Sungroh Yoon
90 papers · 2015–2026 · 16 conferences · across top CS/AI conferences
Achievements
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Keyword Pioneer
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Dynamic Duo
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Triple Crown
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Grand Slam
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Deep Specialist
(12)
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Topic Evolution
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Keyword Collector
(355)
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Trend Setter
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Century Club
(87)
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Prolific Year
(16)
Conferences
CVPR (14)
NIPS (14)
ICML (13)
ACL (10)
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
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)
dialogue system
(3)
vision-language model
(3)
speech synthesis
(3)
retrieval-augmented generation
(3)
weakly supervised semantic segmentation
(3)
attention mechanism
(3)
convolutional neural network
(3)
adversarial training
(3)
distribution shift
(3)
out-of-distribution detection
(3)
Papers
GDoFS: Gaussian DoF Separation for Plausible 3D Geometry in Sparse-View 3DGS
WACV 2026
Guiding What Not to Generate: Automated Negative Prompting for Text-Image Alignment
WACV 2026
Still Between Us? Evaluating and Improving Voice Assistant Robustness to Third-Party Interruptions
ACL 2026
Verbal-R3: Verbal Reranker as the Missing Bridge between Retrieval and Reasoning
ACL 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
DCText: Scheduled Attention Masking for Visual Text Generation via Divide-and-Conquer Strategy
WACV 2026
Regularizing Hard Examples Improves Adversarial Robustness
JMLR 2025
Disentangled Motion Modeling for Video Frame Interpolation
AAAI 2025
Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation
AAAI 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
Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models
ICML 2025
Exploring the Potential of LLMs as Personalized Assistants: Dataset, Evaluation, and Analysis
ACL 2025
Know "No" Better: A Data-Driven Approach for Enhancing Negation Awareness in CLIP
ICCV 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
Large-Scale Text-to-Image Model with Inpainting is a Zero-Shot Subject-Driven Image Generator
CVPR 2025
Rethinking Training for De-biasing Text-to-Image Generation: Unlocking the Potential of Stable Diffusion
CVPR 2025
DefectFill: Realistic Defect Generation with Inpainting Diffusion Model for Visual Inspection
CVPR 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
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
Edit-A-Video: Single Video Editing with Object-Aware Consistency
ACML 2023
P-Flow: A Fast and Data-Efficient Zero-Shot TTS through Speech Prompting
NIPS 2023
CLeAR: Continual Learning on Algorithmic Reasoning for Human-like Intelligence
NIPS 2023
BigVGAN: A Universal Neural Vocoder with Large-Scale Training
ICLR 2023
New Insights for the Stability-Plasticity Dilemma in Online Continual Learning
ICLR 2023
ProPILE: Probing Privacy Leakage in Large Language Models
NIPS 2023
PUCA: Patch-Unshuffle and Channel Attention for Enhanced Self-Supervised Image Denoising
NIPS 2023
On the Impact of Knowledge Distillation for Model Interpretability
ICML 2023
Probabilistic Concept Bottleneck Models
ICML 2023
Improving Visual Prompt Tuning for Self-supervised Vision Transformers
ICML 2023
Model Intrinsic Features of Fine-tuning based Text Summarization Models for Factual Consistency
ACL 2023
Large-scale Lifelong Learning of In-context Instructions and How to Tackle It
ACL 2023
UnitSpeech: Speaker-adaptive Speech Synthesis with Untranscribed Data
INTERSPEECH 2023
On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection
NIPS 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
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
Perception Prioritized Training of Diffusion Models
CVPR 2022
BNUDC: A Two-Branched Deep Neural Network for Restoring Images From Under-Display Cameras
CVPR 2022
E2V-SDE: From Asynchronous Events to Fast and Continuous Video Reconstruction via Neural Stochastic Differential Equations
CVPR 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
Guided-TTS: A Diffusion Model for Text-to-Speech via Classifier Guidance
ICML 2022
Dataset Condensation with Contrastive Signals
ICML 2022
Demystifying the Neural Tangent Kernel From a Practical Perspective: Can It Be Trusted for Neural Architecture Search Without Training?
CVPR 2022
XProtoNet: Diagnosis in Chest Radiography With Global and Local Explanations
CVPR 2021
Accelerating Neural Architecture Search via Proxy Data
IJCAI 2021
Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation
CVPR 2021
Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation
NIPS 2021
Toward Spatially Unbiased Generative Models
ICCV 2021
AligNART: Non-autoregressive Neural Machine Translation by Jointly Learning to Estimate Alignment and Translate
EMNLP 2021
AdvRush: Searching for Adversarially Robust Neural Architectures
ICCV 2021
Removing Undesirable Feature Contributions Using Out-of-Distribution Data
ICLR 2021
ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models
ICCV 2021
BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation
CVPR 2021
Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization
CVPR 2020
Spiking-YOLO: Spiking Neural Network for Energy-Efficient Object Detection
AAAI 2020
iCaps: An Interpretable Classifier via Disentangled Capsule Networks
ECCV 2020
Interpretation of NLP models through input marginalization
EMNLP 2020
NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity
NIPS 2020
Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search
NIPS 2020
FickleNet: Weakly and Semi-Supervised Semantic Image Segmentation Using Stochastic Inference
CVPR 2019
FloWaveNet : A Generative Flow for Raw Audio
ICML 2019
HexaGAN: Generative Adversarial Nets for Real World Classification
ICML 2019
Frame-to-Frame Aggregation of Active Regions in Web Videos for Weakly Supervised Semantic Segmentation
ICCV 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