Vighnesh Birodkar

According to our database, Vighnesh Birodkar authored at least 14 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Sample what you cant compress.

Vighnesh Birodkar, Gabriel Barcik, James Lyon, Sergey Ioffe, David Minnen, Joshua V. Dillon

CoRR, 2024

VideoPoet: A Large Language Model for Zero-Shot Video Generation.

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Scaling Vision Transformers to 22 Billion Parameters.

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

Proceedings of the International Conference on Machine Learning, 2023

Text and Click inputs for unambiguous open vocabulary instance segmentation.

Vighnesh Birodkar, Jonathan Huang, Meera Hahn, Irfan Essa, Nikolai Warner

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

Open-Vocabulary Temporal Action Detection with Off-the-Shelf Image-Text Features.

Vivek Rathod, Bryan Seybold, Sudheendra Vijayanarasimhan, Austin Myers, Xiuye Gu, Vighnesh Birodkar, David A. Ross

CoRR, 2022

Proper Reuse of Image Classification Features Improves Object Detection.

Cristina Nader Vasconcelos, Vighnesh Birodkar, Vincent Dumoulin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Less is More: Generating Grounded Navigation Instructions from Landmarks.

Su Wang, Ceslee Montgomery, Jordi Orbay, Vighnesh Birodkar, Aleksandra Faust, Izzeddin Gur, Natasha Jaques, Austin Waters, Jason Baldridge, Peter Anderson

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

The iWildCam 2021 Competition Dataset.

Sara Beery, Arushi Agarwal, Elijah Cole, Vighnesh Birodkar

CoRR, 2021

The surprising impact of mask-head architecture on novel class segmentation.

Vighnesh Birodkar, Zhichao Lu, Siyang Li, Vivek Rathod, Jonathan Huang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2019

A Closed-Form Learned Pooling for Deep Classification Networks.

Vighnesh Birodkar, Hossein Mobahi, Dilip Krishnan, Samy Bengio

CoRR, 2019

Semantic Redundancies in Image-Classification Datasets: The 10% You Don't Need.

Vighnesh Birodkar, Hossein Mobahi, Samy Bengio

CoRR, 2019

Straight to the Point: Reinforcement Learning for User Guidance in Ultrasound.

Fausto Milletari, Vighnesh Birodkar, Michal Sofka

Proceedings of the Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis, 2019

2017

A convolutional approach to reflection symmetry.

Marcelo Cicconet, Vighnesh Birodkar, Mads Lund, Michael Werman, Davi Geiger

Pattern Recognit. Lett., 2017

Unsupervised Learning of Disentangled Representations from Video.

Emily L. Denton, Vighnesh Birodkar

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017