Ashish Tiwari
| Grant Category: | Fulbright-Nehru Doctoral Research Fellowships |
| Project Title: | Neural Inverse Rendering of Large-Scale Indoor and Outdoor Scenes from Sparse Multi-View Images |
| Field of Study: | Computer Science |
| Home Institution: | IIT, Gandhinagar, Gujarat |
| Host Institution: | Rice University , Houston, TX |
| Grant Start Month: | August 2024 |
| Duration of Grant: | Nine months |
Brief Bio:
Ashish Tiwari is currently a Ph.D. candidate in electrical engineering at IIT Gandhinagar. He obtained his MTech in electrical engineering from IIT Gandhinagar in 2020. He is the recipient of the Prime Minister’s Research Fellowship (PMRF) 2020-2024. His research interest lies at the intersection of computer vision, computer graphics, and deep learning with a primary focus on inferring the 3D world from image(s) through photometric methods such as photometric stereo, Shape from Polarization (SfP), and photo-polarimetric stereo. He was awarded the Qualcomm Innovation Fellowship (QIF) 2023-2024 for his project proposal, “Photometric Stereo for Refractive Objects.” He was a part of the core organizing team of ICVGIP 2022, held at IIT Gandhinagar. He was also a part of the Google Research Week 2023.
As a Fulbright-Nehru Doctoral Research fellow at Rice University, Houston, TX, Ashish is investigating a scene’s geometry, material, and lighting through a sparse set of images captured through hand-held acquisition devices such as smartphones. Ashish enjoys teaching and has delivered plenty of invited talks on his research on photometric stereo. He likes singing, sketching, playing outdoor sports, especially cricket, and long-hour endurance runs. He also enjoys interacting with people from different regions and cultures and involves himself in community services.