activity
20192023
most citedTowards Accurate One-Stage Object Detection with AP-Loss

135 citations · 286 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023★ 47 cited

Spatio-Temporal Point Process for Multiple Object Tracking

Tao Wang, Kean Chen, Weiyao Lin +4

Multiple Object Tracking (MOT) focuses on modeling the relationship of detected objects among consecutive frames and merge them into different trajectories. MOT remains a challengi…

cs.CV2022

End-to-end video instance segmentation via spatial-temporal graph neural networks

Tao Wang, Ning Xu, Kean Chen +1

Video instance segmentation is a challenging task that extends image instance segmentation to the video domain. Existing methods either rely only on single-frame information for th…

cs.CV2020★ 87 cited

AP-Loss for Accurate One-Stage Object Detection

Kean Chen, Weiyao Lin, Jianguo Li +3

One-stage object detectors are trained by optimizing classification-loss and localization-loss simultaneously, with the former suffering much from extreme foreground-background cla…

cs.CV2020★ 17 cited

PIoU Loss: Towards Accurate Oriented Object Detection in Complex Environments

Zhiming Chen, Kean Chen, Weiyao Lin +4

Object detection using an oriented bounding box (OBB) can better target rotated objects by reducing the overlap with background areas. Existing OBB approaches are mostly built on h…

cs.CV2019★ 135 cited

Towards Accurate One-Stage Object Detection with AP-Loss

Kean Chen, Jianguo Li, Weiyao Lin +6

One-stage object detectors are trained by optimizing classification-loss and localization-loss simultaneously, with the former suffering much from extreme foreground-background cla…