Los Angeles, California, United States
Personal homepage: https://ningyu1991.github.io/ I am the lead research scientist at Netflix, leading efforts in video GenAI foundation, application, editing, 4D, final-pixel, agentic modeling full-stack R&D towards filmmaking businesses. I hold a joint Ph.D. from the University of Maryland and Max Planck Institute for Informatics where I was supervised by Larry Davis and Mario Fritz. I previously worked with Netflix Eyeline, Salesforce, NVIDIA, and Adobe. My selected works include Vista4D, MAViS, VChain, Virtually Being, DEGS, FlashDepth, Go-with-the-Flow, UniControl, X-InstructBLIP, ULIP-2, LayoutDETR, GlueGen, HIVE, Contrast and Attention GANs, Scalable GAN Fingerprints, Artificial GAN Fingerprints, GAN Fingerprints, Inclusive GAN, and Texture Mixer. My research was featured in media press such as Salesforce Newsletter, AlmostHuman, AIera, JiangMen, QbitAI, innovations report, and FoodPlus. I am constantly dedicated to academic services, such as serving as (Lead) Area Chair for CVPR, ICCV, ECCV, NeurIPS, ICLR, AAAI, AISTATS, WACV, and BMVC. I am a recipient of Twitch (Amazon) Research Fellowship, Microsoft Young Fellowship, Qualcomm Innovation Fellowship Finalist x2, and SPIE Best Student Paper Finalist.
Leading efforts for video GenAI foundation, application, world, agentic, final-pixel modeling full-stack R&D towards filmmaking businesses
Leading efforts in visual and multimodal generative AI https://www.eyelinestudios.com/en
Multimodal learning and agent modeling
Generative AI for designs, marketing, and commerce
Advisor: Mario Fritz Project: Towards Extracting, Analyzing, and Utilizing GANs Fingerprints
Advisor: Larry Davis Project: Towards Extracting, Analyzing, and Utilizing GANs Fingerprints
Mentors: Guilin Liu, Aysegul Dundar, Andrew Tao, and Bryan Catanzaro Project: Pushing the Limit of Generative Adversarial Networks