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Haibin Ling

4 papers here

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

author position
  • middle author1
  • last author3

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

fields
  • cs.CV4
same name
  • Haibin Ling — 70 papers, h 90
  • Haibin Ling — 10 papers, h 4
  • Haibin Ling — 9 papers
  • Haibin Ling — 8 papers, h 2
  • Haibin Ling — 6 papers, h 8
  • Haibin Ling — 6 papers, h 7

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 citedINSURE: An Information Theory Inspired Disentanglement and Purification Model for Domain Generalization

2 citations · 3 across the 2 of their papers we have counts for

collaborators

4 papers

cs.CV2024

Efficient Temporal Action Segmentation via Boundary-aware Query Voting

Peiyao Wang, Yuewei Lin, Erik Blasch +2

Although the performance of Temporal Action Segmentation (TAS) has improved in recent years, achieving promising results often comes with a high computational cost due to dense inp…

cs.CV2023

Image Prior and Posterior Conditional Probability Representation for Efficient Damage Assessment

Jie Wei, Weicong Feng, Erik Blasch +2

It is important to quantify Damage Assessment (DA) for Human Assistance and Disaster Response (HADR) applications. In this paper, to achieve efficient and scalable DA in HADR, an i…

cs.CV2023★ 1 cited

Transparent Object Tracking with Enhanced Fusion Module

Kalyan Garigapati, Erik Blasch, Jie Wei +1

Accurate tracking of transparent objects, such as glasses, plays a critical role in many robotic tasks such as robot-assisted living. Due to the adaptive and often reflective textu…

cs.CV2023★ 2 cited

INSURE: An Information Theory Inspired Disentanglement and Purification Model for Domain Generalization

Xi Yu, Huan-Hsin Tseng, Shinjae Yoo +2

Domain Generalization (DG) aims to learn a generalizable model on the unseen target domain by only training on the multiple observed source domains. Although a variety of DG method…

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