conftrace_

Yadan Luo

22 papers · 2020–2026 · 9 conferences · across top CS/AI conferences

Achievements

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+10 more ↓ 🌍 Conference Polyglot (9) πŸƒ Academic Marathon (6) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird
🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (57) 🀝 Dynamic Duo (17) πŸ† Grand Slam πŸ’Ž Century Club (22) πŸš€ Conference Pioneer ⚑ Prolific Year (5) ❓ The Questioner πŸ—ƒοΈ Keyword Collector (100)

Conferences

ICCV (6) ICLR (4) NIPS (3) WACV (3) IJCAI (2) AAAI (1) CVPR (1) ECCV (1) ICML (1)

Papers

SCORE: Soft Label Compression-Centric Dataset Condensation via Coding Rate Optimization WACV 2026 Is Less More? Exploring Token Condensation as Training-free Test-time Adaptation ICCV 2025 Don't Shake the Wheel: Momentum-Aware Planning in End-to-End Autonomous Driving CVPR 2025 MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection ICLR 2025 PolaFormer: Polarity-aware Linear Attention for Vision Transformers ICLR 2025 Find n' Propagate: Open-Vocabulary 3D Object Detection in Urban Environments ECCV 2024 DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection NIPS 2024 ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection ICLR 2024 Exploiting Descriptive Completeness Prior for Cross Modal Hashing with Incomplete Labels NIPS 2024 Color-Oriented Redundancy Reduction in Dataset Distillation NIPS 2024 Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling ICCV 2023 Exploring Active 3D Object Detection from a Generalization Perspective ICLR 2023 FFM: Injecting Out-of-Domain Knowledge via Factorized Frequency Modification WACV 2023 KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection ICCV 2023 How Far Pre-trained Models Are from Neural Collapse on the Target Dataset Informs their Transferability ICCV 2023 Discovering Collaborative Signals for Next POI Recommendation with Iterative Seq2Graph Augmentation IJCAI 2021 Semantics Disentangling for Generalized Zero-Shot Learning ICCV 2021 Learning To Diversify for Single Domain Generalization ICCV 2021 Learning from the Past: Continual Meta-Learning with Bayesian Graph Neural Networks AAAI 2020 CANZSL: Cycle-Consistent Adversarial Networks for Zero-Shot Learning from Natural Language WACV 2020 Progressive Graph Learning for Open-Set Domain Adaptation ICML 2020 Human Consensus-Oriented Image Captioning IJCAI 2020