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Bin Wang

15 papers here

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

author position
  • first author3
  • middle author8
  • last author4

Across the 15 of 15 papers where every author was matched, so the position is known.

fields
  • cs.CV5
  • cs.LG4
  • cs.AI1
  • cs.CL1
  • cs.CR1
  • cs.NI1
ORCID 0000-0002-3790-2708
same name
  • Bin Wang — 122 papers, h 54
  • Bin Wang — 18 papers
  • Bin Wang — 14 papers
  • Bin Wang — 10 papers
  • Bin Wang — 10 papers
  • Bin Wang — 9 papers

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
20142024
most citedKnowledge Graph Embedding with Iterative Guidance from Soft Rules

23 citations · 74 across the 15 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2023

Robust Backdoor Attacks on Object Detection in Real World

Yaguan Qian, Boyuan Ji, Shuke He +4

Deep learning models are widely deployed in many applications, such as object detection in various security fields. However, these models are vulnerable to backdoor attacks. Most b…

cs.CV2023★ 8 cited

GazeSAM: What You See is What You Segment

Bin Wang, Armstrong Aboah, Zheyuan Zhang +1

This study investigates the potential of eye-tracking technology and the Segment Anything Model (SAM) to design a collaborative human-computer interaction system that automates med…

cs.CV2023★ 15 cited

Real-time Multi-Class Helmet Violation Detection Using Few-Shot Data Sampling Technique and YOLOv8

Armstrong Aboah, Bin Wang, Ulas Bagci +1

Traffic safety is a major global concern. Helmet usage is a key factor in preventing head injuries and fatalities caused by motorcycle accidents. However, helmet usage violations c…

cs.CV2022

Towards the Desirable Decision Boundary by Moderate-Margin Adversarial Training

Xiaoyu Liang, Yaguan Qian, Jianchang Huang +4

Adversarial training, as one of the most effective defense methods against adversarial attacks, tends to learn an inclusive decision boundary to increase the robustness of deep lea…

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