activity
20202022
most citedChained-Tracker: Chaining Paired Attentive Regression Results for End-to-End Joint Multiple-Object Detection and Tracking

32 citations · 37 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CV20225 cited

FRIH: Fine-grained Region-aware Image Harmonization

Jinlong Peng, Zekun Luo, Liang Liu +6

Image harmonization aims to generate a more realistic appearance of foreground and background for a composite image. Existing methods perform the same harmonization process for 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…

cs.CV2020

Delving into the Cyclic Mechanism in Semi-supervised Video Object Segmentation

Yuxi Li, Ning Xu, Jinlong Peng +2

In this paper, we address several inadequacies of current video object segmentation pipelines. Firstly, a cyclic mechanism is incorporated to the standard semi-supervised process t…

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.CV2020

Dense Scene Multiple Object Tracking with Box-Plane Matching

Jinlong Peng, Yueyang Gu, Yabiao Wang +3

Multiple Object Tracking (MOT) is an important task in computer vision. MOT is still challenging due to the occlusion problem, especially in dense scenes. Following the tracking-by…