24 citations · 66 across the 10 of their papers we have counts for
12 papers
MAETrack: Unleashing the Potential of Pretrained Geometric Priors for 3D Single Object Tracking
Sifan Zhou, Qiwei Wang, Linyue Tan +3
Large-scale pre-training has transformed representation learning in 2D vision, yet its transferability to 3D single object tracking (SOT) remains insufficiently understood. Directl…
SAVTrack: Selective Vote Aggregation for Reliability-Aware Point Cloud Tracking
Sifan Zhou, Linyue Tan, Qiwei Wang +2
3D single object tracking (SOT) in LiDAR point clouds is essential for autonomous systems, but remains challenging under sparse and incomplete observations. In such cases, differen…
COAL: Counterfactual and Observation-Enhanced Alignment Learning for Discriminative Referring Multi-Object Tracking
Shukun Jia, Shiyu Hu, Yipei Wang +3
Referring Multi-Object Tracking (RMOT) faces a fundamental structural contradiction between the high-discriminability demand and the sparse semantic supervision. This mismatch is p…
Information Entropy Guided Height-aware Histogram for Quantization-friendly Pillar Feature Encoder
Sifan Zhou, Zhihang Yuan, Dawei Yang +5
Real-time and high-performance 3D object detection plays a critical role in autonomous driving and robotics. Recent pillar-based 3D object detectors have gained significant attenti…
LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object Detection
Sifan Zhou, Liang Li, Xinyu Zhang +6
Due to highly constrained computing power and memory, deploying 3D lidar-based detectors on edge devices equipped in autonomous vehicles and robots poses a crucial challenge. Being…
Attributes Grouping and Mining Hashing for Fine-Grained Image Retrieval
Xin Lu, Shikun Chen, Yichao Cao +2
In recent years, hashing methods have been popular in the large-scale media search for low storage and strong representation capabilities. To describe objects with similar overall…