Shiyi Lan
@voidrank
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Research Scientist @ NVIDIA Research.
Sunnyvale, CA
Joined February 2015
đźš— NVIDIA Research named Autonomous Grand Challenge winner for End-to-End Autonomous Driving at #CVPR2025 in Nashville. Theme of challenge: Towards Generalizable Embodied Systems. Learn more about NVIDIA Research at CVPR: https://t.co/9I9v5zUd1L
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💡 New work: You might not need math data to teach models math reasoning. Recent 🔥 RLVR works challenge the need of *labels* of math questions. We find just playing video games, eg. Snake, can boost multimodal reasoning. No math *questions* needed. https://t.co/iAq0MuOgVE🧵👇
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Nvidia just released Cosmos-Transfer1 on Hugging Face Conditional World Generation with Adaptive Multimodal Control
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Very honored to be part of this effort with Zhiqi Li, David Austin, Mingsheng Fang, @voidrank @jankautz @ALVAREZ_JOSEM More details👇 https://t.co/P7LaUa2FtN
blogs.nvidia.com
New work introduces state-of-the-art 3D occupancy prediction for safe self-driving systems.
🎉 Congrats to our #NVIDIAResearch team for winning 🏆 1st Place and the 🏆 Innovation Award for the #CVPR2023 #3D Occupancy Challenge. Their 3D object detection method substantially improved performance in comparison to prior approaches. Read the paper: https://t.co/1EMOYEfKw1
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BloombergGPT: A Large Language Model for Finance a 50 billion parameter language model that is trained on a wide range of financial data. Construct a 363 billion token dataset based on Bloomberg’s extensive data sources, perhaps the largest https://t.co/fXXwPqbEEu
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Come intern with us at @nvidia We collaborate with @ALVAREZ_JOSEM team to build full-stack computer vision and AI models with applications in autonomous driving,e.g https://t.co/0I06HTx4Pi
@ZhidingYu @voidrank
Our Autonomous Vehicle Perception Research team at #nvidia has several year-round openings for strong research #intern (PhD and MS, preferably). Ideally, a candidate with proven track record: research publications in top-tier venues such as #neurips , #i… https://t.co/6xVJUpZlb5
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Join our AI algorithms team at @nvidia as an intern working on a broad range of topics from generative models, reinforcement learning, neural operators, 3D vision, AI for science, and quantum algorithms.
nvidia.com
Learn about our culture and much more. #NVIDIA Careers.
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Our team won first place in Robust Vision Challenge #ECCV for semantic segmentation. We use FAN -fully attentional networks + Segformer Head. FAN uses channel-wise attention and has zero-shot robustness. @ZhidingYu @voidrank @YuilleAlan @never1andd @nvidia
1st Place Solution of The Robust Vision Challenge (RVC) 2022 Semantic Segmentation Track https://t.co/XFUyKAKeen by Junfei Xiao et al. including @AnimaAnandkumar
#Hyperparameter #ComputerVision
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We trained a transformer called VIMA that ingests *multimodal* prompt and outputs controls for a robot arm. A single agent is able to solve visual goal, one-shot imitation from video, novel concept grounding, visual constraint, etc. Strong scaling with model capacity and data!🧵
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Still using costly mask labels to train your models? Check our #ICCV paper DiscoBox! For the first time, box-supervised method is outperforming Mask R-CNN on COCO in both performance and speed. Paper: https://t.co/hOYEN8vveS Code: https://t.co/hZ22id1OnK
https://t.co/fd12x42fMN
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DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision abs: https://t.co/88TLLxEx02 github: https://t.co/kpTG81js4y
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