On Awakening the Local Continuity of Transformer for Weakly Supervised Object Localization

Zhiwei Chen, Changan Wang, Yabiao Wang +6

Weakly supervised object localization (WSOL) aims to learn object localizer solely by using image-level labels. The convolution neural network (CNN) based techniques often result i…

cs.CV2021★ 4 cited

Ranking Distance Calibration for Cross-Domain Few-Shot Learning

Pan Li, Shaogang Gong, Chengjie Wang +1

Recent progress in few-shot learning promotes a more realistic cross-domain setting, where the source and target datasets are from different domains. Due to the domain gap and disj…

cs.CV2021★ 1 cited

LSTC: Boosting Atomic Action Detection with Long-Short-Term Context

Yuxi Li, Boshen Zhang, Jian Li +5

In this paper, we place the atomic action detection problem into a Long-Short Term Context (LSTC) to analyze how the temporal reliance among video signals affect the action detecti…

cs.CV2021★ 24 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.CV2021

SiamRCR: Reciprocal Classification and Regression for Visual Object Tracking

Jinlong Peng, Zhengkai Jiang, Yueyang Gu +5

Recently, most siamese network based trackers locate targets via object classification and bounding-box regression. Generally, they select the bounding-box with maximum classificat…