Sunghwan Hong
13 papers · 2021–2026 · 6 venues · across top CS/AI venues
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Research topics
Computer Vision
(10)
Deep Learning
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Analysis
(9)
Architectures
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Machine Learning
(5)
Core Methods
(3)
Techniques
(3)
Artificial Intelligence
(2)
Core AI Β· Computer Vision
(2)
Core AI Β· Artificial Intelligence
(2)
Learning Types Β· Machine Learning
(2)
Learning Types Β· Deep Learning
(2)
Models
(2)
Application Areas
(1)
Generation
(1)
Keywords
cost aggregation
(3)
semantic matching
(3)
visual correspondence
(3)
novel view synthesis
(3)
semantic segmentation
(2)
gaussian splatting
(2)
geometric matching
(2)
3d vision
(2)
vision-language model
(2)
attention mechanism
(1)
open-vocabulary recognition
(1)
scene understanding
(1)
dense correspondence
(1)
outlier rejection
(1)
self-attention mechanism
(1)
implicit representation
(1)
online clustering
(1)
open-vocabulary segmentation
(1)
implicit neural representation
(1)
correspondence matching
(1)
Papers
Emergent Outlier View Rejection in Visual Geometry Grounded Transformers
CVPR 2026
Learning Compact 3D Representations from Feed-Forward Novel View Synthesis
CVPR 2026
LitePT: Lighter Yet Stronger Point Transformer
CVPR 2026
Cross-View Completion Models are Zero-shot Correspondence Estimators
CVPR 2025
PF3plat: Pose-Free Feed-Forward 3D Gaussian Splatting for Novel View Synthesis
ICML 2025
CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation
CVPR 2024
Towards Open-Vocabulary Semantic Segmentation Without Semantic Labels
NeurIPS 2024
Unifying Correspondence Pose and NeRF for Generalized Pose-Free Novel View Synthesis
CVPR 2024
Unifying Feature and Cost Aggregation with Transformers for Semantic and Visual Correspondence
ICLR 2024
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation
ECCV 2022
Neural Matching Fields: Implicit Representation of Matching Fields for Visual Correspondence
NeurIPS 2022
CATs: Cost Aggregation Transformers for Visual Correspondence
NeurIPS 2021
Deep Matching Prior: Test-Time Optimization for Dense Correspondence
ICCV 2021