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zhiding s homepage zhiding s homepage home resume personal more zhiding yu 禹之鼎 principal research scientist research lead learning perception research group nvidia research 2788 san tomas expressway santa clara ca 95051 email zhidingy at nvidia com github nbsp google scholar nbsp twitter nbsp linkedin about me i am a principal research scientist and research lead at the learning and perception research group nvidia research before joining nvidia in 2018 i obtained ph d in ece from carnegie mellon university in 2017 and m phil in ece from the hong kong university of science and technology in 2012 i graduated with a bachelor s degree from the union class of electrical engineering feng bingquan pilot class south china university of technology in 2008 i am interested in building general autonomy and intelligence across both virtual and physical domains my recent focus lies in vision transformers llms multimodal llms and vision language action vla models with applications spanning open world understanding reasoning av robot perception planning and agentic systems i have led or contributed to numerous flagship research efforts and products at nvidia including segformer most influential neurips paper demo voxformer fb bev fb occ cvpr23 3d occ pred challenge winner video hydra mdp cvpr24 e2e driving challenge winner video the eagle vlm project nemotron llama nemotron vl and gr00t n1 gr00t n1 5 nvidia s foundation models for humanoid robots i also participated in designing nvidia s next generation end to end autonomous driving system my works are characterized by state of the art performance scalable architectures and data centric strategies towards real world generalization please refer to google scholar for the list of my latest publications honors and awards winner cvpr24 challenge on end to end driving at scale 2nd place cvpr24 challenge on driving with language winner cvpr23 challenge on 3d occupancy prediction winner eccv22 robust vision challenge rvc on semantic segmentation winner cvpr18 autonomous driving challenge wad on domain adaptation 2nd place icmi15 emotiw challenge on static facial expression recognition best paper award bmvc 2020 best paper award wacv 2015 best student paper award iscslp 2014 work experience nvidia santa clara ca principal research scientist research lead i conduct research in multimodal learning and intelligent data strategies i lead the eagle vlm project which develops a family of frontier vision language models with public training data recipes and state of the art performance matching or outperforming existing top tier vlms our work has laid the core vlm foundation and data strategy behind several flagship nvidia products projects including llama nemotron vl nemo retriever multimodal embedding gr00t n1 and gr00t n1 5 2018 01 present mitsubishi electric research laboratories cambridge ma research intern computer vision group proposed a sota deep learning framework for semantic edge detection 2016 07 2016 10 microsoft research redmond wa research intern multimedia interaction and communication mic group worked on deep learning based facial expression recognition work integrated into the azure cognitive services media coverage 2015 06 2015 08 adobe research san jose ca research intern computer vision group worked on voice based photo editing 2013 06 2013 08 education background carnegie mellon university ph d in electrical and computer engineering 2012 2017 the hong kong university of science and technology m phil in electronic and computer engineering 2009 2012 south china university of technology b eng in information engineering talented student program 2005 2008 thank you for visiting this site home resume personal div style display none img src pixel quantserve com pixel p 0dylvhsggquwo gif labels l5 u59403035 u59403035s706500666742948869 border 0 height 1 width 1 alt quantcast div