Scholar
Lijie Liu
Google Scholar ID: N0bb1wEAAAAJ
ByteDance Inc.
Citations & Impact
Citations
259
H-index
4
i10-index
3
Publications
10
Co-authors
9
list available
Publications
Resume (English only)
Academic Achievements
- Publications: 'Deep Fitting Degree Scoring Network for Monocular 3D Object Detection' (CVPR 2019), 'Adversarial Transfer Networks for Visual Tracking' (IROS 2018); Awards: Best Oral Report at 2018 Asian Universities Alliance Postgraduate Academic Forum, Excellent Graduated Thesis in 2017, HAGE Scholarship from the Department of Automation, Tsinghua University in 2015 and 2016, Tsinghua University Academic Excellence Award in 2014, Hengda Scholarship, Tsinghua University in 2014, Third Prize in National Physics Contest of College Students in 2014.
Research Experience
- Senior Research Engineer at ByteDance Inc. since 2020, working on computer vision and generative models.
Education
- Master's degree from Tsinghua University, supervised by Professor Jiwen Lu; Bachelor's degree from the Department of Automation at Tsinghua University.
Background
- Research Interests: Computer Vision, Image Generation, Virtual Try-on, Image Stylization, Image Inpainting, 2D Object Tracking, 2D & 3D Object Detection, Scene Understanding. Specialties: Adversarial Learning, Diffusion Model, Transformer Model, Reinforcement Learning.
Miscellany
- Teaching: Teaching Assistant for 'Fundamentals of Analog Electronic' MOOC at Tsinghua University; Professional Service: Reviewer for IJCAI2022,2021, ICIP, ICME, CASE, ICPR, received highest accuracy and justification scores for all 4 papers reviewed in ICIP2018.
