Lijie Liu's Homepage

Research Engineer
ByteDance Inc.
Beijing 100084, China

Email: liulijie.gxz At bytedance dot com
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Biography

I am a research engineer at the ByteDance Inc. since 2020, where I work on computer vision. Before that, I obtained my master degree at Tsinghua University supervised by Professor Jiwen Lu. My Bachelor's degree is received from the Department of Automation at Tsinghua University.

See here for my resume.

Research Interests

  • Computer Vision
    • Image Generation: Working on Human Image Generation
    • Virtual Try-on: Working on Virtual Try-on Problem
    • Image Stylization: Working on Hand Image Stylization
    • Image Inpainting: Working on Image Inpainting Problem
    • 2D Object Tracking: Working on Correlation Filter-based and MDNet-based Tracker
    • 2D & 3D Object Detection: Working on Monocular Camera-based, Stereo Camera-based, and LiDAR-based Detectors
    • Scene Understanding: Monocular Depth Estimation, Image-based and LiDAR-based Semantic Segmentation
  • Machine Learning for Vision
    • Adversarial Learning: GAN
    • Diffusion Model: DDPM
    • Transformer Model: ViT, Swin
    • Reinforcement Learning: Policy Gradient, Deep Q Networks, Actor-Critic

News

Sept. 2021 -- Our FaceEraser paper is accepted by ICCV 2021 CV4ARVR Workshop!
Jun. 2020 -- One paper accepted to ECCV 2020 as Poster!
Mar. 2019 -- One paper accepted to CVPR 2019 as Poster!
Jun. 2018 -- One paper accepted to IROS 2018 as Oral!
Oct. 2016 -- Joined Professor Jiwen Lu's group.

Publications


Deep Fitting Degree Scoring Network for Monocular 3D Object Detection
[PDF][Project]

Lijie Liu, Jiwen Lu, Chunjing Xu, Qi Tian, Jie Zhou

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019

Adversarial Transfer Networks for Visual Tracking
[PDF][Project]

Lijie Liu, Jiwen Lu, Jie Zhou

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018

Teaching

Fundamentals of Analog Electronic, MOOC, Tsinghua University
Teaching Assistant (TA) with Chengying Hua
Fall 2015

Professional Service

  • Reviewer: IJCAI2022,2021, ICIP, ICME, CASE, ICPR.
    • Recieved Accuracy scores of 3 (highest) and Justification scores of 3 (highest) for all the 4 papers reviewed in ICIP2018.

Awards and Honors

  • Best Oral Report, 2018 Asian Universities Alliance Postgraduate Academic Forum.
  • Excellent Graduated Thesis, 2017.
  • HAGE Scholarship, Department of Automation, Tsinghua University, 2015,2016.
  • Tsinghua University Academic Excellence Award, 2014.
  • Hengda Scholarship, Tsinghua University, 2014.
  • Third Prize, National Physics Contest of College Students, 2014.

Talks

  • Adversarial Transfer Networks for Visual Tracking [slides] (3 minutes)
    • In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 10/2/2018
  • Adversarial Transfer Networks for Visual Tracking [slides] (20 minutes)
    • In 2018 Asian Universities Alliance Postgraduate Academic Forum, 10/21/2018
  • Deep Fitting Degree Scoring Network for Monocular 3D Object Detection [slides] (20 minutes)
    • In 2019 Beijing Universities Academic Forum of Artificial Intelligence, 3/30/2019