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ORCIDVighnesh Birodkar
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2020 – today
- 2024
[c8]Dan Kondratyuk, Lijun Yu, Xiuye Gu, José Lezama, Jonathan Huang, Grant Schindler, Rachel Hornung, Vighnesh Birodkar, Jimmy Yan, Ming-Chang Chiu, Krishna Somandepalli, Hassan Akbari, Yair Alon, Yong Cheng, Joshua V. Dillon, Agrim Gupta, Meera Hahn, Anja Hauth, David Hendon, Alonso Martinez, David Minnen, Mikhail Sirotenko, Kihyuk Sohn, Xuan Yang, Hartwig Adam, Ming-Hsuan Yang, Irfan Essa, Huisheng Wang, David A. Ross, Bryan Seybold, Lu Jiang:
VideoPoet: A Large Language Model for Zero-Shot Video Generation. ICML 2024- [i14]Vighnesh Birodkar, Gabriel Barcik, James Lyon, Sergey Ioffe, David Minnen, Joshua V. Dillon:
Sample what you cant compress. CoRR abs/2409.02529 (2024) - 2023
- [c7]Vighnesh Birodkar, Jonathan Huang, Meera Hahn, Irfan Essa, Nikolai Warner:
Text and Click inputs for unambiguous open vocabulary instance segmentation. BMVC 2023: 815-819 - [c6]Mostafa Dehghani, Josip Djolonga, Basil Mustafa, Piotr Padlewski, Jonathan Heek, Justin Gilmer, Andreas Peter Steiner, Mathilde Caron, Robert Geirhos, Ibrahim Alabdulmohsin, Rodolphe Jenatton, Lucas Beyer, Michael Tschannen, Anurag Arnab, Xiao Wang, Carlos Riquelme Ruiz, Matthias Minderer, Joan Puigcerver, Utku Evci, Manoj Kumar, Sjoerd van Steenkiste, Gamaleldin Fathy Elsayed, Aravindh Mahendran, Fisher Yu, Avital Oliver, Fantine Huot, Jasmijn Bastings, Mark Collier, Alexey A. Gritsenko, Vighnesh Birodkar, Cristina Nader Vasconcelos, Yi Tay, Thomas Mensink, Alexander Kolesnikov, Filip Pavetic, Dustin Tran, Thomas Kipf, Mario Lucic, Xiaohua Zhai, Daniel Keysers, Jeremiah J. Harmsen, Neil Houlsby:
Scaling Vision Transformers to 22 Billion Parameters. ICML 2023: 7480-7512 - [i13]Mostafa Dehghani, Josip Djolonga, Basil Mustafa, Piotr Padlewski, Jonathan Heek, Justin Gilmer, Andreas Steiner, Mathilde Caron, Robert Geirhos, Ibrahim Alabdulmohsin, Rodolphe Jenatton, Lucas Beyer, Michael Tschannen, Anurag Arnab, Xiao Wang
, Carlos Riquelme, Matthias Minderer, Joan Puigcerver, Utku Evci, Manoj Kumar, Sjoerd van Steenkiste, Gamaleldin F. Elsayed, Aravindh Mahendran, Fisher Yu, Avital Oliver, Fantine Huot, Jasmijn Bastings, Mark Patrick Collier, Alexey A. Gritsenko, Vighnesh Birodkar, Cristina Nader Vasconcelos, Yi Tay, Thomas Mensink, Alexander Kolesnikov, Filip Pavetic, Dustin Tran, Thomas Kipf, Mario Lucic, Xiaohua Zhai, Daniel Keysers, Jeremiah Harmsen, Neil Houlsby:
Scaling Vision Transformers to 22 Billion Parameters. CoRR abs/2302.05442 (2023) - [i12]Nikolai Warner, Meera Hahn, Jonathan Huang, Irfan Essa, Vighnesh Birodkar:
Text and Click inputs for unambiguous open vocabulary instance segmentation. CoRR abs/2311.14822 (2023) - [i11]Dan Kondratyuk, Lijun Yu, Xiuye Gu, José Lezama, Jonathan Huang, Rachel Hornung, Hartwig Adam, Hassan Akbari, Yair Alon, Vighnesh Birodkar, Yong Cheng, Ming-Chang Chiu, Joshua V. Dillon, Irfan Essa, Agrim Gupta, Meera Hahn, Anja Hauth, David Hendon, Alonso Martinez, David Minnen, David A. Ross, Grant Schindler, Mikhail Sirotenko, Kihyuk Sohn, Krishna Somandepalli, Huisheng Wang, Jimmy Yan, Ming-Hsuan Yang, Xuan Yang, Bryan Seybold, Lu Jiang:
VideoPoet: A Large Language Model for Zero-Shot Video Generation. CoRR abs/2312.14125 (2023) - 2022
- [c5]Cristina Nader Vasconcelos, Vighnesh Birodkar, Vincent Dumoulin:
Proper Reuse of Image Classification Features Improves Object Detection. CVPR 2022: 13618-13627 - [c4]Su Wang, Ceslee Montgomery, Jordi Orbay, Vighnesh Birodkar, Aleksandra Faust, Izzeddin Gur, Natasha Jaques, Austin Waters, Jason Baldridge, Peter Anderson:
Less is More: Generating Grounded Navigation Instructions from Landmarks. CVPR 2022: 15407-15417 - [i10]Cristina Nader Vasconcelos, Vighnesh Birodkar, Vincent Dumoulin:
Proper Reuse of Image Classification Features Improves Object Detection. CoRR abs/2204.00484 (2022) - [i9]Vivek Rathod, Bryan Seybold, Sudheendra Vijayanarasimhan, Austin Myers, Xiuye Gu, Vighnesh Birodkar, David A. Ross:
Open-Vocabulary Temporal Action Detection with Off-the-Shelf Image-Text Features. CoRR abs/2212.10596 (2022) - 2021
- [c3]Vighnesh Birodkar, Zhichao Lu, Siyang Li, Vivek Rathod, Jonathan Huang:
The surprising impact of mask-head architecture on novel class segmentation. ICCV 2021: 6995-7005 - [i8]Vighnesh Birodkar, Zhichao Lu, Siyang Li, Vivek Rathod, Jonathan Huang:
The surprising impact of mask-head architecture on novel class segmentation. CoRR abs/2104.00613 (2021) - [i7]Sara Beery, Arushi Agarwal, Elijah Cole, Vighnesh Birodkar:
The iWildCam 2021 Competition Dataset. CoRR abs/2105.03494 (2021) - [i6]Su Wang, Ceslee Montgomery, Jordi Orbay, Vighnesh Birodkar, Aleksandra Faust, Izzeddin Gur, Natasha Jaques, Austin Waters, Jason Baldridge, Peter Anderson:
Less is More: Generating Grounded Navigation Instructions from Landmarks. CoRR abs/2111.12872 (2021)
2010 – 2019
- 2019
- [c2]Fausto Milletari, Vighnesh Birodkar, Michal Sofka:
Straight to the Point: Reinforcement Learning for User Guidance in Ultrasound. SUSI/PIPPI@MICCAI 2019: 3-10 - [i5]Vighnesh Birodkar, Hossein Mobahi, Samy Bengio:
Semantic Redundancies in Image-Classification Datasets: The 10% You Don't Need. CoRR abs/1901.11409 (2019) - [i4]Fausto Milletari, Vighnesh Birodkar, Michal Sofka:
Straight to the point: reinforcement learning for user guidance in ultrasound. CoRR abs/1903.00586 (2019) - [i3]Vighnesh Birodkar, Hossein Mobahi, Dilip Krishnan, Samy Bengio:
A Closed-Form Learned Pooling for Deep Classification Networks. CoRR abs/1906.03808 (2019) - 2017
- [j1]Marcelo Cicconet, Vighnesh Birodkar, Mads Lund, Michael Werman, Davi Geiger:
A convolutional approach to reflection symmetry. Pattern Recognit. Lett. 95: 44-50 (2017) - [c1]Emily L. Denton, Vighnesh Birodkar:
Unsupervised Learning of Disentangled Representations from Video. NIPS 2017: 4414-4423 - [i2]Emily Denton, Vighnesh Birodkar:
Unsupervised Learning of Disentangled Representations from Video. CoRR abs/1705.10915 (2017) - 2016
- [i1]Marcelo Cicconet, Vighnesh Birodkar, Mads Lund, Michael Werman, Davi Geiger:
A convolutional approach to reflection symmetry. CoRR abs/1609.05257 (2016)
Coauthor Index
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last updated on 2024-10-07 02:24 CEST by the dblp team
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