Hello, I’m Daohan Lu.
PhD Student @ NYU Courant CS

Contact Info
Profile Picture

Who am I?

Coder, photographer, researcher, student, gamer. Interested in machine learning and computer vision.

Education

2023-
New York University
Ph.D. in Computer Science; Co-advised by Andrew Wilson & Saining Xie.
2021-2022
Carnegie Mellon University
M.S. in Computer Vision @ Robotics Institute
2018-2021
New York University
B.A. in Economics and Computer Science @ College of Arts and Science
Feb 2022 - Jul 2023
Research Assistant (ML&CV)
CMU Generative Intelligence Lab (w/ Prof. Jun-yan Zhu)
June 2022 - Sept 2022
Machine Learning Engineer Intern
PathAI
May 2021 - Aug 2021
Research Assistant (ML&CV)
NYU CILVR Lab (w/ Prof. Rob Fergus)
Oct 2019 - Aug 2021
Research Assistant (ML&CV)
NYU MMVC Lab (w/ Prof. Yi Fang)
June 2019 - Aug 2019
Research Engineer Intern
Avigilon, Motorola Solutions

Resume

My current work and research focus is machine learning and computer vision. Below you can find my resume and LinkedIn.

Linkedin Download Resume

Select Projects

Paper: On Scaling Up 3D Gaussian Splatting Training

Paper: On Scaling Up 3D Gaussian Splatting Training

We present Grendel, a distributed training system, to partition 3D Gaussian Splatting (3D GS) parameters and parallelize its computation across multiple GPUs.

Site Arxiv GitHub

Modelverse

An online platform enabled by our algorithm for finding and sharing image generative models

Site Arxiv Youtube
Modelverse
Dance X Computer Vision

Dance X Computer Vision

A creative coding project that shows how modern computer vision allows people to make creative digital effects for dance without using dedicated hardware

Site Youtube

Paper: Meta Deformation Network

A novel, dynamically generated neural network for faster inferencing and higher parameter efficiency for 3D human shape correspondence.

Arxiv
Paper: Meta Deformation Network
Audi-Exchange

Audi-Exchange

AI-powered Hand Action Guidance to Assist Human-Human Interactions for the Blind and the Visually Impaired. Accepted to ACVR 2021 (https://iplab.dmi.unict.it/acvr2021/program) and presented as ICCV 2021 Workshop paper.

Paper Demo Video

Paper: Active Crowd Analysis for Pandemics

"Active Crowd Analysis for Pandemic Risk Mitigation for Blind or Visually Impaired Persons." Seondary Author, accepted to ACVR 2020 (https://iplab.dmi.unict.it/acvr2020/program)

Paper Supplementary
Paper: Active Crowd Analysis for Pandemics
App: N&P Remote Mouse and Keyboard

App: N&P Remote Mouse and Keyboard

Using your phone as your computer's keyboard and trackpad over Bluetooth or WiFi. A app I started in middle school with my good friend. 50K+ downloads.

Google Play

Github: Air Guitar with Hand Detection

Play air guitar unironically with your fingers (kind of).

Github Demo Video
Github: Air Guitar with Hand Detection
Github: Weakly Supervised Point-to-Tell

Github: Weakly Supervised Point-to-Tell

Learning with only classification labels (weak supervision) to segment images to determine the type of object someone is pointing at. Trained with custom a synthetic dataset that combines VOC and custom hand images.

Github

Tech@NYU Talk: Intro to Computer Vision

A community talk about the basics of computer vision (neural networks,convolution operations, learning parameters, etc.).

Youtube
Tech@NYU Talk: Intro to Computer Vision

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