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.
|Apr 2021||Invited talk at Georgia Tech RoboGrads Seminar|
|Mar 2021||Guest lecture at UIUC Advanced Computer Vision course|
|Feb 2021||Announcing the Streaming Perception Challenge (CVPR 2021)!|
|Oct 2020||Invited talk at Uber ATG|
|Aug 2020||Won the ECCV Best Paper Honorable Mention Award!|
|Apr 2020||Invited talk at Aurora|
Chittesh Thavamani*, Mengtian Li*, Nicolas Cebron, Deva Ramanan. Multi-Foveated Image Magnification for Autonomous Navigation. In ICCV, 2021.
Confucius (孔子) once said: “if a craftsman wants to do good work, he must first sharpen his tools (工欲善其事，必先利其器).” I find that this concept also applies to research. Over the years, I have created various tools related to my research and I have some of them open sourced on Github: