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Guoyu Lu

Assistant Professor
Chester F. Carlson Center for Imaging Science
Rochester Institute of Technology
Office: CAR-3132
54 Lomb Memorial Dr., Rochester, NY 14623
Email: luguoyu at cis.rit.edu
Phone: (585) 475-6518

I am looking for motivated PhD students with background on Computer Vision/Deep Learning/Robotics to join my team. Please send me your resume if interested.

I am an Assistant Professor at the Chester F. Carlson Center for Imaging Science of Rochester Institute of Technology (RIT). Prior to joining RIT, I was a research scientist on autonomous driving at Ford Research and computer vision engineer at ESPN Advanced Technology Group. I finished my PhD and MS in Computer Science at the University of Delaware. Before coming to UD, I was in European Master in Informatics (EuMI) Erasmus Mundus program. I obtained Master degree in Computer Science at University of Trento and Master degree in Media Informatics at RWTH Aachen University. I also finished an academic visiting in Auckland University of Technology KEDRI group during the summer of 2012 (winter in New Zealand). I was a research intern at Siemens Corporate Research in Princeton and Bosch Research in Palo Alto. I finished my Bachelor degree in Software Engineering at Nanjing University of Posts & Telecommunications, with a minor in Business Administration and Management.

I have board research interests spreading across computer vision, machine learning, multimedia, biomedical imaging, and robotics.

Guoyu Lu, Liqiang Nie, Scott Sorenson, Chandra Kambhamettu, Large-scale Tracking for Images with Few Textures, IEEE Transactions on Multimedia, 2017

Guoyu Lu, Yan Yan, Nicu Sebe, Chandra Kambhamettu, Indoor Localization via Multi-View Images and Videos, Journal of Computer Vision and Image Understanding (CVIU), 2017

Guoyu Lu, Li Ren, Abhishek Kolagunda, Xiaolong Wang, Ismail, Turkbey, Peter Choyke, Chandra Kambhamettu, Representing 3D Shapes based on Implicit Surface Functions Learned from RBF Neural Networks, Journal of Visual Communication and Image Representation, 2016

Guoyu Lu, Yan Yan, Li Ren, Philip Saponaro, Nicu Sebe and Chandra Kambhamettu, Where Am I in the Dark: Exploring Active Transfer Learning on the Use of Indoor Localization based on Thermal Imaging, Journal of Neurocomputing, 2016

Gaowen Liu, Yan Yan, Subramanian Ramanathan, Jingkuan Song, Guoyu Lu, Nicu Sebe, Active Domain Adaptation with Noisy Labels for Multimedia Analysis, Journal of World Wide Web 2016

Guoyu Lu, Nicu Sebe, Confu Xu, Chandra Kambhamettu, Memory Efficient Image-based Localization, Journal of Multimedia Tools and Applications, 2015


Yawen Lu, Guoyu Lu, Deep Unsupervised Learning for Simultaneous Visual Odometry and Depth Estimation, 26th IEEE International Conference on Image Processing (ICIP), 2019

Guoyu Lu, Xue-Iuan Wong, James McBride, From Mapping to Localization: A Complete Framework to Visually Estimate Position and Attitude for Autonomous Vehicles, 26th IEEE International Conference on Image Processing (ICIP), 2019

Guoyu Lu, Yahong Han, 3D Shape Retrieval Through Multilayer RBF Neural Network, 26th IEEE International Conference on Image Processing (ICIP), 2019

Guoyu Lu, Xue-Iuan Wong, Taking Me to The Correct Place: Vision-based Localization for Autonomous Vehicles, 26th IEEE International Conference on Image Processing (ICIP), 2019

Guoyu Lu, Jingkuan Song, 3D Image-based Indoor Localization Joint With WiFi Positioning, ACM ICMR 2018

Guoyu Lu, Huili Yu, Chun Yuan, Getting Rid of Night: Thermal Image Classification Based on Feature Fusion, 24th ICPR 2018

Guoyu Lu, Li Ren, Jeff Caplan, Chandra Kambhamettu, Stromule Branch Tip Detection Based on Accurate Cell Image Segmentation, 24th IEEE International Conference on Image Processing (ICIP), 2017

Guoyu Lu, Li Ren, Abhishek Kolagunda, Chandra Kambhamettu, Neural Network Shape: Organ Shape Representation With Radial Basis Function Neural Networks, 41st ICASSP (NSF travel grant) 2016.

Guoyu Lu, Yan Yan, Abhishek Kolagunda, Chandra Kambhamettu, A Fast 3D Indoor-localization Approach Based on Video Queries, 22nd Multimedia Modelling Conference (MMM) (oral), 2016

Guoyu Lu, Yan Yan, Li Ren, Jingkuan Song, Nicu Sebe, Chandra Kambhamettu, Localize me Anywhere, Anytime: A Multi-task Point-Retrieval Approach, ICCV 2015

Abhishek Kolagunda, Guoyu Lu, Chandra Kambhamettu, Hybrid Hierarchical Shape Representation for Medical Shapes, BMVC 2015

Guoyu Lu, Yan Yan, Nicu Sebe, Chandra Kambhamettu, Knowing Where I Am:Exploiting Multi-Task Learning for Mult-view Indoor Image-based Localization, 25th BMVC, 2014

Guoyu Lu, Vincent Ly, Chandra Kambhamettu, Structure-from-Motion Reconstruction Based on Weighted Hamming Descriptors, 24th IEEE IJCNN, 2014

Guoyu Lu, Yingjie Hu, Chandra Kambhamettu, Weighted SIFT Feature Learning with Hamming Distance for Face Recognition, The 9th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP) 2014. (Oral)

Guoyu Lu, Vincent Ly, Chandra Kambhamettu, Large-scale Structure-from-Motion Reconstruction with small memory consumption, The 11th International Conference on Advances in Mobile Computing and Multimedia, 2013

Guoyu Lu, Vincent Ly, Xiaolong Wang, Rohith MV, Orlando Ayala, Lian-Ping Wang, Chandra Kambhamettu, A Tool for VisualizingLarge-Scale Interactions Between Turbulence and Particles in 3D Spacethrough 2D Trajectory Visualization, International Symposium on Visual Computing, 2013. (oral)

Guoyu Lu, Vincent Ly, Haoquan Shen, Abhishek Kolagunda, ChandraKambhamettu, Improving Image-based Localization Through Increasing Correct Feature Correspondences, International Symposium on Visual Computing, 2013. (oral)

Rohith MV, Stephen Rhein, Guoyu Lu, Scott Sorensen, Andrew R. Mahoney, Hajo Eicken, Iterative reconstruction of large scenes using heterogeneous feature tracking, CVPR workshop (Big Data Computer Vision) 2013

Xiaolong Wang, Vincent Ly, Guoyu Lu Chandra Kambhamettu, Could We Minimize the Influence Brought by Gender and Race Difference in Age Estimation?, 12th IEEE International Conference on Machine Learning and Applications (ICMLA), 2013

Ammar Mohemmed, Guoyu Lu, Nikola Kasabov, Evaluating SPAN Incremental Learning for Handwritten Digit Recognition, 19th ICONIP conference, 2012 (Oral)

Guoyu Lu, Lane departure warning and vehicle tracking system based on vision, (Winner of European Alliance for Innovation (EAI) students' competition), 2011

  • Yawen Lu, 2018 -
  • Devarth Parikh, 2019 -
  • MS:
  • Pranav Kelkar, 2018-
  • BS:
  • Donald Shultz, 2018-
  • Alumni:
  • Makayla Roof, BS, 2017-2018 (now Imaging Scientist at D3 Engineering)
  • Sophia Kourian, BS, 2018-2019 (now System Engineer at United Technologies)
  • Teaching
  • IMGS-712 Multi-view Imaging (Spring 2019)
  • IMGS-682 Image Processing and Computer Vision (Spring 2019)
  • IMGS-712 Multi-view Imaging (Spring 2018)
  • IMGS-789 Robot Vision (Fall 2018)
  • Professional Services

    Last updated: May, 2019