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Kean Chen

4 accepted papers

2021

End-to-End Video Instance Segmentation via Spatial-Temporal Graph Neural Networks

ICCV 2021poster

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 the detection and segmentation subproblems or handle tracking as a separate post-processing step, which limit their capabi…

Cited by 38PDFcodeScholar
2020

PIoU Loss: Towards Accurate Oriented Object Detection in Complex Environments

ECCV 2020poster

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 horizontal bounding box detectors by introducing an additional angle dimension optimized by a distance loss. However, as…

2019

Towards Accurate One-Stage Object Detection With AP-Loss

CVPR 2019poster

One-stage object detectors are trained by optimizing classification-loss and localization-loss simultaneously, with the former suffering much from extreme foreground-background class imbalance issue due to the large number of anchors. This paper alleviates this issue by proposing a novel framework t…

Cited by 173PDFcodeScholar