Andreas Blattmann, Tim Dockhorn, Sumith Kulal, Daniel Mendelevitch, Maciej Kilian, Dominik Lorenz, Yam Levi, Zion English, Vikram Voleti, Adam Letts, Varun Jampani, Robin Rombach
Matt Deitke, Ruoshi Liu, Matthew Wallingford, Huong Ngo, Oscar Michel, Aditya Kusupati, Alan Fan, Christian Laforte, Vikram Voleti, Samir Yitzhak Gadre, Eli VanderBilt, Aniruddha Kembhavi, Carl Vondrick, Georgia Gkioxari, Kiana Ehsani, Ludwig Schmidt, Ali Farhadi
Jae Hyun Lim, Nikola B. Kovachki, Ricardo Baptista, Christopher Beckham, Kamyar Azizzadenesheli, Jean Kossaifi, Vikram Voleti, Jiaming Song, Karsten Kreis, Jan Kautz, Christopher Pal, Arash Vahdat, Anima Anandkumar
Vikram Voleti, Christopher Pal, Adam Oberman
Vikram Voleti, Boris N. Oreshkin, Florent Bocquelet, Félix G. Harvey, Louis-Simon Ménard, Christopher Pal
Tiago Salvador, Stephanie Cairns, Vikram Voleti, Noah Marshall, Adam Oberman
arXiv | poster | OpenReview
Mahta Ramezanian Panahi, Germán Abrevaya, Jean-Christophe Gagnon-Audet, Vikram Voleti, Irina Rish, Guillaume Dumas
Krishna Murthy Jatavallabhula, Miles Macklin, Florian Golemo, Vikram Voleti, Linda Petrini, Martin Weiss, Breandan Considine, Jérôme Parent-Lévesque, Kevin Xie, Kenny Erleben, Liam Paull, Florian Shkurti, Derek Nowrouzezahrai, Sanja Fidler
arXiv | website | OpenReview | pdf
Xavier Bouthillier, Pierre Delaunay, Mirko Bronzi, Assya Trofimov, Brennan Nichyporuk, Justin Szeto, Naz Sepah, Edward Raff, Kanika Madan, Vikram Voleti, Samira Ebrahimi Kahou, Vincent Michalski, Dmitriy Serdyuk, Tal Arbel, Chris Pal, Gaël Varoquaux, Pascal Vincent
Vikram Voleti, David Kanaa, Samira Kahou, Christopher Pal
NeurIPS 2019 Workshop on Learning with Rich Experience
Vincent Michalski, Vikram Voleti, Samira Kahou, Anthony Ortiz, Pascal Vincent, Christopher Pal, Doina Precup
ICML 2019 Workshop on Understanding and Improving Generalization in Deep Learning
- Video generation to morph lip movements of speakers to match new audio
Abhishek Jha, Vikram Voleti, Vinay P. Namboodiri, C. V. Jawahar
THESIS / REPORTS
- Image generation using Multi-Resolution Continuous Normalizing Flows
- Image generation using Non-Isotropic Denoising Diffusion Models
- 3D animation using neural inverse kinematics with 3D human pose prior
- Video prediction using Neural ODEs
- Video prediction, generation, interpolation using Masked Conditional Video Diffusion models </ul></p>
- Elimination of fence-like occlusions, inpainting of images using RGB-D data
- Nominated for Best M.Tech. Project Award among three departments (Electrical, Electronics, Computer Science)
- Research paper based on project work is published in the proceedings of ICAPR 2015 by IEEE
- Co-authored journal paper was submitted to the International Journal of Computer Vision (IJCV) (rejected)
- Measurement of synchronization between audio and video using bilabial cues in both modes
- Trained a Gaussian Mixture Model (GMM) in MATLAB with MFCCs extracted from audio
- Devised a C++ program to identify lip closures in video using OpenCV modules
- Designed and implemented addition, subtraction, multiplication in Product-of-Sums form using Carry-Free Logic
- Developed, tested and verified the modules in Verilog, simulated circuits in Xilinx, and compared with standard implementations
- Wrote research paper on the work done
- Implemented Hidden Markov Models (HMMs) in MATLAB, verified with standard implementations
- Created a MATLAB program that recognizes shapes drawn by fingertip using HMM
- Measured the relative power consumption among the LookUp Tables (LUTs) of an FPGA
- Designed and implemented an automated workflow for signal processing, and visualization of results
University of Montreal, Canada
arXiv | University of Montreal
</div> </div>
IIT Kharagpur
THESIS | Presentation | GitHub
IIT Kharagpur
THESIS | Presentation | GitHub
KU Leuven, Belgium
Report | Presentation | GitHub
IIT Kharagpur
Report | Presentation | GitHub
Imperial College, London