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Binglu Wang

8 papers here

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

author position
  • first author3
  • middle author3
  • last author1

Across the 7 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • eess.IV2
  • cs.LG1
  • eess.SP1
ORCID 0000-0002-9266-4685
same name
  • Binglu Wang — 2 papers, h 1
  • Binglu Wang — 1 paper, h 3
  • Binglu Wang — 1 paper, h 4
  • Binglu Wang — 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
20212024
most citedCan large language models provide useful feedback on research papers? A large-scale empirical analysis

45 citations · 49 across the 8 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2024★ 1 cited

Boosting Gaze Object Prediction via Pixel-level Supervision from Vision Foundation Model

Yang Jin, Lei Zhang, Shi Yan +2

Gaze object prediction (GOP) aims to predict the category and location of the object that a human is looking at. Previous methods utilized box-level supervision to identify the obj…

cs.CV2024

Vision-based Wearable Steering Assistance for People with Impaired Vision in Jogging

Xiaotong Liu, Binglu Wang, Zhijun Li

Outdoor sports pose a challenge for people with impaired vision. The demand for higher-speed mobility inspired us to develop a vision-based wearable steering assistance. To ensure…

cs.CV2024

TransGOP: Transformer-Based Gaze Object Prediction

Binglu Wang, Chenxi Guo, Yang Jin +2

Gaze object prediction aims to predict the location and category of the object that is watched by a human. Previous gaze object prediction works use CNN-based object detectors to p…

cs.CV2023★ 1 cited

CORE: Cooperative Reconstruction for Multi-Agent Perception

Binglu Wang, Lei Zhang, Zhaozhong Wang +2

This paper presents CORE, a conceptually simple, effective and communication-efficient model for multi-agent cooperative perception. It addresses the task from a novel perspective…

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