Jinwoo Kim
21 papers · 2018–2025 · 7 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (7) 🌍 Conference Polyglot (7) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (8)
🐝
Cross-Pollinator
(8)
🌍
Conference Polyglot
(7)
🤝
Dynamic Duo
(10)
🔥
Unstoppable
(5)
💎
Century Club
(21)
🚀
Conference Pioneer
📈
Trend Setter
⚡
Prolific Year
(5)
🗃️
Keyword Collector
(89)
Conferences
CVPR (7)
NIPS (5)
ECCV (3)
ICCV (2)
ICLR (2)
AAAI (1)
UAI (1)
Top co-authors
Research topics
Keywords
graph neural network
(3)
permutation invariance
(2)
slot attention
(2)
unsupervised learning
(2)
transformer architecture
(2)
computer vision
(1)
attention mechanism
(1)
image generation
(1)
point cloud generation
(1)
video generation
(1)
vision transformer
(1)
graph representation learning
(1)
knowledge distillation
(1)
cross-modal learning
(1)
flow matching
(1)
scene understanding
(1)
video understanding
(1)
efficient computing
(1)
message passing
(1)
multi-modal learning
(1)
Papers
3D Denoisers Are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation
AAAI 2025
ORIDa: Object-centric Real-world Image Composition Dataset
CVPR 2025
Revisiting Random Walks for Learning on Graphs
ICLR 2025
Latent Space Super-Resolution for Higher-Resolution Image Generation with Diffusion Models
CVPR 2025
Sparse Structure Exploration and Re-optimization for Vision Transformer
UAI 2025
Attentive Illumination Decomposition Model for Multi-Illuminant White Balancing
CVPR 2024
Simulation-Free Training of Neural ODEs on Paired Data
NIPS 2024
Accelerating Image Super-Resolution Networks with Pixel-Level Classification
ECCV 2024
Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance
NIPS 2023
Shepherding Slots to Objects: Towards Stable and Robust Object-Centric Learning
CVPR 2023
Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching
ICLR 2023
UBoCo: Unsupervised Boundary Contrastive Learning for Generic Event Boundary Detection
CVPR 2022
Equivariant Hypergraph Neural Networks
ECCV 2022
Pure Transformers are Powerful Graph Learners
NIPS 2022
Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost
NIPS 2022
A Brand New Dance Partner: Music-Conditioned Pluralistic Dancing Controlled by Multiple Dance Genres
CVPR 2022
SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data
CVPR 2021
Large Scale Multi-Illuminant (LSMI) Dataset for Developing White Balance Algorithm Under Mixed Illumination
ICCV 2021
Transformers Generalize DeepSets and Can be Extended to Graphs & Hypergraphs
NIPS 2021
A Deep Cybersickness Predictor Based on Brain Signal Analysis for Virtual Reality Contents
ICCV 2019
Deep Video Quality Assessor: From Spatio-temporal Visual Sensitivity to A Convolutional Neural Aggregation Network
ECCV 2018