Yifan Jiang

Yifan Jiang

Senior Research Scientist
Email: yifanjiang97 At utexas Dot edu
About

Hi, I am Yifan Jiang (江亦凡). I am a Senior Research Scientist at Meta SuperIntelligence Lab. I earned my PhD degree from University of Texas at Austin, VITA Group, supervised by Prof. Zhangyang (Atlas) Wang. Before that, I received my bachelor's degree from Huazhong University of Science and Technology. At Meta, I mainly work on personalized generative intelligence.

Awards:



Experiences
I've interned at Apple (AI/ML), Adobe (Marc Levoy's team), Google Research (GCam), Adobe (ART), and Bytedance AI Lab (US CV Lab).
Service
  • Reviewer or program committee member for CVPR'2021-2023, ICCV'2021-2023, ECCV'2022, ICML'2022-2023, NeurIPS'2022-2023, ICLR'2023, Siggraph'2022, Siggraph Aisa'2022, IROS'2023, WACV'2022, IJCAI'2023, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), IEEE Transaction on Image Processing (TIP), IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), International Journal of Computer Vision (IJCV), NeuroComputing, IEEE Transactions on Computational Imaging (TCI).
  • Workshop Organizer for ECCV RLQ-TOD Workshop 2020
    • Invited Talk
  • [May 2023] "Extreme Novel-view Synthesis and 3D Content Creation using Deep Generative Prior" at Caltech & UCLA, and Apple
  • [Jan 2023] "Learning to Enhance Low-light Images without Paired Supervision" at [IEEE SPS Webinar], after my TIP work EnlightenGAN was highlighted as one of SPS's top-25 most downloaded articles on IEEE Xplore®, 2021-2022
  • [Jan 2022] "Fast and High Quality Image Denoising via Malleable Convolution" at Adobe, NextCam.
  • [July 2021] "Vision Transformer for Image Generation, Editing, and Processing" at Google Research, GCam.
  • [Mar 2021] "TransGAN: Two Transformers Can Make One Strong GAN, and That Can Scale Up." at [机器之心], [智源社区], [cai-workshop], University of Oregon





    • The website template was originally borrowed from [1], then further optimized from [2],[3]. Thanks to them!