Richzhang.github.io Website Review

i recently joined adobe research as a research scientist. i was previously a phd student at uc berkeley, advised by professor alexei interests are in computer vision, machine learning, de*p learning, graphics, and image procesing. if you have similar interests and are interested in collaborating during a summer 2019 internship, feel free to contact me. please tell me about your past research experience and what you would potentially like to do. the goal of an internship is a publication, typically cvpr or siggraph (see my two most recent publications, which were from my summer 2017 internship). interns are typically phd students. the number of slots is limited, so we unfortunately cannot accept everyone.. the unreasonable effectiveness of de*p features as a perceptual metric. sensor fusion for semantic segmentation of urban scenes richard zhang, stefan candra, kai vetter. automatic identification of window regions on indoor point clouds using lidar and cameras. image synthesis for self-supervised visual representation learning. introduction to artificial intelligence (cs 188), uc berkeley graduate student instructor (gsi) with prof. anca dragan computer vision (cs 280), uc berkeley graduate student instructor (gsi) with prof. alexei a. efros introduction to circuits (ece 2100), cornell university teaching as*istant (ta) with prof. alyosha molnar