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Sifan Zhou

6 papers hereh-index 443 citations11 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author3

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.LG2
same name
  • Sifan Zhou — 15 papers, h 11
  • Sifan Zhou — 8 papers, h 9
  • Sifan Zhou — 6 papers, h 2
  • Sifan Zhou — 4 papers, h 3
  • Sifan Zhou — 3 papers, h 2
  • Sifan Zhou — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedTimeLDM: Latent Diffusion Model for Unconditional Time Series Generation

3 citations · 3 across the 4 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

TFTrack: A Template-Free Framework for Efficient 3D Point Cloud Tracking

Zhaofeng Hu, Sifan Zhou, Jiahao Nie +3

LiDAR-based 3D Single Object Tracking (3D SOT) is critical for robotic perception and navigation and aims to localize dynamic objects across frames in sparse point clouds. Existing…

cs.CV2026

FocusTrack: One-Stage Focus-and-Suppress Framework for 3D Point Cloud Object Tracking

Sifan Zhou, Jiahao Nie, Ziyu Zhao +2

In 3D point cloud object tracking, the motion-centric methods have emerged as a promising avenue due to its superior performance in modeling inter-frame motion. However, existing t…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.