Jiaojiao Fan

Jiaojiao Fan Research Jiaojiao fan i am a research scientist at nvidia deep imagination research in santa clara, california, where i work on world foundation models. currently, i am working on improving cosmos, nvidia's open sourced groundbreaking world foundation model for physical ai. Proceedings of the human factors and ergonomics society annual meeting 65 (1 ….

Jiaojiao Fan Research Scientist Linkedin Jiaojiao receives her phd in machine learning from the georgia institute of technology. her early research focused on scaling neural network based optimal transport and mcmc sampling, with recent work emphasizing controllable generation in generative image and video models. View jiaojiao fan’s profile on linkedin, a professional community of 1 billion members. Semantic scholar profile for jiaojiao fan, with 57 highly influential citations and 17 scientific research papers. The record owner may not have added information to their record or the visibility for items on their record may be set to trusted parties or only me. find out more about visibility settings in orcid. how many people are using orcid? the text of this website is published under a cc0 license.

Jiaojiao Liquipedia Crossfire Wiki Semantic scholar profile for jiaojiao fan, with 57 highly influential citations and 17 scientific research papers. The record owner may not have added information to their record or the visibility for items on their record may be set to trusted parties or only me. find out more about visibility settings in orcid. how many people are using orcid? the text of this website is published under a cc0 license. Neural monge map estimation and its applications jiaojiao fan, shu liu, shaojun ma, hao min zhou, yongxin chen published: 30 jul 2023, last modified: 17 sept 2024 accepted by tmlr. Generating synthetic datasets by interpolating along generalized geodesics jiaojiao fan georgia tech, atlanta, georgia , david alvarez melis microsoft research & harvard university, cambridge, massachusetts july 2023uai '23: proceedings of the thirty ninth conference on uncertainty in artificial intelligence view all publications. Affiliations: [school of aerospace engineering, georgia institute of technology, atlanta, ga, usa]. Haotian xue, yunhao ge, yu zeng, zhaoshuo li, ming yu liu, yongxin chen, jiaojiao fan: point it out: benchmarking embodied reasoning for vision language models in multi stage visual grounding.