Chaowei Xiao | NVIDIA ASPIRE Group https://research.nvidia.com/labs/aspire/author/chaowei-xiao/ Chaowei Xiao Wowchemy (https://wowchemy.com)en-usWed, 31 Dec 2025 00:00:00 -0400 https://research.nvidia.com/labs/aspire/images/logo_hu2fe6632db44d28c9b9d53edd3914c1d6_112452_300x300_fit_lanczos_3.png Chaowei Xiao https://research.nvidia.com/labs/aspire/author/chaowei-xiao/ SafeVL: Driving Safety Evaluation via Meticulous Reasoning in Vision Language Models https://research.nvidia.com/labs/aspire/publication/ma.cao.etal.arxiv2025/ Wed, 31 Dec 2025 00:00:00 -0400 https://research.nvidia.com/labs/aspire/publication/ma.cao.etal.arxiv2025/ DreamDrive: Generative 4D Scene Modeling from Street View Images https://research.nvidia.com/labs/aspire/publication/mao.li.etal.icra2025/ Fri, 03 Jan 2025 00:00:00 -0500 https://research.nvidia.com/labs/aspire/publication/mao.li.etal.icra2025/ RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios https://research.nvidia.com/labs/aspire/publication/ding.cao.etal.arxiv23/ Tue, 16 Jan 2024 00:21:59 -0400 https://research.nvidia.com/labs/aspire/publication/ding.cao.etal.arxiv23/ Dolphins: Multimodal Language Model for Driving https://research.nvidia.com/labs/aspire/publication/ma.cao.etal.arxiv2023/ Fri, 01 Dec 2023 01:21:59 -0400 https://research.nvidia.com/labs/aspire/publication/ma.cao.etal.arxiv2023/ Reinforcement Learning with Human Feedback for Realistic Traffic Simulation https://research.nvidia.com/labs/aspire/publication/cao.ivanovic.etal.arxiv23/ Mon, 30 Oct 2023 00:21:59 -0400 https://research.nvidia.com/labs/aspire/publication/cao.ivanovic.etal.arxiv23/ Robust Trajectory Prediction against Adversarial Attacks https://research.nvidia.com/labs/aspire/publication/cao.xu.etal.corl2022/ Fri, 23 Sep 2022 10:21:59 -0400 https://research.nvidia.com/labs/aspire/publication/cao.xu.etal.corl2022/ AdvDO: Realistic Adversarial Attacks for Trajectory Prediction https://research.nvidia.com/labs/aspire/publication/cao.xiao.etal.eccv2022/ Thu, 22 Sep 2022 10:21:59 -0400 https://research.nvidia.com/labs/aspire/publication/cao.xiao.etal.eccv2022/