Haozheng Yu

Hi, thanks for visiting my website! I am a PhD student at Cornell University. I am interested in understanding the 3D world around us using computer vision techniques.

Previously, I was a Machine Learning Engineer at Irreverent Labs. I spent a wonderful year at the Media Lab, Tencent America. I completed my M.S. in Computer Science at the University of Minnesota - Twin Cities, where I was fortunate to be advised by Prof. Hyun Soo Park. Prior to that, I received my Bachelor's degree in Computer Science and Technology from Central China Normal University.

Please feel free to reach out to me via email for any form of communication or collaboration :)

Email  /  CV [062023]  /  Google Scholar  /  LinkedIn  /  Github

We introduce the panel representation of panoramas to solve the indoor 360 understanding tasks.

We present a probabilistic epipolar constraint to learn a dense keypoint detector from unlabeled multiview images.

I designed a bootstrapping strategy to fine-tune a Mask-RCNN on monkey data with only sparse keypoint annotations. I implemented a voxel-based visual hull reconstruction to generate 3D monkey mesh from multiview segmentation results.

Thanks Jon Barron for this great template!