Haozheng Yu

Hi, thanks for visiting my website! I am a Machine Learning Engineer at Irreverent Labs. I'm interested in understanding the 3D world around us using computer vision and machine learning techniques.

Previously, 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 and a Minor in International Economics and Trade from Wuhan 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!