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researcher

Xinge You

7 papers hereh-index 430 citations10 works total

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

author position
  • middle author1
  • last author6

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CV6
  • cs.LG1
same name
  • Xinge You — 22 papers, h 44
  • Xinge You — 16 papers, h 15
  • Xinge You — 10 papers, h 6
  • Xinge You — 1 paper, h 2
  • Xinge You — 1 paper, h 3
  • Xinge You — 1 paper, h 3

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

activity
20242026
collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CV2024

Who Walks With You Matters: Perceiving Social Interactions with Groups for Pedestrian Trajectory Prediction

Ziqian Zou, Conghao Wong, Beihao Xia +2

Understanding and anticipating human movement has become more critical and challenging in diverse applications such as autonomous driving and surveillance. The complex interactions…

cs.CV2024

Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations

Conghao Wong, Ziqian Zou, Beihao Xia +1

Learning to forecast trajectories of intelligent agents has caught much more attention recently. However, it remains a challenge to accurately account for agents' intentions and so…

cs.CV2024

SocialCircle+: Learning the Angle-based Conditioned Interaction Representation for Pedestrian Trajectory Prediction

Conghao Wong, Beihao Xia, Ziqian Zou +1

Trajectory prediction is a crucial aspect of understanding human behaviors. Researchers have made efforts to represent socially interactive behaviors among pedestrians and utilize…

cs.LG2024

Optimal Kernel Choice for Score Function-based Causal Discovery

Wenjie Wang, Biwei Huang, Feng Liu +4

Score-based methods have demonstrated their effectiveness in discovering causal relationships by scoring different causal structures based on their goodness of fit to the data. Rec…

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