Scholar
Pedro Figueirêdo
Google Scholar ID: K09l2DUAAAAJ
Texas A&M University
Citations & Impact
Citations
29
H-index
2
i10-index
2
Publications
8
Co-authors
2
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- 1. RealMat: Realistic Materials with Diffusion and Reinforcement Learning, arXiv, 2025
- 2. Neural Importance Sampling of Many Lights, SIGGRAPH, 2025
- 3. Neural Path Guiding with Distribution Factorization, Eurographics Symposium on Rendering (EGSR), 2025
- 4. Frame Interpolation for Dynamic Scenes with Implicit Flow Encoding, WACV, 2023
- 5. Machine Generation of Audio Description for Blind and Visually Impaired People, ACM Transactions on Accessible Computing, 2023
- 6. How to Increase Interest in Studying Functional Programming via Interdisciplinary Application, Proceedings Eighth and Ninth International Workshop on Trends in Functional Programming in Education, 2020
Research Experience
- 1. Graphics Research Intern at Intel in Fall 2025
- 2. Research Intern at NVIDIA in 2023
- 3. Machine Learning Intern at Ericsson in 2021
Education
- 1. PhD candidate in the Computer Science and Engineering department at Texas A&M University, advised by Nima Kalantari
- 2. Graduated summa cum laude with a B.Sc. in Computer Science from Eötvös Loránd University, Hungary
- 3. Previously a B.Sc. student in Computer Engineering at Universidade Federal da Paraíba, Brazil
Background
- My research is primarily in computer graphics, with a focus on rendering. I develop physically grounded and efficient techniques that balance realism and performance to produce faithful, immersive virtual environments.
Miscellany
- Will be on the job market for Research Scientist and related roles beginning Spring 2026. Please reach out if you have any opportunities!
