conftrace_

Yunhui Guo

28 papers · 2015–2026 · 10 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+11 more ↓ 🏃 Academic Marathon (10) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (10) 🐝 Cross-Pollinator (9)
🏃 Academic Marathon (10) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (9) 🧬 Topic Evolution 🔥 Unstoppable (5) 🚀 Conference Pioneer 💎 Century Club (27) Prolific Year (10) The Questioner 📈 Trend Setter 🗃️ Keyword Collector (127)

Conferences

CVPR (7) AAAI (6) IJCAI (3) NIPS (3) ECCV (2) ICCV (2) WACV (2) MICCAI (1) RSS (1) UAI (1)

Papers

Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? AAAI 2026 H2ST: Hierarchical Two-Sample Tests for Continual Out-of-Distribution Detection CVPR 2025 PALM: Pushing Adaptive Learning Rate Mechanisms for Continual Test-Time Adaptation AAAI 2025 BATCLIP: Bimodal Online Test-Time Adaptation for CLIP ICCV 2025 Evolve: Enhancing Unsupervised Continual Learning With Multiple Experts WACV 2024 Unsupervised Feature Learning with Emergent Data-Driven Prototypicality CVPR 2024 Segment Every Out-of-Distribution Object CVPR 2024 Inconsistency-Based Data-Centric Active Open-Set Annotation AAAI 2024 Continual Learning in an Open and Dynamic World AAAI 2024 "Not Just Change the Labels, Learn the Features: Watermarking Deep Neural Networks with Multi-View Data" ECCV 2024 STONE: A Submodular Optimization Framework for Active 3D Object Detection NIPS 2024 SkinCON: Towards consensus for the uncertainty of skin cancer sub-typing through distribution regularized adaptive predictive sets (DRAPS) MICCAI 2024 VEATIC: Video-Based Emotion and Affect Tracking in Context Dataset WACV 2024 Continual Audio-Visual Sound Separation NIPS 2024 Self-Supervised Unseen Object Instance Segmentation via Long-Term Robot Interaction RSS 2023 AUC Maximization in Imbalanced Lifelong Learning UAI 2023 Audio-Visual Class-Incremental Learning ICCV 2023 Unsupervised Hierarchical Semantic Segmentation With Multiview Cosegmentation and Clustering Transformers CVPR 2022 Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers CVPR 2022 CO-SNE: Dimensionality Reduction and Visualization for Hyperbolic Data CVPR 2022 AdaFilter: Adaptive Filter Fine-Tuning for Deep Transfer Learning AAAI 2020 Improved Schemes for Episodic Memory-based Lifelong Learning NIPS 2020 A Broader Study of Cross-Domain Few-Shot Learning ECCV 2020 SpotTune: Transfer Learning Through Adaptive Fine-Tuning CVPR 2019 Depthwise Convolution Is All You Need for Learning Multiple Visual Domains AAAI 2019 Understanding Users' Budgets for Recommendation with Hierarchical Poisson Factorization IJCAI 2017 Constrained Preference Embedding for Item Recommendation IJCAI 2016 Recommendation Algorithms for Optimizing Hit Rate, User Satisfaction and Website Revenue IJCAI 2015