Ph.D. Student, CMU RI
Smith Hall 224
Email: mtli [at] cs [dot] cmu [dot] edu
I am a Ph.D. student (2017-) at the Robotics Insitute of Carnegie Mellon University, where I am fortunate to work with Deva Ramanan. Previously, I was a master student at the same institute, advised by Daniel Huber. I received my B.S. from Kuang Yaming Honors School of Nanjing University.
My research interest is in computer vision and machine learning. In particular, I am interested in resource-constrained learning and inference.
Mengtian Li, Yu-Xiong Wang and Deva Ramanan. Towards Streaming Perception. In ECCV, 2020.
Best Paper Honorable Mention
Mengtian Li, Ersin Yumer and Deva Ramanan. Budgeted Training: Rethinking Deep Neural Network Training Under Resource Constraints. In ICLR, 2020.
Mengtian Li, Zhe Lin, Radomír Měch, Ersin Yumer and Deva Ramanan. Photo-Sketching: Inferring Contour Drawings from Images. In WACV, 2019.
I wrote a python-HTML-javascript tool for computer vision research. Might be really handy for visualizing datasets, comparing algorithms and making figures for papers!