conftrace_

Sungroh Yoon

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

Achievements

Jump to papers ↓
+15 more ↓ πŸ—ΊοΈ Taxonomy Completionist (13) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (5) 🌍 Conference Polyglot (16)
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 (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)

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