Haozheng Yu

Hi, thanks for visiting my website! I am a PhD student at Cornell University, working with Prof. Bharath Hariharan. I am also a research intern at Adobe Research. I am interested in building AI systems that can understand, reconstruct and synthesize the dynamic 3D world from casual videos.

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.

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Inspired by Prof. Kyunghyun Cho and Prof. Wei-Chiu Ma, I commit 30 minutes to 1 hour per week to meet with undergraduates, early-career graduate students, or whoever is in need about research, career development, potential research opportunities, or graduate student life. Please feel free to reach out via email if you would like to chat :)

We introduce Semantic Motion Graph (SMG), which models Gaussians‘ motion as semantic motion, allowing reliable, semantically coherent nodes to guide uncertain motion for robust monocular dynamic Gaussian splatting.

We introduce Live Interactive Training (LIT), a novel framework for prompt-based visual systems where models learn online from human corrections at inference time.

We introduce WildFin, an in-the-wild video dataset and benchmark for recognizing fish behavior in complex marine environments.

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.

CS 3780: Intro to Machine Learning (FA 25, SP 26), Cornell University - Teaching Assistant

CS 4782: Intro to Deep Learning (SP 25), Cornell University - Teaching Assistant

Thanks Jon Barron for this great template!