Scholar
Sunghwan Hong
Google Scholar ID: lBXhOmoAAAAJ
Postdoc @ ETHZ
Computer Vision
3D Vision
SfM
SLAM
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Citations & Impact
All-time
Citations
790
H-index
11
i10-index
12
Publications
20
Co-authors
19
list available
Contact
GitHub
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Publications
12 items
Entropy-Gradient Grounding: Training-Free Evidence Retrieval in Vision-Language Models
2026
Cited
0
TORA: Topological Representation Alignment for 3D Shape Assembly
2026
Cited
0
TETO: Tracking Events with Teacher Observation for Motion Estimation and Frame Interpolation
2026
Cited
0
Moving Beyond Sparse Grounding with Complete Screen Parsing Supervision
2026
Cited
0
LitePT: Lighter Yet Stronger Point Transformer
2025
Cited
0
Emergent Outlier View Rejection in Visual Geometry Grounded Transformers
2025
Cited
0
C3G: Learning Compact 3D Representations with 2K Gaussians
2025
Cited
0
3D Scene Prompting for Scene-Consistent Camera-Controllable Video Generation
2025
Cited
0
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Resume (English only)
Academic Achievements
Contributed to several open-source projects such as Cost-Aggregation-transformers, Volumetric-Aggregation-Transformer, etc.
Research Experience
PostDoc @ ETHZ
Background
Research interests include computer vision and machine learning.
Co-authors
19 total
Seungryong Kim
Associate Professor, KAIST
Seokju Cho
KAIST
Heeseong Shin
KAIST
Jisu Nam
M.S./Ph.D. student at Korea Advanced Institute of Science and Technology (KAIST)
Jaewoo Jung
KAIST AI
Anurag Arnab
Google DeepMind
Paul Hongsuck Seo
Korea University
Stephen Lin
Microsoft Research Asia
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