Wei Tsang Ooi

9 papers · 2023–2026 · 5 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (21) 👥 Mega-Team · Squad

Venues

CVPR (4) ICML (2) AAAI (1) ICCV (1) NeurIPS (1)

Top co-authors

Lingdong Kong (7) Lai Xing Ng (7) Dongyue Lu (5) Benoit R. Cottereau (4) Youquan Liu (4) Ao Liang (3) Linfeng Li (2) Yannis Montreuil (2) Axel Carlier (2) Yu Yang (2)

Research topics

Computer Vision (7) Machine Learning (6) Analysis (5) Artificial Intelligence (4) Core AI (4) Application Areas (3) Domain-Specific (3) Generation (2) Learning Types · Machine Learning (2) Optimization & Theory (2) Deep Learning (1) Core Methods (1) Learning Types · Deep Learning (1)

Keywords

autonomous driving (4) domain adaptation (3) event camera (2) bayes consistent (2) transfer learning (1) trajectory forecasting (1) benchmark evaluation (1) knowledge distillation (1) adversarial robustness (1) multimodal learning (1) 3d object detection (1) depth estimation (1) surrogate losses (1) corruption robustness (1) surrogate loss (1) video generation (1) multi-task learning (1) diffusion model (1) vision-language model (1) contrastive learning (1)

Papers

EventDrive: Event Cameras for Vision-Language Driving Intelligence CVPR 2026 LiDARCrafter: Dynamic 4D World Modeling from LiDAR Sequences AAAI 2026 WorldLens: Full-Spectrum Evaluations of Driving World Models in Real World CVPR 2026 Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees ICML 2025 A Two-Stage Learning-to-Defer Approach for Multi-Task Learning ICML 2025 EventFly: Event Camera Perception from Ground to the Sky CVPR 2025 Perspective-Invariant 3D Object Detection ICCV 2025 OpenESS: Event-based Semantic Scene Understanding with Open Vocabularies CVPR 2024 RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions NeurIPS 2023