← Authors

Sungroh Yoon

88 papers · 2015–2026 · 16 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (11) 🐝 Cross-Pollinator (12) 🌍 Conference Polyglot (16) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (13) 🧭 Keyword Pioneer 🀝 Dynamic Duo (16) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ”¬ Deep Specialist (12) 🧬 Topic Evolution πŸ† Keyword Champion ❓ The Questioner (2) πŸ—ƒοΈ Keyword Collector (355) πŸ“ˆ Trend Setter πŸ’Ž Century Club (87) πŸ”₯ Unstoppable (8) ⚑ Prolific Year (16)

Conferences

CVPR (14) NIPS (14) ICML (13) ACL (8) ICLR (8) AAAI (5) ICCV (5) WACV (5) EMNLP (3) NAACL (3) EACL (2) ECCV (2) INTERSPEECH (2) JMLR (2) ACML (1) IJCAI (1)

Top co-authors

Dahuin Jung (16) Eunji Kim (14) Jisoo Mok (14) Saehyung Lee (12) Heeseung Kim (12) Jooyoung Choi (12) Jungbeom Lee (12) Sungwon Kim (10) Siwon Kim (10) Jongyoon Song (8)

Keywords

diffusion model (11) large language model (7) image generation (6) weakly supervised learning (6) semantic segmentation (6) text-to-image generation (5) self-supervised learning (5) multimodal learning (4) contrastive learning (4) neural architecture search (4) weakly supervised semantic segmentation (3) vision-language model (3) speech synthesis (3) dialogue system (3) speaker adaptation (3) attention mechanism (3) convolutional neural network (3) adversarial training (3) distribution shift (3) out-of-distribution detection (3)

Papers

DCText: Scheduled Attention Masking for Visual Text Generation via Divide-and-Conquer Strategy WACV 2026
GDoFS: Gaussian DoF Separation for Plausible 3D Geometry in Sparse-View 3DGS WACV 2026
CANDI: Curated Test-Time Adaptation for Multivariate Time-Series Anomaly Detection Under Distribution Shift AAAI 2026
Style-Friendly SNR Sampler for Style-Driven Generation WACV 2026
SAVE: Sparse Autoencoder-Driven Visual Information Enhancement for Mitigating Object Hallucination WACV 2026
Guiding What Not to Generate: Automated Negative Prompting for Text-Image Alignment WACV 2026
Disentangled Motion Modeling for Video Frame Interpolation AAAI 2025
Unleashing Multi-Hop Reasoning Potential in Large Language Models through Repetition of Misordered Context NAACL 2025
Correcting Negative Bias in Large Language Models through Negative Attention Score Alignment NAACL 2025
Regularizing Hard Examples Improves Adversarial Robustness JMLR 2025
Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation AAAI 2025
Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models ICML 2025
Know "No" Better: A Data-Driven Approach for Enhancing Negation Awareness in CLIP ICCV 2025
Large-Scale Text-to-Image Model with Inpainting is a Zero-Shot Subject-Driven Image Generator CVPR 2025
Toward Robust Hyper-Detailed Image Captioning: A Multiagent Approach and Dual Evaluation Metrics for Factuality and Coverage ICML 2025
Causality-Aware Contrastive Learning for Robust Multivariate Time-Series Anomaly Detection ICML 2025
Rethinking Training for De-biasing Text-to-Image Generation: Unlocking the Potential of Stable Diffusion CVPR 2025
Exploring the Potential of LLMs as Personalized Assistants: Dataset, Evaluation, and Analysis ACL 2025
EdiText: Controllable Coarse-to-Fine Text Editing with Diffusion Language Models ACL 2025
Does Your Voice Assistant Remember? Analyzing Conversational Context Recall and Utilization in Voice Interaction Models ACL 2025
DefectFill: Realistic Defect Generation with Inpainting Diffusion Model for Visual Inspection CVPR 2025
Controlled Text Generation for Black-box Language Models via Score-based Progressive Editor ACL 2024
Unsupervised Homography Estimation on Multimodal Image Pair via Alternating Optimization NIPS 2024
Textual Training for the Hassle-Free Removal of Unwanted Visual Data: Case Studies on OOD and Hateful Image Detection NIPS 2024
Paralinguistics-Aware Speech-Empowered Large Language Models for Natural Conversation NIPS 2024
Introducing Spectral Attention for Long-Range Dependency in Time Series Forecasting NIPS 2024
Interactive Text-to-Image Retrieval with Large Language Models: A Plug-and-Play Approach ACL 2024
Entity-level Factual Adaptiveness of Fine-tuning based Abstractive Summarization Models EACL 2024
GrounDial: Human-norm Grounded Safe Dialog Response Generation EACL 2024
Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation ECCV 2024
Semantic Token Reweighting for Interpretable and Controllable Text Embeddings in CLIP EMNLP 2024
DAFA: Distance-Aware Fair Adversarial Training ICLR 2024
SF(DA)$^2$: Source-free Domain Adaptation Through the Lens of Data Augmentation ICLR 2024
Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors ICLR 2024
VoiceTailor: Lightweight Plug-In Adapter for Diffusion-Based Personalized Text-to-Speech INTERSPEECH 2024
Sample-efficient Adversarial Imitation Learning JMLR 2024
LLM-based Frameworks for API Argument Filling in Task-Oriented Conversational Systems NAACL 2024
Large-scale Lifelong Learning of In-context Instructions and How to Tackle It ACL 2023
Edit-A-Video: Single Video Editing with Object-Aware Consistency ACML 2023
UnitSpeech: Speaker-adaptive Speech Synthesis with Untranscribed Data INTERSPEECH 2023
Model Intrinsic Features of Fine-tuning based Text Summarization Models for Factual Consistency ACL 2023
P-Flow: A Fast and Data-Efficient Zero-Shot TTS through Speech Prompting NIPS 2023
Improving Visual Prompt Tuning for Self-supervised Vision Transformers ICML 2023
Probabilistic Concept Bottleneck Models ICML 2023
On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection NIPS 2023
On the Impact of Knowledge Distillation for Model Interpretability ICML 2023
PUCA: Patch-Unshuffle and Channel Attention for Enhanced Self-Supervised Image Denoising NIPS 2023
CLeAR: Continual Learning on Algorithmic Reasoning for Human-like Intelligence NIPS 2023
ProPILE: Probing Privacy Leakage in Large Language Models NIPS 2023
New Insights for the Stability-Plasticity Dilemma in Online Continual Learning ICLR 2023
BigVGAN: A Universal Neural Vocoder with Large-Scale Training ICLR 2023
Weakly Supervised Semantic Segmentation Using Out-of-Distribution Data CVPR 2022
PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior ICLR 2022
Stein Latent Optimization for Generative Adversarial Networks ICLR 2022
Guided-TTS: A Diffusion Model for Text-to-Speech via Classifier Guidance ICML 2022
Dataset Condensation with Contrastive Signals ICML 2022
Confidence Score for Source-Free Unsupervised Domain Adaptation ICML 2022
AutoSNN: Towards Energy-Efficient Spiking Neural Networks ICML 2022
Rare Tokens Degenerate All Tokens: Improving Neural Text Generation via Adaptive Gradient Gating for Rare Token Embeddings ACL 2022
Towards a Rigorous Evaluation of Time-Series Anomaly Detection AAAI 2022
Bridging the Gap Between Classification and Localization for Weakly Supervised Object Localization CVPR 2022
E2V-SDE: From Asynchronous Events to Fast and Continuous Video Reconstruction via Neural Stochastic Differential Equations CVPR 2022
BNUDC: A Two-Branched Deep Neural Network for Restoring Images From Under-Display Cameras CVPR 2022
Perception Prioritized Training of Diffusion Models CVPR 2022
Demystifying the Neural Tangent Kernel From a Practical Perspective: Can It Be Trusted for Neural Architecture Search Without Training? CVPR 2022
AdvRush: Searching for Adversarially Robust Neural Architectures ICCV 2021
Removing Undesirable Feature Contributions Using Out-of-Distribution Data ICLR 2021
AligNART: Non-autoregressive Neural Machine Translation by Jointly Learning to Estimate Alignment and Translate EMNLP 2021
Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation NIPS 2021
Toward Spatially Unbiased Generative Models ICCV 2021
ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models ICCV 2021
XProtoNet: Diagnosis in Chest Radiography With Global and Local Explanations CVPR 2021
Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation CVPR 2021
BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation CVPR 2021
Accelerating Neural Architecture Search via Proxy Data IJCAI 2021
Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search NIPS 2020
Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization CVPR 2020
Interpretation of NLP models through input marginalization EMNLP 2020
iCaps: An Interpretable Classifier via Disentangled Capsule Networks ECCV 2020
Spiking-YOLO: Spiking Neural Network for Energy-Efficient Object Detection AAAI 2020
NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity NIPS 2020
FickleNet: Weakly and Semi-Supervised Semantic Image Segmentation Using Stochastic Inference CVPR 2019
Frame-to-Frame Aggregation of Active Regions in Web Videos for Weakly Supervised Semantic Segmentation ICCV 2019
HexaGAN: Generative Adversarial Nets for Real World Classification ICML 2019
FloWaveNet : A Generative Flow for Raw Audio ICML 2019
Deep Recurrent Neural Network-Based Identification of Precursor microRNAs NIPS 2017
Neural Universal Discrete Denoiser NIPS 2016
Boosted Categorical Restricted Boltzmann Machine for Computational Prediction of Splice Junctions ICML 2015