21 citations · 33 across the 14 of their papers we have counts for
14 papers
JOintGS: Joint Optimization of Cameras, Bodies and 3D Gaussians for In-the-Wild Monocular Reconstruction
Zihan Lou, Jinlong Fan, Sihan Ma +2
Reconstructing high-fidelity animatable 3D human avatars from monocular RGB videos remains challenging, particularly in unconstrained in-the-wild scenarios where camera parameters…
InpaintHuman: Reconstructing Occluded Humans with Multi-Scale UV Mapping and Identity-Preserving Diffusion Inpainting
Jinlong Fan, Shanshan Zhao, Liang Zheng +3
Reconstructing complete and animatable 3D human avatars from monocular videos remains challenging, particularly under severe occlusions. While 3D Gaussian Splatting has enabled pho…
FMGS-Avatar: Mesh-Guided 2D Gaussian Splatting with Foundation Model Priors for 3D Monocular Avatar Reconstruction
Jinlong Fan, Bingyu Hu, Xingguang Li +2
Reconstructing high-fidelity animatable human avatars from monocular videos remains challenging due to insufficient geometric information in single-view observations. While recent…
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field
Jinlong Fan, Xuepu Zeng, Jing Zhang +3
Dynamic scene representation and reconstruction have undergone transformative advances in recent years, catalyzed by breakthroughs in neural radiance fields and 3D Gaussian splatti…
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…
GLT-T: Global-Local Transformer Voting for 3D Single Object Tracking in Point Clouds
Jiahao Nie, Zhiwei He, Yuxiang Yang +2
Current 3D single object tracking methods are typically based on VoteNet, a 3D region proposal network. Despite the success, using a single seed point feature as the cue for offset…
APT-36K: A Large-scale Benchmark for Animal Pose Estimation and Tracking
Yuxiang Yang, Junjie Yang, Yufei Xu +3
Animal pose estimation and tracking (APT) is a fundamental task for detecting and tracking animal keypoints from a sequence of video frames. Previous animal-related datasets focus…
Learning Localization-aware Target Confidence for Siamese Visual Tracking
Jiahao Nie, Han Wu, Zhiwei He +3
Siamese tracking paradigm has achieved great success, providing effective appearance discrimination and size estimation by the classification and regression. While such a paradigm…
Deep Time-Frequency Representation and Progressive Decision Fusion for ECG Classification
Jing Zhang, Jing Tian, Yang Cao +2
Early recognition of abnormal rhythms in ECG signals is crucial for monitoring and diagnosing patients' cardiac conditions, increasing the success rate of the treatment. Classifyin…