• I am currently a Ph.D. student in Video/Image Modeling and Synthesis Lab of Computer Science Department at the University of Delaware, advised by Dr. Chandra Kambhamettu. I also affiliated with Delaware Biotechnology Institude, co-advised by Jeffrey Caplan

• My research interests lie in the general area of computer vision and machine learning. I have great passion and experience in solving real-world computer vision problems using deep learning approaches and classic computer vision techniques.

• My most recent project is to collaborate with Delaware Biotechnology Institute and develop methods to quantify filamentous structures of cells in microscopic images. My proposed methods has been great help for biologists to conduct further scientific research.

• My responsibilties include communicating with biologist, data collection, data preprocssing, model design, model evaluation and model deployment.

• The topic of my project involves image segmentation, data augmentation, instance segmentation, object detection, tracking, clustring analysis and etc.

• I also have great interests in uncertainty estimation and anomaly detection.

Education

• 2017.09 - Present
  University of Delaware, Ph.D in Computer Science, GPA 4.0/4.0, Computer Vision, Deep Learning

• 2016.01 - 2017.07
  University of Maryland, M.S in Structural Engineering, GPA 3.9/4.0, Computational Structural Engineering, Finite Element Analysis

• 2011.09 - 2015.07
  Hunan University, B.S. in Structural Engineering, Top 3 Graduation Project

Publications

• Yi Liu, Alexander Nedo, Kody Seward, Jeffrey Caplan, Chandra Kambhamettu, Quantifying Actin Filaments in Microscopic Images using Keypoint Detection Techniques and A Fast Marching Algorithm, ICIP, 2020. Link to paper
• Yi Liu, Abhishek Kolagunda, Wayne Treible, Alex Nedo, Jeffrey Caplan, Chandra Kambhamettu, Intersection To Overpass: Instance Segmentation on Filamentous Structures with An Orientation-Aware Neural Network and erminus Pairing Algorithm, CVPR Bioimaging Workshop, 2019. Link to paper
• W. Treible, P. Saponaro, Y. Liu, A. Das Gupta, V. Veerendraveer, S. Sorensen, C. Kambhamettu., CATS 2: Color And Thermal Stereo Scenes with Semantic Labels. Vision for All Seasons: Bad Weather and Nighttime (CVPRW), 2019. Link to paper
• Liu, Y., Treible, W., Kolagunda, A., Nedo, A., Saponaro, P., Caplan, J. and Kambhamettu, C., Densely Connected Stacked U-Network for Filament Segmentation in Microscopy Images, ECCV Workshops, 2018.Link to paper

Paper Under Review:

• Yi Liu, Jeffrey Caplan, Chandra Kambhamettu, Extracting and clustering of Actin Segments in time-series microscopic images
• Yi Liu, Alexander Nedo, Jeffrey Caplan, Chandra Kambhamettu, Quantification of filamentous structures in microscopic images
• Yi Liu, Alexander Nedo, Lauren Olson, Jeffrey Caplan, Chandra Kambhamettu, Instance segmentation on thin and elongated objects with LSTM network
• Wayne Treible, Alexander Nedo, Kody Seward, Yi Liu, Jeffrey Caplan, Chandra Kambhamettu, Automatic Classification and Quantification of Stromule Dynamics from Microscopy Images

Conference Talks/Presentations:

• Yi Liu, Alexander Nedo, Kody Seward, Jeffrey Caplan, Chandra Kambhamettu, Quantifying Actin Filaments in Microscopic Images using Keypoint Detection Techniques and A Fast Marching Algorithm, ICIP, 2020. Dubai, United Arab Emirates Link to video
• Yi Liu, Abhishek Kolagunda, Wayne Treible, Alex Nedo, Jeffrey Caplan, Chandra Kambhamettu, Intersection To Overpass: Instance Segmentation on Filamentous Structures with An Orientation-Aware Neural Network and erminus Pairing Algorithm, CVPR Bioimaging Workshop, 2019. Long Beach, CA, USA
• Liu, Y., Treible, W., Kolagunda, A., Nedo, A., Saponaro, P., Caplan, J. and Kambhamettu, C., Densely Connected Stacked U-Network for Filament Segmentation in Microscopy Images, ECCV Workshops, 2018. Munich, Germany