3 citations · 7 across the 6 of their papers we have counts for
6 papers
SiamMo: Siamese Motion-Centric 3D Object Tracking
Yuxiang Yang, Yingqi Deng, Jing Zhang +2
Current 3D single object tracking methods primarily rely on the Siamese matching-based paradigm, which struggles with textureless and incomplete LiDAR point clouds. Conversely, the…
BEVNav: Robot Autonomous Navigation Via Spatial-Temporal Contrastive Learning in Bird's-Eye View
Jiahao Jiang, Yuxiang Yang, Yingqi Deng +2
Goal-driven mobile robot navigation in map-less environments requires effective state representations for reliable decision-making. Inspired by the favorable properties of Bird's-E…
APTv2: Benchmarking Animal Pose Estimation and Tracking with a Large-scale Dataset and Beyond
Yuxiang Yang, Yingqi Deng, Yufei Xu +1
Animal Pose Estimation and Tracking (APT) is a critical task in detecting and monitoring the keypoints of animals across a series of video frames, which is essential for understand…
BEVTrack: A Simple and Strong Baseline for 3D Single Object Tracking in Bird's-Eye View
Yuxiang Yang, Yingqi Deng, Mian Pan +2
3D Single Object Tracking (SOT) is a fundamental task in computer vision and plays a critical role in applications like autonomous driving. However, existing algorithms often invol…
OSP2B: One-Stage Point-to-Box Network for 3D Siamese Tracking
Jiahao Nie, Zhiwei He, Yuxiang Yang +3
Two-stage point-to-box network acts as a critical role in the recent popular 3D Siamese tracking paradigm, which first generates proposals and then predicts corresponding proposal-…
GLT-T++: Global-Local Transformer for 3D Siamese Tracking with Ranking Loss
Jiahao Nie, Zhiwei He, Yuxiang Yang +3
Siamese trackers based on 3D region proposal network (RPN) have shown remarkable success with deep Hough voting. However, using a single seed point feature as the cue for voting fa…