李 响 Xiang Li
I'm a Ph.D. candidate in the Dept of CS at Stony Brook University, advised by Prof. Michael S. Ryoo. I received my MS and BS from SJTU under the supervision of Prof. Yue Zhou.
My research interest includes visual representation learning, robotics and computer vision.
Email: xiangli8[at]cs[dot]stonybrook[dot]edu
Publication
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Crossway Diffusion: Improving Diffusion-based Visuomotor Policy via Self-supervised Learningpreprint, 2023 -
Peekaboo: Text to Image Diffusion Models are Zero-Shot Segmentorspreprint, 2022Diffusion Illusions: Hiding Images in Plain Sight, CVPR Outstanding Demos Award, 2023 -
Neural Neural Textures Make Sim2Real ConsistentCoRL, 2022 -
Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels?NeurIPS, 2022 -
StARformer: Transformer with State-Action-Reward Representations for Robot LearningIEEE TPAMI, Special Issue on Transformer Models in Vision, 2022Conference version is aceepted by ECCV, 2022
Project
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LiDAR based SLAM + GPS + NavigationROS C++ Python
This work was done during my internship at Beijing Falcon Self-driving Co., Ltd.. -
RC Car + Raspi + CameraArduino C++ Python
An open-source solution to transform general RC cars into powerful mobile vision platforms. -
Visual tracking with a moterized cameraC++
Use a moterized camera and STC to track moving vehicles. The moterized cradle was controlled by a PI controller via PELCO-D. GUI was made with MFC. -
There are other projects I worked on and enjoyed a lot: playing Android/PC games autonomously using computer vision, GPU cluster monitor based on Grafana and InfluxDB, SBC with various sensors and so on. They are not technically challenging but I love the fact that they significantly improved the quality of my life :)
Award
- Outstanding graduates in Shanghai, 2018
- National scholarship for graduate students, 2017
- Outstanding graduates of SJTU, 2015
Last update: Sept. 24, 2023 | Back to top