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Object detectors that solely rely on image contrast are struggling to detect camouflaged objects in images because of the high …

Temporal action localization aims at localizing action instances from untrimmed videos. Existing works have designed various effective …

Onfocus detection aims at identifying whether the focus of the individual captured by a camera is on the camera or not. Based on the …

Semantic segmentation with limited annotations, such as weakly supervised semantic segmentation (WSSS) and semi-supervised semantic …

Recovering 3D voxelized shapes with fine details from single-view 2D images is an extremely challenging and ill-conditioned problem. …

Decoupling the sibling head has recently shown great potential in relieving the inherent task-misalignment problem in two-stage object …

Face parsing aims to assign pixel-wise semantic labels to different facial components (e.g., hair, brows, and lips) in given face …

Recently, video object segmentation has received great attention in the computer vision community. Most of the existing methods heavily …

Weakly supervised temporal action localization is a newly emerging yet widely studied topic in recent years. The existing methods can …

For alleviating the human labor associated with annotating the training data for learning object detectors, recent research has focused …