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ORCIDVikram Voleti
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2020 – today
- 2024
[j2]Vikram Voleti, Chris Finlay, Adam Oberman, Christopher Pal:
Multi-resolution continuous normalizing flows. Ann. Math. Artif. Intell. 92(5): 1295-1317 (2024)- [c11]Vikram Voleti, Chun-Han Yao, Mark Boss, Adam Letts, David Pankratz, Dmitry Tochilkin, Christian Laforte, Robin Rombach, Varun Jampani:
SV3D: Novel Multi-view Synthesis and 3D Generation from a Single Image Using Latent Video Diffusion. ECCV (1) 2024: 439-457 - [i22]Vikram Voleti, Chun-Han Yao, Mark Boss, Adam Letts, David Pankratz, Dmitry Tochilkin, Christian Laforte, Robin Rombach, Varun Jampani:
SV3D: Novel Multi-view Synthesis and 3D Generation from a Single Image using Latent Video Diffusion. CoRR abs/2403.12008 (2024) - [i21]Hieu T. Nguyen, Yiwen Chen, Vikram Voleti, Varun Jampani, Huaizu Jiang
:
HouseCrafter: Lifting Floorplans to 3D Scenes with 2D Diffusion Model. CoRR abs/2406.20077 (2024) - [i20]Yiming Xie, Chun-Han Yao, Vikram Voleti, Huaizu Jiang, Varun Jampani:
SV4D: Dynamic 3D Content Generation with Multi-Frame and Multi-View Consistency. CoRR abs/2407.17470 (2024) - 2023
- [c10]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:
Objaverse-XL: A Universe of 10M+ 3D Objects. NeurIPS 2023 - [c9]Benno Krojer, Elinor Poole-Dayan, Vikram Voleti, Chris Pal, Siva Reddy:
Are Diffusion Models Vision-And-Language Reasoners? NeurIPS 2023 - [i19]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:
Score-based Diffusion Models in Function Space. CoRR abs/2302.07400 (2023) - [i18]Benno Krojer, Elinor Poole-Dayan, Vikram Voleti, Christopher Pal, Siva Reddy:
Are Diffusion Models Vision-And-Language Reasoners? CoRR abs/2305.16397 (2023) - [i17]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:
Objaverse-XL: A Universe of 10M+ 3D Objects. CoRR abs/2307.05663 (2023) - [i16]Vikram Voleti:
Conditional Generative Modeling for Images, 3D Animations, and Video. CoRR abs/2310.13157 (2023) - [i15]Andreas Blattmann, Tim Dockhorn, Sumith Kulal, Daniel Mendelevitch, Maciej Kilian, Dominik Lorenz, Yam Levi, Zion English, Vikram Voleti, Adam Letts, Varun Jampani, Robin Rombach:
Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets. CoRR abs/2311.15127 (2023) - 2022
- [j1]Mahta Ramezanian-Panahi, Germán Abrevaya, Jean-Christophe Gagnon-Audet, Vikram Voleti, Irina Rish, Guillaume Dumas:
Generative Models of Brain Dynamics. Frontiers Artif. Intell. 5 (2022) - [c8]Tiago Salvador, Stephanie Cairns, Vikram Voleti, Noah Marshall, Adam M. Oberman:
FairCal: Fairness Calibration for Face Verification. ICLR 2022 - [c7]Vikram Voleti, Alexia Jolicoeur-Martineau, Chris Pal:
MCVD - Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation. NeurIPS 2022 - [c6]Vikram Voleti, Boris N. Oreshkin, Florent Bocquelet, Félix G. Harvey, Louis-Simon Ménard, Christopher Pal:
SMPL-IK: Learned Morphology-Aware Inverse Kinematics for AI Driven Artistic Workflows. SIGGRAPH Asia Technical Communications 2022: 1:1-1:7 - [i14]Vikram Voleti, Alexia Jolicoeur-Martineau, Christopher Pal:
MCVD: Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation. CoRR abs/2205.09853 (2022) - [i13]Nitpreet Bamra, Vikram Voleti, Alexander Wong, Jason Deglint:
Towards Generating Large Synthetic Phytoplankton Datasets for Efficient Monitoring of Harmful Algal Blooms. CoRR abs/2208.02332 (2022) - [i12]Vikram Voleti, Boris N. Oreshkin, Florent Bocquelet, Félix G. Harvey, Louis-Simon Ménard, Christopher Pal:
SMPL-IK: Learned Morphology-Aware Inverse Kinematics for AI Driven Artistic Workflows. CoRR abs/2208.08274 (2022) - [i11]Vikram Voleti, Christopher Pal, Adam M. Oberman:
Score-based Denoising Diffusion with Non-Isotropic Gaussian Noise Models. CoRR abs/2210.12254 (2022) - [i10]Daniel Zhang, Vikram Voleti, Alexander Wong, Jason Deglint:
Plankton-FL: Exploration of Federated Learning for Privacy-Preserving Training of Deep Neural Networks for Phytoplankton Classification. CoRR abs/2212.08990 (2022) - 2021
- [c5]J. Krishna Murthy, 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:
gradSim: Differentiable simulation for system identification and visuomotor control. ICLR 2021 - [c4]Xavier Bouthillier, Pierre Delaunay, Mirko Bronzi, Assya Trofimov, Brennan Nichyporuk, Justin Szeto, Nazanin Mohammadi Sepahvand, Edward Raff, Kanika Madan, Vikram Voleti, Samira Ebrahimi Kahou, Vincent Michalski, Tal Arbel, Chris Pal, Gaël Varoquaux, Pascal Vincent:
Accounting for Variance in Machine Learning Benchmarks. MLSys 2021 - [i9]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:
Accounting for Variance in Machine Learning Benchmarks. CoRR abs/2103.03098 (2021) - [i8]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:
gradSim: Differentiable simulation for system identification and visuomotor control. CoRR abs/2104.02646 (2021) - [i7]Tiago Salvador, Stephanie Cairns, Vikram Voleti, Noah Marshall, Adam M. Oberman:
Bias Mitigation of Face Recognition Models Through Calibration. CoRR abs/2106.03761 (2021) - [i6]Tiago Salvador, Vikram Voleti, Alexander Iannantuono, Adam M. Oberman:
Improved Predictive Uncertainty using Corruption-based Calibration. CoRR abs/2106.03762 (2021) - [i5]Vikram Voleti, Chris Finlay, Adam M. Oberman, Christopher J. Pal:
Multi-Resolution Continuous Normalizing Flows. CoRR abs/2106.08462 (2021) - [i4]Ju An Park, Vikram Voleti, Kathryn E. Thomas, Alexander Wong, Jason L. Deglint:
SALT: Sea lice Adaptive Lattice Tracking - An Unsupervised Approach to Generate an Improved Ocean Model. CoRR abs/2106.13202 (2021) - [i3]David Kanaa, Vikram Voleti, Samira Ebrahimi Kahou, Christopher Pal:
Simple Video Generation using Neural ODEs. CoRR abs/2109.03292 (2021) - 2020
- [c3]Sarthak Mittal, Alex Lamb, Anirudh Goyal, Vikram Voleti, Murray Shanahan, Guillaume Lajoie, Michael Mozer, Yoshua Bengio:
Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules. ICML 2020: 6972-6986 - [i2]Sarthak Mittal, Alex Lamb, Anirudh Goyal, Vikram Voleti, Murray Shanahan, Guillaume Lajoie, Michael Mozer, Yoshua Bengio:
Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules. CoRR abs/2006.16981 (2020)
2010 – 2019
- 2019
- [c2]Abhishek Jha, Vikram Voleti, Vinay P. Namboodiri, C. V. Jawahar:
Cross-language Speech Dependent Lip-synchronization. ICASSP 2019: 7140-7144 - [i1]Vincent Michalski, Vikram Voleti, Samira Ebrahimi Kahou, Anthony Ortiz, Pascal Vincent, Chris Pal, Doina Precup:
An Empirical Study of Batch Normalization and Group Normalization in Conditional Computation. CoRR abs/1908.00061 (2019) - 2015
- [c1]Sankaraganesh Jonna, Vikram S. Voleti, Rajiv R. Sahay, Mohan S. Kankanhalli:
A multimodal approach for image de-fencing and depth inpainting. ICAPR 2015: 1-6
Coauthor Index
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