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Jin Sun

Postdoctoral Associate

2 W Loop Rd, New York, NY 10044

jinsun AT cornell.edu

Research Interests

My research focus in computer vision has been object recognition and scene understanding in general. In particular, I'm working on learning the complex interactions between objects: e.g., geometrical and contextual.

I'm also interested in applying computer vision in applications such as Human Computer Interactions to improve people's quality of life.



Background

I'm currently a Postdoctoral Associate at Cornell Tech, working with Prof. Noah Snavely. I received my PhD degree in Computer Science from the University of Maryland. My PhD advisor is Prof. David Jacobs.

Previously I was in a 3+2 program where I received a Master's degree in Computer and Information Science from Temple University and my Bachelor's degree in Automation from the University of Science and Technology of China (USTC). My advisor in Temple was Prof. Haibin Ling.

I graduated from the High School Affiliated to Renmin University of China (RDFZ).

Curriculum Vitae

Selected Publications

Towers of Babel: Combining Images, Language, and 3D Geometry for Learning Multimodel Vision
Xiaoshi Wu*, Hadar Averbuch-Elor*, Jin Sun, Noah Snavely
The International Conference on Computer Vision (ICCV), 2021. [Arxiv] [Project]

Hidden Footprints: Learning Contextual Walkability from 3D Human Trails
Jin Sun, Hadar Averbuch-Elor, Qianqian Wang, Noah Snavely
The European Conference on Computer Vision (ECCV), 2020. [Arxiv] [Project]

Visual Chirality
Zhiqiu Lin, Jin Sun, Abe Davis, Noah Snavely
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 (Oral Presentation). [Arxiv] [Project]

Best Paper Nominee


Leveraging Vision Reconstruction Pipelines for Satellite Imagery
Kai Zhang, Jin Sun, Noah Snavely
IEEE International Conference on Computer Vision Workshops (ICCVW), Seoul, Korea, 2019. [Arxiv] [Project]

Label Denoising Adversarial Network (LDAN) for Inverse Lighting of Face Images
Hao Zhou*, Jin Sun*, Yaser Yacoob, David Jacobs
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Utah, United States, 2018 (Spotlight Presentation). [Arxiv]

Seeing What Is Not There: Learning Context to Determine Where Objects Are Missing
Jin Sun and David Jacobs
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Hawaii, United States, 2017 (Spotlight Presentation). [Arxiv]

Generate Holistic 3D Scene Abstractions for Text-based Image Retrieval
Ang Li, Jin Sun, Joe Yue-Hei Ng, Ruichi Yu, Vlad I. Morariu, Larry S. Davis
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Hawaii, United States, 2017. [Arxiv]

Tohme: Detecting Curb Ramps in Google Street View Using Crowdsourcing, Computer Vision, and Machine Learning
Kotaro Hara, Jin Sun, Robert Moore, David Jacobs, Jon Froehlich
27th ACM Symposium on User Interface Software and Technology (UIST), Hawaii, United States, 2014. [PDF]

19th Annual Best of Computing “Notable Books and Articles”, ACM Computing Reviews.


Scale and Object Aware Image Thumbnailing
Jin Sun and Haibin Ling
International Journal of Computer Vision (IJCV), 2013. [PDF],[Code],[Dataset]

Scale and Object Aware Image Retargeting for Thumbnail Browsing
Jin Sun and Haibin Ling
13th IEEE International Conference on Computer Vision (ICCV), Barcelona, Spain, 2011. [PDF]

Object Category Classification Using Occluding Contours
Jin Sun, Christopher Thorpe, Nianhua Xie, Jingyi Yu, and Haibin Ling
6th International Symposium on Visual Computing (ISVC), Las Vegas, United States, 2010. Oral Presentation. [PDF], [Dataset (DT-OC5)]