Greetings from Evanston.

I am currently a Ph.D. candidate at Northwestern University under the supervision of Prof. Ying Wu. My research interests lies in the intersection of computer vision and robotics, with a particular emphasis on active vision (the agent is endowed with the ability to move and perceive). I am constantly investigating the challenges inherent to active vision agents in an open-world context. These challenges include, but are not limited to, continual learning, few-sample learning, and uncertainty quantification.

Prior to my Ph.D., my researches primarily focused on the perception in autonomous driving vehicles, encompassing areas such as stereo vision, 3D mapping, moving-object detection and map repair.

My detailed resume/CV is here (last updated on August 2023).

πŸ”₯ News

  • 2023.07: Β πŸŽ‰ Our paper on uncertainty estimation has been accepted to ICCV 2023! Appreciation goes out to all advisors: Dr. Bo Liu, Dr. Haoxiang Li, Prof. Ying Wu, and Prof. Gang Hua!
  • 2023.03: Β πŸŽ‰ I will join Amazon Robotics as an Applied Scientist Intern this summer!
  • 2023.03: Β πŸŽ‰ I passed my Ph.D. prospectus exam! I would like to extend my gratitude to my committee: Prof. Ying Wu, Prof. Qi Zhu, and Prof. Thrasos N. Pappas.
  • 2022.10: Β πŸŽ‰ Our paper Avoiding lingering in learning active recognition by adversarial disturbance has been accepted to WACV 2023!

πŸ“– Educations

  • 2019.09 - 2023.12 (expected), Ph.D. cadidate in Electrical Engineering, advised by Prof. Ying Wu, Northwestern University.
  • 2017.09 - 2019.06, M.S. in Computer Science, advised by Prof. Long Chen, Sun Yat-sen University.
  • 2013.09 - 2017.06, B.E. in Computer Science, Sun Yat-sen University.

πŸ“ Publications

ICCV 2023

Flexible Visual Recognition by Evidential Modeling of Confusion and Ignorance

Lei Fan, Bo Liu, Haoxiang Li, Ying Wu, Gang Hua

Supplementary | Poster | Project

  • Modeling both confusion and ignorance with hyper-opinions.
  • Proposing a hierarchical structure with binary plausible functions to handle the challenge of 2^K predictions.
  • Experiments with synthetic data, flexible visual recognition, and open-set detection validate our approach.
WACV 2023

Avoiding Lingering in Learning Active Recognition by Adversarial Disturbance

Lei Fan, Ying Wu

Supplementary | Poster

  • Lingering: The joint learning process could lead to unintended solutions, like a collapsed policy that only visits views that the recognizer is already sufficiently trained to obtain rewards.
  • Our approach integrates another adversarial policy to disturb the recognition agent during training, forming a competing game to promote active explorations and avoid lingering.
ICCV 2021

FLAR: A Unified Prototype Framework for Few-sample Lifelong Active Recognition

Lei Fan, Peixi Xiong, Wei Wei, Ying Wu

Supplementary | Poster

  • The active recognition agent needs to incrementally learn new classes with limited data during exploration.
  • Our approach integrates prototypes, a robust representation for limited training samples, into a reinforcement learning solution, which motivates the agent to move towards views resulting in more discriminative features.

πŸ’» Internships

  • 2023.06 - 2023.09, Applied Scientist Intern, Amazon Robotics, Seattle, US.
    - Topic: Surface normal estimation and stability analysis.
    - Advisors: Dr. Shantanu Thaker, Dr. Sisir Karumanchi.
  • 2022.06 - 2022.09, Research Intern, Wormpex AI Research, Bellevue, US.
    - Topic: Uncertainty quantification for deep visual recognition.
    - Advisors: Dr. Bo Liu, Dr. Haoxiang Li, and Dr. Gang Hua.
  • 2020.06 - 2020.09, Research Intern, Yosion Analytics, Chicago, US.
    - Topic: Autonomous forklift in a human-machine co-working environment.
  • 2016.06 - 2016.09, Visual Engineer Intern, DJI, Shenzhen, China.
    - Topic: Stereo matching using the fish-eye cameras on drones.

πŸŽ– Honors and Awards

  • 2019.09 Northwestern University Murphy Fellowship.
  • 2018.06 Best Student Paper, IEEE Intelligent Vehicle Symposium.
  • 2019.09 National Merit Scholarship, China