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Bin Yang

4 papers hereh-index 493 citations8 works total

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

author position
  • middle author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • eess.IV1
same name
  • Bin Yang — 37 papers, h 12
  • Bin Yang — 30 papers, h 21
  • Bin Yang — 30 papers, h 11
  • Bin Yang — 14 papers, h 34
  • Bin Yang — 11 papers, h 15
  • Bin Yang — 10 papers, h 18

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
20222026
most citedOn-Board Pedestrian Trajectory Prediction Using Behavioral Features

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

eess.IV2026

SMAC: Spatial-Modal Joint Modeling and Adaptive Representation Collapse for Multimodal Object Tracking

Meijing Gao, Qitai Sun, Huanyu Sun +5

Multimodal multi-object tracking (MOT) under complex illumination remains challenging due to insufficient joint modeling of spatial and modal features and the limited adaptability…

cs.CV2023

Towards Unsupervised Object Detection From LiDAR Point Clouds

Lunjun Zhang, Anqi Joyce Yang, Yuwen Xiong +4

In this paper, we study the problem of unsupervised object detection from 3D point clouds in self-driving scenes. We present a simple yet effective method that exploits (i) point c…

cs.CV2022★ 1 cited

On-Board Pedestrian Trajectory Prediction Using Behavioral Features

Phillip Czech, Markus Braun, Ulrich Kreßel +1

This paper presents a novel approach to pedestrian trajectory prediction for on-board camera systems, which utilizes behavioral features of pedestrians that can be inferred from vi…

cs.CV2022

Few-Shot Object Detection in Unseen Domains

Karim Guirguis, George Eskandar, Matthias Kayser +2

Few-shot object detection (FSOD) has thrived in recent years to learn novel object classes with limited data by transferring knowledge gained on abundant base classes. FSOD approac…

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