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perception dissertation

Computational Methods for Immersive Perception

May 1, 2018/in Dissertation

https://www.immersivecomputinglab.org/wp-content/uploads/2020/12/perception_dissertation.png 612 844 Academic Web Pages https://www.immersivecomputinglab.org/wp-content/uploads/2021/01/nyu-logo-1.jpg Academic Web Pages2018-05-01 11:23:362021-01-11 14:01:58Computational Methods for Immersive Perception

Research

Modeling the Impact of Head-Body Rotations on Audio-Visual Spatial Perception for Virtual Reality Applications
Exploiting Human Color Discrimination for Memory- and Energy-Efficient Image Encoding in Virtual Reality
The Shortest Route Is Not Always the Fastest: Probability-Modeled Stereoscopic Eye Movement Completion Time in VR
ARGUS: Visualization of AI-assisted Task Guidance in AR
Imperceptible Color Modulation for Power Saving in VR/AR
Toward Optimized VR/AR Ergonomics: Modeling and Predicting User Neck Muscle Contraction
Reconstructing Room Scales with a Single Sound for Augmented Reality Displays
FoV-NeRF: Foveated Neural Radiance Fields for Virtual Reality
Color-Perception-Guided Display Power Reduction for Virtual Reality
Force-Aware Interface via Electromyography for Natural VR/AR Interaction
Image Features Influence Reaction Time: A Learned Probabilistic Perceptual Model for Saccade Latency
Joint Neural Phase Retrieval and Compression for Energy- and Computation-efficient Holography on the Edge
Tailored Reality: Perception-Aware Scene Restructuring for Adaptive VR Navigation
Larger visual changes compress time: The inverted effect of asemantic visual features on interval time perception
Modeling and Optimizing Human-in-the-Loop Visual Perception Using Immersive Displays: A Review

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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