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researcher

J. Lee

4 papers hereh-index 16 citations9 works total

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

author position
  • sole author2
  • first author1
  • middle author1

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

fields
  • cs.CV3
  • cs.MM1
same name
  • J. Lee — 409 papers
  • J. Lee — 203 papers
  • J. Lee — 179 papers, h 72
  • J. Lee — 74 papers, h 0
  • J. Lee — 70 papers, h 57
  • J. Lee — 63 papers, h 22

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
20232026
most citedSnakeVoxFormer: Transformer-based Single Image\\Voxel Reconstruction with Run Length Encoding

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2026

Accuracy Without Grounding: Diagnosing Visual Dependency Dissociation in Video LLM Benchmarks

Jae Joong Lee

Benchmark accuracy in video large language models (LLMs) is often treated as evidence of visual understanding. We audit this assumption across twenty models spanning 2-78B paramete…

cs.CV2025

Language-Guided Invariance Probing of Vision-Language Models

Jae Joong Lee

Recent vision-language models (VLMs) such as CLIP, OpenCLIP, EVA02-CLIP and SigLIP achieve strong zero-shot performance, but it is unclear how reliably they respond to controlled l…

cs.MM2024

Pegasus-v1 Technical Report

Raehyuk Jung, Hyojun Go, Jaehyuk Yi +41

This technical report introduces Pegasus-1, a multimodal language model specialized in video content understanding and interaction through natural language. Pegasus-1 is designed t…

cs.CV2023★ 1 cited

SnakeVoxFormer: Transformer-based Single Image\\Voxel Reconstruction with Run Length Encoding

Jae Joong Lee, Bedrich Benes

Deep learning-based 3D object reconstruction has achieved unprecedented results. Among those, the transformer deep neural model showed outstanding performance in many applications…

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