Lan Feng (冯岚)

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Hi! I am a Ph.D. student at EPFL, advised by Prof. Alexandre Alahi.

I’m interested in advancing deep learning through a data-centric perspective, focusing on:

  • Attributing model predictions to training data and optimizing data selection.
  • Modeling data distributions with generative models for large-scale systems.
  • Applying data-centric techniques to LLMs, robotics, and computer vision to improve performance with less computational resources.

News

Dec 3, 2024 More data is not all you need? TAROT is now on arXiv! See how we use less data for better performance.
Jul 17, 2024 UniTraj is accepted to ECCV 2024 🔥! Thanks to all my collaborators.
Mar 25, 2024 Our work on scalable vehicle trajectory prediction: UniTraj is now on Arxiv. Code is released! 🚀
Jan 29, 2024 My thesis on SynH2R has been accepted to ICRA 2024!
Nov 1, 2023 I came to the VITA lab at EPFL for an internship. I will work with Prof. Alexandre Alahi on autonomous driving.

Publications (* indicates joint first author)

  1. arXiv
    TAROT: Targeted Data Selection via Optimal Transport
    Lan, Feng* , Fan Nie*, Yuejiang Liu, and Alexandre Alahi
    In arXiv (arXiv) , 2024
    PDF Code
  2. ECCV
    UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction
    Lan, Feng* , Mohammadhossein Bahari*, Kaouther Messaoud Ben Amor, Éloi Zablocki, Matthieu Cord, and Alexandre Alahi
    In European Conference on Computer Vision (ECCV) , 2024
    PDF Code Website
  3. ICRA
    SynH2R: Synthesizing Hand-Object Motions for Learning Human-to-Robot Handovers
    Sammy Christen*, Lan, Feng* , Wei Yang, Yu-Wei Chao, Otmar Hilliges, and Jie Song
    In International Conference on Robotics and Automation (ICRA) , 2024
    PDF Website
  4. NeurIPS
    ScenarioNet: Open-Source Platform for Large-Scale Traffic Scenario Simulation and Modeling
    Quanyi Li*, Zhenghao Peng*, Lan, Feng* , Zhizheng liu, Chenda Duan, Wenjie Mo, and Bolei Zhou
    In Neural Information Processing Systems, Dataset & Benchmark Track (NeurIPS) , 2023
    PDF Code Website
  5. ICRA
    TrafficGen: Learning to Generate Diverse and Realistic Traffic Scenarios
    Lan, Feng* , Quanyi Li*, Zhenghao Peng*, Shuhan Tan, and Bolei Zhou
    In International Conference on Robotics and Automation (ICRA) , 2023
    PDF Code Video Website
  6. ECCV workshop
    Controllable Human Grasp Generation
    Lan, Feng , Sammy Christen, and Jie Song
    In European Conference on Computer Vision workshop (ECCV workshop) , 2022
    PDF Poster
  7. NeurIPS
    Human-AI Shared Control via Frequency-based Policy Dissection
    Quanyi Li, Zhenghao Peng, Haibin Wu, Lan, Feng , and Bolei Zhou
    In Neural Information Processing Systems (NeurIPS) , 2022
    PDF Code Video Website
  8. TPAMI
    MetaDrive: Composing Diverse Driving Scenarios for Generalizable Learning
    Quanyi Li*, Zhenghao Peng*, Lan, Feng , Qihang Zhang, Zhenghai Xue, and Bolei Zhou
    In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) , 2022
    PDF Code Video Website

Projects

  1. 1st Place
    IP-MMT: Interaction Prediction via MultiModal Transformer
    Lan, Feng* , Qihang Zhang*, Yicheng Liu, Fan Li, Gang Sun, Chunxiao Liu, and Bolei Zhou
    In Waymo Open Dataset Challenge—Interaction Prediction Track (1st Place) , 2021
    PDF Website
  2. Course Project
    Floorplan Localization and Navigation
    Lan, Feng , Ziteng Wang, Yuhan Zhang, Tianyi Zhang, and Paul-Edouard Sarlin
    In Mixed Reality (Course Project) , 2022
    PDF
  3. Course Project
    Towards World Models for Robot Navigation
    Lan, Feng , Xiang Liu, and Daniel Dugas
    In Perception and Learning for Robotics (Course Project) , 2022
    PDF
  4. Course Project
    Benchmarking Safety Performance in Reinforcement Learning with Statistical Metrics
    Lan, Feng , Junzhe He, Lei Li, and Niao He
    In Foundation of Reinforcement Learning (Course Project) , 2021
    PDF