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Haokun Lin

7 papers hereh-index 438 citations8 works total

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

author position
  • middle author6

Across the 6 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.CL1
  • cs.IR1
  • cs.LG1
same name
  • Haokun Lin — 5 papers, h 4
  • Haokun Lin — 4 papers
  • Haokun Lin — 4 papers, h 5
  • Haokun Lin — 3 papers, h 2
  • Haokun Lin — 1 paper, 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
20242026
collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

IV-CoT: Implicit Visual Chain-of-Thought for Structure-Aware Text-to-Image Generation

Zixuan Li, Haokun Lin, Yicheng Xiao +10

Unified multi-modal large language models (MLLMs) have achieved strong text-to-image generation quality, but still struggle with structure-aware prompt following, where object coun…

cs.CV2026

SpatialEdit: Benchmarking Fine-Grained Image Spatial Editing

Yicheng Xiao, Wenhu Zhang, Lin Song +10

Image spatial editing performs geometry-driven transformations, allowing precise control over object layout and camera viewpoints. Current models are insufficient for fine-grained…

cs.CV2026

Not Just What's There: Enabling CLIP to Comprehend Negated Visual Descriptions Without Fine-tuning

Junhao Xiao, Zhiyu Wu, Hao Lin +5

Vision-Language Models (VLMs) like CLIP struggle to understand negation, often embedding affirmatives and negatives similarly (e.g., matching "no dog" with dog images). Existing me…

cs.CV2024

DOGR: Towards Versatile Visual Document Grounding and Referring

Yinan Zhou, Yuxin Chen, Haokun Lin +6

With recent advances in Multimodal Large Language Models (MLLMs), grounding and referring capabilities have gained increasing attention for achieving detailed understanding and fle…

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