107 citations · 212 across the 7 of their papers we have counts for
8 papers
Point-aware Interaction and CNN-induced Refinement Network for RGB-D Salient Object Detection
Runmin Cong, Hongyu Liu, Chen Zhang +4
By integrating complementary information from RGB image and depth map, the ability of salient object detection (SOD) for complex and challenging scenes can be improved. In recent y…
Does Thermal Really Always Matter for RGB-T Salient Object Detection?
Runmin Cong, Kepu Zhang, Chen Zhang +4
In recent years, RGB-T salient object detection (SOD) has attracted continuous attention, which makes it possible to identify salient objects in environments such as low light by i…
Pose-Aided Video-based Person Re-Identification via Recurrent Graph Convolutional Network
Honghu Pan, Qiao Liu, Yongyong Chen +4
Existing methods for video-based person re-identification (ReID) mainly learn the appearance feature of a given pedestrian via a feature extractor and a feature aggregator. However…
Skating-Mixer: Long-Term Sport Audio-Visual Modeling with MLPs
Jingfei Xia, Mingchen Zhuge, Tiantian Geng +4
Figure skating scoring is challenging because it requires judging the technical moves of the players as well as their coordination with the background music. Most learning-based me…
DepthTrack : Unveiling the Power of RGBD Tracking
Song Yan, Jinyu Yang, Jani Käpylä +3
RGBD (RGB plus depth) object tracking is gaining momentum as RGBD sensors have become popular in many application fields such as robotics.However, the best RGBD trackers are extens…
Saliency-Associated Object Tracking
Zikun Zhou, Wenjie Pei, Xin Li +3
Most existing trackers based on deep learning perform tracking in a holistic strategy, which aims to learn deep representations of the whole target for localizing the target. It is…