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researcher

Yu Kang

10 papers hereh-index 10339 citations46 works total

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

author position
  • middle author5
  • last author4

Across the 9 of 10 papers where every author was matched, so the position is known.

fields
  • cs.CV6
  • cs.AI2
  • cs.LG2
same name
  • Yu Kang — 27 papers, h 20
  • Yu Kang — 6 papers, h 41
  • Yu Kang — 6 papers, h 11
  • Yu Kang — 6 papers, h 22
  • Yu Kang — 5 papers, h 6
  • Yu Kang — 4 papers, h 6

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
20212025
most citedE-MLB: Multilevel Benchmark for Event-Based Camera Denoising

48 citations · 55 across the 10 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CV2024

VMAD: Visual-enhanced Multimodal Large Language Model for Zero-Shot Anomaly Detection

Huilin Deng, Hongchen Luo, Wei Zhai +2

Zero-shot anomaly detection (ZSAD) recognizes and localizes anomalies in previously unseen objects by establishing feature mapping between textual prompts and inspection images, de…

cs.CV2024★ 4 cited

PEAR: Phrase-Based Hand-Object Interaction Anticipation

Zichen Zhang, Hongchen Luo, Wei Zhai +2

First-person hand-object interaction anticipation aims to predict the interaction process over a forthcoming period based on current scenes and prompts. This capability is crucial…

cs.CV2024★ 2 cited

Bidirectional Progressive Transformer for Interaction Intention Anticipation

Zichen Zhang, Hongchen Luo, Wei Zhai +2

Interaction intention anticipation aims to jointly predict future hand trajectories and interaction hotspots. Existing research often treated trajectory forecasting and interaction…

cs.AI2024★ 1 cited

Benchmarking General-Purpose In-Context Learning

Fan Wang, Chuan Lin, Yang Cao +1

In-context learning (ICL) empowers generative models to address new tasks effectively and efficiently on the fly, without relying on any artificially crafted optimization technique…

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