CybersicknessAndNoise

August 27, 2026/in

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https://www.immersivecomputinglab.org/wp-content/uploads/2021/01/nyu-logo-1.jpg 0 0 Colin Groth https://www.immersivecomputinglab.org/wp-content/uploads/2021/01/nyu-logo-1.jpg Colin Groth2026-08-27 19:52:462026-08-27 19:53:33CybersicknessAndNoise

Research

Frequency-Adaptive Gaussian Grids for Efficient Image Representation
Perceptual Color Experience on Conventional and AR Displays across Color Gamut and Ambient Luminance
Infinite Gaze Generation for Videos with Autoregressive Diffusion
Physically Grounded Monocular Depth via Nanophotonic Wavefront Encoding
Attention Drives Cybersickness in Augmented Reality
Gaze-Contingent Counter-Vection Noise for Cybersickness Reduction
Dichoptic Foveation
Adapting Quality Metrics to Tone Mapping
Dynamic Visual Dominance in Stereoscopic Foveation
Cost-Aware Routing for Efficient Text-To-Image Generation
ML-PEA: Machine Learning-Based Perceptual Algorithms for Display Power Optimization
HOICraft: In-Situ VLM-based Authoring Tool for Part-Level Hand-Object Interaction Design in VR
Perceptual Impact of Peak Luminance and Contrast in Direct View HDR Display
Overdriving Visual Depth Perception via Sound Modulation in VR
Perceptually Guided 3DGS Streaming and Rendering for Virtual Reality

QI SUN
Assistant Professor
Computer Science and Engineering
Center for Urban Science and Progress
NYU Tandon School of Engineering
370 Jay Street
Brooklyn, NY 11201
qisun@nyu.edu

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