Budmonde Duinkharjav
Дуйнхаржавын Будмондэ
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Last Update: Jun 4, 2025
budmonde@gmail.com
/in/budmonde
@budmonde.bsky.social
@budmonde
budmonde
... if it exists, it's "budmonde".
Resume
Google Scholar
Last Update: Jun 4, 2025
I am a PhD graduate at NYU's Immersive Computing Lab, advised by Prof. Qi Sun. My research is focused around studying the relationship between what we observe in our surroundings and how its perception affects our behavior and ability to perform visual tasks in the context of comptuer graphics applications. More broadly, I'm interested in how research on human perception can be leveraged to augment and improve computer graphics systems to aide in our daily lives.
Prior to starting my studies at NYU in Spring 2021, I received my BS and MEng degrees in Computer Science and Engineering at MIT in 2018 and 2019 respectively. During my time at MIT, I was part of the Computer Graphics Group at CSAIL, and was advised by Prof. Fredo Durand, where I worked on incorporating differentiable ray tracing into machine learning pipelines.
Updates
Sep 2025
I will be starting a full-time position at NVIDIA's AI for Graphics and Gaming team starting this fall.
Apr 2025
I successfully defended my thesis titled Psychophysical Methods for Enhancing Immersive Graphics Systems!
Aug 2024
I plan to graduate in May 2025, and I'm on the market looking for full-time opportunities as a research scientist.
May 2024
I started an internship at NVIDIA's AI for Graphics and Gaming team mentored by Anjul Patney and Loudon Cohen.
May 2023
I started an internship at Adobe Research mentored by Chang Xiao.
May 2023
I received an award for Outstanding Performance on the PhD Qualification Exam at NYU.
Dec 2022
I got an Honorable Mention at the Snap Research Fellowship.
Oct 2022
A paper I contributed to received the Best Journal Paper Award at IEEE ISMAR 2022.
Aug 2022
My first-authored paper received the Best Paper Award at ACM SIGGRAPH 2022.
May 2022
I started an internship at NVIDIA's Human Performance and Experience Team (HPX) mentored by Rachel Brown.
Publications
Psychophysical Methods for Enhancing Immersive Graphics Systems
NYU 2025 | PhD Dissertation
I investigate applications of psychophysics methods for understanding human perception and behavior within the context of immersirve graphics systems.
FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Efficient Foveated Rendering in Virtual Reality
IEEE VR 2025
Eye tracking prediction based on IR camera footage can be improved by implementing a transformer-based neural network model.
Evaluating Visual Perception of Object Motion in Dynamic Environments
SIGGRAPH Asia 2024 | Journal
Human estimation of object movements in a 3D environment exhibits perceptual errors during self-movement; we model and predict this estimation error towards designing human perception-aware content design.
Exploiting Human Color Discrimination for Memory- and Energy-Efficient Image Encoding in Virtual Reality
ASPLOS 2024
A frame buffer compression scheme for HMDs is achieved by leveraging peripheral deterioration of color discrimination.
The Shortest Route Is Not Always the Fastest: Probability-Modeled Stereoscopic Eye Movement Completion Time in VR
SIGGRAPH Asia 2023 | Journal
The amplitude and direction of gaze movements in binocular vision exhibit different temporal performance characteristics; our computational model predicts this relationship.
Color-Perception-Guided Display Power Reduction for Virtual Reality
SIGGRAPH Asia 2022 | Journal
A power saver for OLED modules in untethered HMDs is achieved by applying a perceptually unnoticeable foveated color modulation filter.
Reconstructing room scales with a single sound for augmented reality displays
JID 2022
Room dimensions can be inferred from hearing how an audio signal propogates within.
FoV-NeRF: Foveated Neural Radiance Fields for Virtual Reality
ISMAR 2022Best Journal Paper
Neural Radiance Field performance can be accelerated while perserving visual fidelity in egocentric applications via a coordinate system re-parameterization.
Image Features Influence Reaction Time:
A Learned Probabilistic Perceptual Model for Saccade Latency
SIGGRAPH 2022 | JournalBest Paper
Human decision making performance varies as a function of the image features observed; this relationship can be leveraged to tailor graphics applications for best performance.
Instant Reality: Gaze-Contingent Perceptual Optimization for 3D Virtual Reality Streaming
TVCG 2022
Data transmission bandwidth is saved by determining the LOD of 3D assets in a foveated manner.
Learning Non-stationary SVBRDFs using GANs and Differentiable Rendering
MIT 2019 | MEng Dissertation
Texture-maps for 3D assets can be learned directly from rendered images via differentiable ray tracing and GANs.
Posters and Demos
Imperceptible Color Modulation for Power Saving in VR/AR
SIGGRAPH 2023 | Emerging Technologies Demo
Follow-up live demo of the power saver for OLED modules in untethered HMDs; see Color-Perception-Guided Display Power Reduction for Virtual Reality for details.
Modeling and Optimizing Human-in-the-Loop Visual Perception Using Immersive Displays: A Review
SID 2022 | Invited Article
A brief review of the intersection of human visual perception and immersive display research.
Teaching Experience
MIT 6.815/865: Digital and Computational Photography: Teaching Assistant, Spring 2019
MIT 6.858: Computer Systems Security: Teaching Assistant, Spring 2018
MIT 6.148: WebLab: Introduction to Web Programming: Co-Instructor
Lecture Videos:
Winter 2017
and
Winter 2018