
Home - Chen Sun
About Me I am an assistant professor of computer science at Brown University, where I direct the PALM🌴 research lab, studying computer vision, machine learning, and artificial intelligence. I work part-time as a staff research scientist at Google DeepMind. Our research focuses on multimodal concept learning and reasoning, as well …
Publications - Chen Sun
Chen Sun, Manohar Paluri, Ronan Collobert, Ram Nevatia and Lubomir Bourdev, ProNet: Learning to Propose Object-specific Boxes for Cascaded Neural Networks. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2016 [ arXiv]
Application - Chen Sun
Information for Prospective Students Our lab always welcomes highly motivated student researchers. Unfortunately, I do not recruit summer interns. Current Brown Students I am teaching Deep Learning (CSCI 2470) in the Fall, and a research seminar course (CSCI 2952-N) in the Spring. A good opportunity for us to get to …
Contact - Chen Sun
Chen Sun 孙晨 Email: fullname at [brown.edu | google.com] Address: CIT 379, 115 Waterman Street, Providence, RI 02912
Miscellaneous - Chen Sun
Like most people from Tianjin, I love Xiangsheng and Jianbing. I am also into classical, jazz and rock music (60s and 90s), a weird combination. I spent five years in Los Angeles, where I learned to enjoy Korean food and kill time on road. My favorite movies about LA are …
Chen Sun and Ram Nevatia University of Southern California, Institute for Robotics and Intelligent Systems Los Angeles, CA 90089, USA fchensun|[email protected]
Jonathan Huang Alireza Fathi Vivek Rathod Chen Sun Ian Fischer Zbigniew Wojna Menglong Zhu Yang Song Anoop Korattikara Sergio Guadarrama Kevin Murphy Google Research
Chen Sun and Ram Nevatia ute for R videos in the wild, given o↵-the-shelf visual concept detectors. This problem is challenging due to the availability of sentence only annotations, the unreliability of on-cept detectors, and the lack of training samples for many words. Fac-ing these challenges, we propose a Semantic Awa
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era Chen Sun1, Abhinav Shrivastava1,2, Saurabh Singh1, and Abhinav Gupta1,2