- Publications: Published numerous papers in top conferences and journals such as SIGGRAPH Asia, NeurIPS, ICCV, CVPR, ECCV, TMLR, ICLR, AAAI, NAACL, EMNLP, ECAI, ICML, Trends in Food Science & Technology, Advanced Science, etc.
- Awards: CSAW Europe Best Paper Finalist, Twitch (Amazon) Research Fellowship, Microsoft Young Fellowship, Qualcomm Innovation Fellowship Finalist x2, SPIE Best Student Paper Finalist
- Patents: Not explicitly provided
- Projects: Involved in multiple research projects including MAViS, VChain, Virtually Being, DEGS, FlashDepth, Go-with-the-Flow, Lux Post Facto, UniControl, X-InstructBLIP, ULIP-2, LayoutDETR, GlueGen, HIVE, Contrast and Attention GANs, Scalable GAN Fingerprints, Artificial GAN Fingerprints, GAN Fingerprints, Inclusive GAN, Texture Mixer, etc.
Research Experience
- Work Experience: Previously worked with Salesforce, NVIDIA, and Adobe
- Research Projects: MAViS, VChain, Virtually Being, DEGS, FlashDepth, Go-with-the-Flow, Lux Post Facto, UniControl, X-InstructBLIP, ULIP-2, LayoutDETR, GlueGen, HIVE, Contrast and Attention GANs, Scalable GAN Fingerprints, Artificial GAN Fingerprints, GAN Fingerprints, Inclusive GAN, Texture Mixer, etc.
- Position: Lead Research Scientist at Netflix Eyeline
Education
- Degree: Joint Ph.D.
- Schools: University of Maryland and Max Planck Institute for Informatics
- Supervisors: Larry Davis, Mario Fritz
- Time: Not explicitly provided
- Major: Not explicitly provided
Background
- Research Interests: Visual and multimodal generative AI
- Professional Field: Controllable and customizable recreation of the world via generative AI, based on representations of multimodal contents and interactions between users and models
- Brief Introduction: Lead Research Scientist at Netflix Eyeline
Miscellany
- Personal Interests: Dedicated to academic services, serving as (Lead) Area Chair for several top conferences such as CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, AAAI, AISTATS, WACV, BMVC