Se Young Chun
32 papers · 2018–2025 · 9 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (7) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (9) 🐝 Cross-Pollinator (8)
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Hot Topic Early Bird
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Conference Polyglot
(9)
🏃
Academic Marathon
(7)
🏆
Keyword Champion
(2)
🏆
Grand Slam
🧬
Topic Evolution
🔥
Unstoppable
(8)
💎
Century Club
(32)
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Prolific Year
(10)
🗃️
Keyword Collector
(116)
Conferences
ICCV (9)
CVPR (7)
ECCV (6)
NIPS (3)
AAAI (2)
ICLR (2)
ICML (1)
MICCAI (1)
WACV (1)
Top co-authors
Keywords
diffusion model
(6)
inverse problem
(4)
image denoising
(4)
image restoration
(4)
text-to-image diffusion
(3)
stein unbiased risk estimator
(3)
continual learning
(3)
image generation
(3)
image editing
(2)
deep image prior
(2)
3d generative model
(2)
domain adaptation
(2)
stein's unbiased risk estimator
(2)
unsupervised learning
(2)
generative model
(2)
deep neural network
(2)
normalizing flow
(2)
weakly supervised learning
(1)
video generation
(1)
adversarial learning
(1)
Papers
PersonaCraft: Personalized and Controllable Full-Body Multi-Human Scene Generation Using Occlusion-Aware 3D-Conditioned Diffusion
ICCV 2025
MOST: MR reconstruction Optimization for multiple downStream Tasks via continual learning
MICCAI 2025
Skrr: Skip and Re-use Text Encoder Layers for Memory Efficient Text-to-Image Generation
ICML 2025
Concept Pinpoint Eraser for Text-to-image Diffusion Models via Residual Attention Gate
ICLR 2025
Localized Concept Erasure for Text-to-Image Diffusion Models Using Training-Free Gated Low-Rank Adaptation
CVPR 2025
Efficient Personalization of Quantized Diffusion Model without Backpropagation
CVPR 2025
Class Distribution-induced Attention Map for Open-vocabulary Semantic Segmentations
ICLR 2025
Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis
ICCV 2025
Robust 3D-Masked Part-level Editing in 3D Gaussian Splatting with Regularized Score Distillation Sampling
ICCV 2025
GeoMan: Temporally Consistent Human Geometry Estimation using Image-to-Video Diffusion
ICCV 2025
On Exact Inversion of DPM-Solvers
CVPR 2024
UL-VIO: Ultra-lightweight Visual-Inertial Odometry with Noise Robust Test-time Adaptation
ECCV 2024
INTRA: Interaction Relationship-aware Weakly Supervised Affordance Grounding
ECCV 2024
Contribution-based Low-Rank Adaptation with Pre-training Model for Real Image Restoration
ECCV 2024
BeyondScene: Higher-Resolution Human-Centric Scene Generation With Pretrained Diffusion
ECCV 2024
Gradient-free Decoder Inversion in Latent Diffusion Models
NIPS 2024
Doubly Perturbed Task Free Continual Learning
AAAI 2024
Adaptive Selection of Sampling-Reconstruction in Fourier Compressed Sensing
ECCV 2024
Efficient Unified Demosaicing for Bayer and Non-Bayer Patterned Image Sensors
ICCV 2023
PODIA-3D: Domain Adaptation of 3D Generative Model Across Large Domain Gap Using Pose-Preserved Text-to-Image Diffusion
ICCV 2023
Neural Diffeomorphic Non-uniform B-spline Flows
AAAI 2023
DATID-3D: Diversity-Preserved Domain Adaptation Using Text-to-Image Diffusion for 3D Generative Model
CVPR 2023
Online Continual Learning on Hierarchical Label Expansion
ICCV 2023
On the Robustness of Normalizing Flows for Inverse Problems in Imaging
ICCV 2023
All-in-One Image Restoration for Unknown Degradations Using Adaptive Discriminative Filters for Specific Degradations
CVPR 2023
Image Restoration by Deep Projected GSURE
WACV 2022
Rethinking Deep Image Prior for Denoising
ICCV 2021
Task-Aware Variational Adversarial Active Learning
CVPR 2021
Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Training
ECCV 2020
Training Deep Learning Based Image Denoisers From Undersampled Measurements Without Ground Truth and Without Image Prior
CVPR 2019
Extending Stein's unbiased risk estimator to train deep denoisers with correlated pairs of noisy images
NIPS 2019
Training deep learning based denoisers without ground truth data
NIPS 2018