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Zhaoyang Lv  


Ph.D. candidate in Robotics, Georgia Institute of Technology
Wall Lab & BORG Lab, Institute for Robotics and Intelligent Machines

Previous Education:
M.Sc., Artificial Intelligence in Computing, Imperial College London
B.Sc., Electrical Engineering in Aeronauntics, Northwestern Polytechnical University


I am a Ph.D. student in Robotics at Georgia Tech, School of Interactive Computing, jointly advised by Prof. James Rehg, and Prof. Frank Dellaert. During my Phd, I am also fortunate to intern at Nvidia Research in the group of Jan Kautz and at Max Planck Institute with Prof. Andreas Geiger. Before I started my Phd at Gatech, I finished my Master thesis under the supervision of Prof. Andrew Davison at Imperial College London.

My research interests lie in general computer vision in 3D. My current focus is to explore fast, accurate approaches for dense 3D motion from visual signals in unconstrained environments, which is the core of my thesis. My strenghts are in the following fields:
  • 3D Scene Flow, Optical Flow, and Motion Tracking
  • Structure from Motion, Simultaneous Localization and Mapping

  • For students in CS 4476, please refer to the course website.

    Taking a Deeper Look at the Inverse Compositional Algorithm

    Zhaoyang Lv, Frank Dellaert, James M. Rehg, Andreas Geiger
    Computer Vision and Pattern Recognition (CVPR) 2019, Supplementary Materials, arXiv 1812.06861
    Oral Presentation, Best Paper Finalist (<1%), Video Slides (5 mins)
    Code , Poster


    A Continuous Optimization Approach for Efficient and Accurate Scene Flow

    Zhaoyang Lv, Chris Beall, Pablo F. Alcantarilla, Fuxin Li, Zsolt Kira, Frank Dellaert
    European Conference on Computer Vision (ECCV) 2016 , arXiv 1607.07983
    Project Page

    KinfuSeg System Image

    KinfuSeg: A Dynamic SLAM Approach Based on KinectFusion

    Zhaoyang Lv
    Master Thesis , Imperial College London
    Video Slides
    Thesis Advisor: Prof. Andrew Davison
    Distinguished Thesis in Department of Computing (3 among 71), Top 5%

    Multi-class Classification without Multi-class Labels

    Yen-Chang Hsu, Zhaoyang Lv, Joel Schlosser, Phillip Odom, Zsolt Kira
    International Conference on Learning Representations (ICLR) 2019, openreview
    Code

    Learning to Cluster in Order to Transfer across Domains and Tasks

    Yen-Chang Hsu, Zhaoyang Lv, Zsolt Kira
    International Conference on Learning Representations (ICLR) 2018, arXiv:1711.10125
    Code , A blog post on Machine Learning @ Gerogia Tech

    Deep Image Category Discovery using a Transferred Similarity Function

    Yen-Chang Hsu, Zhaoyang Lv, Zsolt Kira
    arXiv:1612.01253



    Motion Planning and Intention Prediction for Autonomous Driving in Highway Scenarios via Graphical Model-Based Factorization

    Zhaoyang Lv, Aliakbar Aghamohammadi, Amirhossein Tamjidi
    US Patent App. 15/601,047

    Holistic Planning with Multiple Intentions for Self-driving Cars

    Zhaoyang Lv, Aliakbar Aghamohammadi
    US Patent App. 15/604,437

    Georgia_tech_bird_view

    Large-Scale Collaborative Semantic Mapping using 3D Structure from Motion Data

    I build a Dense Reconstruction of Georgia Tech with Dr. Chris Beall from Stereo Images Only for this project.
    In this video, you can have a fly-through view of the reconstructed campus .




    Nvidia Research, Santa Clara, Jan. 2019 - May 2019

    Director: Dr. Jan Kautz, Mentors: Dr. Kihwan Kim, Dr. Deqing Sun, Dr. Alejandro Troccoli

    Autonomous Vision Group, Max Planck Institute for Intelligent System, Tuebingen, June 2018 - Nov. 2018

    Advisor: Prof. Andreas Geiger

    Nvidia Research, Santa Clara, May 2017 - Aug. 2017

    Director: Dr. Jan Kautz, Mentors: Dr. Kihwan Kim, Dr. Deqing Sun, Dr. Alejandro Troccoli

    Qualcomm Research, Greater San Diego, May 2016 - Aug. 2016

    Manager: Dr. Ali Agha

    Zhejiang University, Hangzhou, Dec. 2013 - July 2014

    Mentor: Prof. Guofeng Zhang



    Instructor for CS 4476 Introduction to Computer Vision, Georgia Tech, Summer 2019


    Teaching assistant for CS 7643 Deep Learning, Georgia Tech, Fall 2017

    Instructor: Prof. Dhruv Batra

    Teaching assistant for CS 4476 / 6476 Computer Vision, Georgia Tech, Fall 2016

    Instructor: Prof. James Hays

    Vice President in Public Relation for RoboGrads, Georgia Tech, Fall 2016 - Spring 2017


    Organizer for GT Computer Vision Reading Group, Georgia Tech, Spring 2015 - Fall 2018

    I started to organize the CPL reading group as a computer vision research discussion group across Computational Perception Lab (CPL) since 2015, and now there have been an active particaption from students in computer vision research in different labs across the campus. If you are interested to join or receive future notifications, please join our google group (It's open access, you can enroll yourself with your gmail account).

    Multiple reviewer services for T-PAMI, IJCV, T-MM, CVPR, ICCV, ICRA, IROS

    Outstanding Reviewer, CVPR 2019





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