Monde Duinkharjav

Budmonde Duinkharjav
Дуйнхаржавын Будмондэ

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Email: budmonde@nyu.edu
Twitter: @budmonde
Github: budmonde
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Last Update: May 2, 2023

Bio

I am a PhD candidate 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.

Publications

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Color-Perception-Guided Display Power Reduction for Virtual Reality
[ NYU Project Page ]  [ arXiv ]  [
Citation duinkharjav2022vrpowersaver  copied to clipboard 
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Budmonde Duinkharjav*, Kenneth Chen*, Abhishek Tyagi, Jiayi He, Yuhao Zhu, Qi Sun (* co-authors)
ACM Transactions on Graphics 41(6) (Proceedings of ACM SIGGRAPH Asia 2022
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Reconstructing room scales with a single sound for augmented reality displays
[ Link ]  [
Citation liang2022audioreconstruction  copied to clipboard 
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Benjamin Liang, Andrew Liang, Iran Roman, Tomer Weiss, Budmonde Duinkharjav, Juan Pablo Bello, Qi Sun 
Journal of Information Display (2022)
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FoV-NeRF: Foveated Neural Radiance Fields for Virtual Reality
[ NYU Project Page ]  [ arXiv ]  [
Citation deng2021fovnerf  copied to clipboard 
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Nianchen Deng, Zhenyi He, Jiannan Ye, Budmonde Duinkharjav, Praneeth Chakravarthula, Xubo Yang, Qi Sun 
IEEE Transactions on Visualization and Computer Graphics (Proceedings of ISMAR 2022)
**Best Journal Paper Award**
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Image Features Influence Reaction Time: A Learned Probabilistic Perceptual Model for Saccade Latency
[ NYU Project Page ]  [ NVIDIA Project Page ]  [ arXiv ]  [
Citation duinkharjav2022gazetiming  copied to clipboard 
]

Budmonde Duinkharjav, Praneeth Chakravarthula, Rachel Brown, Anjul Patney, Qi Sun 
ACM Transactions on Graphics 41(4) (Proceedings of ACM SIGGRAPH 2022)
**Best Paper Award**
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Instant Reality: Gaze-Contingent Perceptual Optimization for 3D Virtual Reality Streaming
[ NYU Project Page ]  [ arXiv ]  [
Citation chen2022irg  copied to clipboard 
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Shaoyu Chen, Budmonde Duinkharjav, Xin Sun, Li-Yi Wei, Stefano Petrangeli, Jose Echevarria, Claudio Silva, Qi Sun 
IEEE Transactions on Visualization and Computer Graphics 28.5 (2022)
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Learning Non-stationary SVBRDFs using GANs and Differentiable Rendering
[ Paper link ]  [
Citation duinkharjav2019svbrdfgan  copied to clipboard 
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Budmonde Duinkharjav 
MIT M.Eng Thesis (2019)

Awards

May 2023 - Deborah Rosenthal, MD Award: NYU Outstanding Performance on the PhD Qualification Exam

Dec 2022 - Snap Research Fellowship Honorable Mention

Oct 2022 - IEEE ISMAR 2022 Best Journal Paper Award

Aug 2022 - ACM SIGGRAPH 2022 Best Paper Award

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