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Nam Hyeon-Woo

5 papers hereh-index 5101 citations11 works total

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

author position
  • first author2
  • middle author3

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.AI1
same name
  • Nam Hyeon-Woo — 1 paper

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 citedScratching Visual Transformer's Back with Uniform Attention

2 citations · 2 across the 4 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

Early Failure Detection and Intervention in Video Diffusion Models

Kwon Byung-Ki, Sohwi Lim, Nam Hyeon-Woo +2

Text-to-video (T2V) diffusion models have rapidly advanced, yet generations still occasionally fail in practice, such as low text-video alignment or low perceptual quality. Since d…

cs.CV2025

Patch-wise Retrieval: A Bag of Practical Techniques for Instance-level Matching

Wonseok Choi, Sohwi Lim, Nam Hyeon-Woo +4

Instance-level image retrieval aims to find images containing the same object as a given query, despite variations in size, position, or appearance. To address this challenging tas…

cs.CV2024

VLM's Eye Examination: Instruct and Inspect Visual Competency of Vision Language Models

Nam Hyeon-Woo, Moon Ye-Bin, Wonseok Choi +2

Vision language models (VLMs) have shown promising reasoning capabilities across various benchmarks; however, our understanding of their visual perception remains limited. In this…

cs.CV2022★ 2 cited

Scratching Visual Transformer's Back with Uniform Attention

Nam Hyeon-Woo, Kim Yu-Ji, Byeongho Heo +3

The favorable performance of Vision Transformers (ViTs) is often attributed to the multi-head self-attention (MSA). The MSA enables global interactions at each layer of a ViT model…

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