Scholar
Taimoor Tariq
Google Scholar ID: mDWSp-YAAAAJ
University of Lugano
Citations & Impact
Citations
86
H-index
5
i10-index
3
Publications
10
Co-authors
6
list available
Publications
Resume (English only)
Academic Achievements
- Work on depth and distance perception in AR/VR to be presented at SIGGRAPH 2025; work on preserving motion perception in AR/VR to be presented at SIGGRAPH 2024; work on ultra-fast perceptually adaptive tone mapping on VR headsets to be presented at SIGGRAPH Asia 2023; work on perceptual enhancement for real-time AR/VR to be presented at SIGGRAPH 2022.
Research Experience
- Currently works on designing 📸 Algorithms at Apple; has also worked with the Applied Perception Science and Display Systems Research teams at Meta on real-time perceptually optimized computational display algorithms for AR/VR; during his Master's, he researched at KAIST on how image/video enhancement neural networks understand visual quality.
Education
- PhD under the mentorship of Piotr Didyk, working towards realizing the dream of real-time AR/VR that is visually indistinguishable from the real world. During his Master's, he was a research fellow at KAIST, investigating how image/video enhancement neural networks understand visual quality and how to teach them to perceive it the same way humans do.
Background
- Scientist and Engineer interested in understanding and maximizing the perceived quality of visual experiences. Primary interests lie in the intersection of human vision science and real-time computer graphics, working on understanding, quantifying, and maximizing perceptual realism, accurate reproduction, and quality for real-time image/video capture (computational photography), synthesis (rendering/graphics), and display (computational display).
Miscellany
- Personal interests include photography; gave an invited talk at University College London (UCL) on his work on Perceptual Optimization of Realism for real-time AR/VR in February 2024.
