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J. Song

4 papers hereh-index 6192 citations16 works total

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

author position
  • first author3
  • middle author1

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

fields
  • cs.CV3
  • eess.IV1
same name
  • J. Song — 248 papers, h 14
  • J. Song — 118 papers, h 9
  • J. Song — 103 papers, h 26
  • J. Song — 79 papers
  • J. Song — 74 papers, h 8
  • J. Song — 71 papers, h 5

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 citedAnoSeg: Anomaly Segmentation Network Using Self-Supervised Learning

39 citations · 41 across the 3 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2026

Structured Redundancy Modeling for Efficient Visual Token Pruning in High-Resolution MLLMs

Jouwon Song, Woohyeong Kim, Kyeongbo Kong

Recent high-resolution Multimodal Large Language Models (MLLMs) generate thousands of visual tokens per input, leading to a visual token explosion that introduces severe latency bo…

cs.CV2026

AgilePruner: An Empirical Study of Attention and Diversity for Adaptive Visual Token Pruning in Large Vision-Language Models

Changwoo Baek, Jouwon Song, Sohyeon Kim +1

Large Vision-Language Models (LVLMs) have adopted visual token pruning strategies to mitigate substantial computational overhead incurred by extensive visual token sequences. While…

cs.CV2021★ 2 cited

Attention Map-guided Two-stage Anomaly Detection using Hard Augmentation

Jou Won Song, Kyeongbo Kong, Ye In Park +1

Anomaly detection is a task that recognizes whether an input sample is included in the distribution of a target normal class or an anomaly class. Conventional generative adversaria…

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