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Sunghwan Hong — most-cited papers & profile · Large Language Models
← authors
·
overview
Sunghwan Hong
15
papers ·
29
citations ·
0
h-index
Samsung (South Korea) · Samsung (United States)
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation
2022 · 10 citations
MOI-Mixer: Improving MLP-Mixer with Multi Order Interactions in Sequential Recommendation
2021 · 4 citations
Integrative Feature and Cost Aggregation with Transformers for Dense Correspondence
2022 · 4 citations
CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation
2023 · 4 citations
CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation
2023 · 4 citations
Towards Open-Vocabulary Semantic Segmentation Without Semantic Labels
2024 · 2 citations
LitePT: Lighter Yet Stronger Point Transformer
2025 · 1 citations
Geometric Action Model for Robot Policy Learning
2026
Geometric Action Model for Robot Policy Learning
2026
Entropy-Gradient Grounding: Training-Free Evidence Retrieval in Vision-Language Models
2026
Seg4diff: Unveiling Open-vocabulary Segmentation In Text-to-image Diffusion Transformers
2025
Visual Representation Alignment For Multimodal Large Language Models
2025
Deep Matching Prior: Test-Time Optimization for Dense Correspondence
2021
Unifying Correspondence, Pose and NeRF for Pose-Free Novel View Synthesis from Stereo Pairs
2023
Cross-View Completion Models are Zero-shot Correspondence Estimators
2024
Topics
3D Vision
Vision-Language Models
Segmentation
Benchmarks
Visual QA & Reasoning
Image-Text Retrieval
Image Generation
Visual Language
image
mechanism