Deep Learning

Applying NeRF to downstream perception tasks for scene understanding and representation is becoming increasingly popular. Most existing …

Improving the resolution of magnetic resonance (MR) image data is critical to computer-aided diagnosis and brain function analysis. …

Online action detection has attracted increasing research interests in recent years. Current works model historical dependencies and …

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 …

Zero-shot object detection aims at incorporating class semantic vectors to realize the detection of (both seen and) unseen classes …

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 …

Weakly supervised object localization (WSOL) aims at learning to localize objects of interest by only using the image-level labels as …