Adithya Pediredla

I serve as an Assistant Professor in the Computer Science Department at Dartmouth College, where I founded the Rendering and Imaging Science (RISC) lab, focusing on the intersection of computer graphics, computational imaging, and computer vision. Before this role, I engaged in postdoctoral research at the Robotics Institute, Carnegie Mellon University. My educational background encompasses a Ph.D. from Rice University's Department of Electrical and Computer Engineering, distinguished by the Ralph Budd Best Engineering Thesis Award. I earned my Master's degree from the Indian Institute of Science, receiving the Prof. K. R. Kambati Memorial gold medal and an innovative student project award from the Indian National Academy of Engineering. My undergraduate studies were at the National Institute of Technology, Warangal, India, where I was honored with the Institute and N. Ramarao Memorial gold medals for academic excellence.



email | google scholar | github

Research interests: My research interests are mostly centered around computational imaging. Computational imaging systems co-design the imaging and image processing pipelines to either acquire novel features of the scene, decrease the cost of the imaging system, or increase the robustness of the imaging system. In particular, I am interested in adaptive sensing, depth imaging, computational microscopy, imaging non-line-of-sight scenes, imaging under the skin and other scattering media, building physically-based and unbiased rendering techniques, inverse rendering techniques for computational imaging systems.

Our upcoming cvpr 2023 tutorial: Physics-based rendering and its applications in computational photography and imaging 

Publications

Megahertz Light Steering without Moving Parts
Adithya Pediredla, Maysam Chamanzar, Srinivasa Narasimhan, Ioannis Gkioulekas
CVPR, 2023
paper | project page 

Neural Volumetric Reconstruction for Coherent Synthetic Aperture Sonar
Albert Reed, Juhyeon Kim, Thomas Blanford, Adithya Pediredla, Daniel C Brown, Suren Jayasuriya
Siggraph, 2023 (to appear)
paper | project page 

Adaptive Gating for Single-Photon 3D Imaging
Ryan Po, Adithya Pediredla, Ioannis Gkioulekas
CVPR, 2022
paper | project page | code


Optimized Virtual Optical Waveguides Enhance Light Throughput in Scattering Media
Adithya Pediredla, Matteo Giuseppe Scopelliti, Srinivasa Narasimhan, Maysam Chamanzar, Ioannis Gkioulekas
Under review, 2021
paper | code

Overcoming the Tradeoff Between Confinement and Focal Distance Using Virtual Ultrasonic Optical Waveguides
Matteo Giuseppe Scopelliti, Hengji Huang, Adithya Pediredla, Srinivasa Narasimhan, Ioannis Gkioulekas, Maysam Chamanzar
Optics Express, 2020
paper

Path Tracing Estimators for Refractive Radiative Transfer
Adithya Pediredla, Yasin Karimi Chalmiani, Matteo Giuseppe Scopelliti, Maysam Chamanzar, Srinivasa Narasimhan, Ioannis Gkioulekas
ACM Transactions on Graphics (SIGGRAPH Asia), 2020
paper | project page | code


Ellipsoidal Path Connections for Time-gated Rendering
Adithya Pediredla, Ashok Veeraraghavan, Ioannis Gkioulekas
ACM Transactions on Graphics (SIGGRAPH), 2019
paper | project page | code


SNLOS: Non-line-of-sight scanning through temporal focusing
Adithya Pediredla, Akshat Dave, Ashok Veeraraghavan
International Conference on Computational Photography (ICCP), 2019
paper 


STORM: Super-resolving Transients by OveRsampled Measurements
Ankit Raghuram, Adithya Pediredla, Srinivasa Narasimhan, Ioannis Gkioulekas, Ashok Veeraraghavan
International Conference on Computational Photography (ICCP), 2019
paper


CS-ToF: High-resolution compressive time-of-flight imaging
Fengqiang Li, Huaijin Chen, Adithya Pediredla, Chiakai Yeh, Kuan He, Ashok Veeraraghavan, Oliver Cossairt
Optics Express, 2017
paper


Reconstructing Rooms Using Photon Echoes: A Plane based model and reconstruction algorithm for looking around the corner
Adithya Pediredla, Mauro Buttafava, Alberto Tosi, Oliver Cossairt, Ashok Veeraraghavan
International Conference on Computational Photography (ICCP), 2017
paper


Deep imaging in scattering media with selective plane illumination microscopy
Adithya Pediredla, Shizheng Zhang, Ben Avants, Fan Ye, Shin Nagayama, Ziying Chen, Caleb Kemere, Jacob T. Robinson, Ashok Veeraraghavan
Journal of Biomedical Optics (JBO), 2016
paper


Absorption-Induced Image Resolution Enhancement in Scattering Media
Mehbuba Tanzid, Nathaniel J. Hogan, Ali Sobhani, Hossein Robatjazi, Adithya Pediredla, Adam Samaniego, Ashok Veeraraghavan,  Naomi J. Halas
ACM Photonics, 2016
paper


Focal-sweep for large aperture time-of-flight cameras
Sagar Honnungar, Jason Holloway, Adithya Pediredla, Ashok Veeraraghavan,  Kaushik Mitra
International Conference on Image Processing (ICIP), 2016
paper


Spatial phase-sweep: Increasing temporal resolution of transient imaging using a light source array
Ryuichi Tadano, Adithya Pediredla,  Kaushik Mitra, Ashok Veeraraghavan
International Conference on Image Processing (ICIP), 2016
paper


Depth Fields: Extending Light Field Techniques to Time-of-Flight Imaging
Suren Jayasuriya, Adithya Pediredla, Sriram Sivaramakrishnan, Alyosha Molnar, Ashok Veeraraghavan
International Conference on 3D Vision (3DV), 2015
paper


Depth selective camera: A direct, on-chip, programmable technique for depth selectivity in photography
Ryuichi Tadano, Adithya Pediredla, Ashok Veeraraghavan
International Conference on Computer Vision (ICCV), 2015
paper


A unified approach for optimization of snakuscules and ovuscules
Adithya Pediredla and Chandra  Sekhar Seelamantula
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012
paper


Patents