Aravindh Mahendran

According to our database, Aravindh Mahendran authored at least 26 papers between 2013 and 2024.

Collaborative distances:

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

2024

Scaling 4D Representations.

João Carreira, Dilara Gokay, Michael King, Chuhan Zhang, Ignacio Rocco, Aravindh Mahendran, Thomas Keck, Joseph Heyward, Skanda Koppula, Etienne Pot, Goker Erdogan, Yana Hasson, Yi Yang, Klaus Greff, Guillaume Le Moing, Sjoerd van Steenkiste, Daniel Zoran, Drew A. Hudson, Pedro Vélez, Luisa Polanía, Luke Friedman, Chris Duvarney, Ross Goroshin, Kelsey R. Allen, Jacob C. Walker, Rishabh Kabra, Eric Aboussouan, Jennifer Sun, Thomas Kipf, Carl Doersch, Viorica Patraucean, Dima Damen, Pauline Luc, Mehdi S. M. Sajjadi, Andrew Zisserman

CoRR, 2024

Token Cropr: Faster ViTs for Quite a Few Tasks.

Benjamin Bergner, Christoph Lippert, Aravindh Mahendran

CoRR, 2024

2023

Invariant Slot Attention: Object Discovery with Slot-Centric Reference Frames.

Ondrej Biza, Sjoerd van Steenkiste, Mehdi S. M. Sajjadi, Gamaleldin Fathy Elsayed, Aravindh Mahendran, Thomas Kipf

Proceedings of the International Conference on Machine Learning, 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

Iterative Patch Selection for High-Resolution Image Recognition.

Benjamin Bergner, Christoph Lippert, Aravindh Mahendran

Proceedings of the Eleventh International Conference on Learning Representations, 2023

RUST: Latent Neural Scene Representations from Unposed Imagery.

Mehdi S. M. Sajjadi, Aravindh Mahendran, Thomas Kipf, Etienne Pot, Daniel Duckworth, Mario Lucic, Klaus Greff

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Simple Open-Vocabulary Object Detection with Vision Transformers.

Matthias Minderer, Alexey A. Gritsenko, Austin Stone, Maxim Neumann, Dirk Weissenborn, Alexey Dosovitskiy, Aravindh Mahendran, Anurag Arnab, Mostafa Dehghani, Zhuoran Shen, Xiao Wang, Xiaohua Zhai, Thomas Kipf, Neil Houlsby

CoRR, 2022

Object Scene Representation Transformer.

Mehdi S. M. Sajjadi, Daniel Duckworth, Aravindh Mahendran, Sjoerd van Steenkiste, Filip Pavetic, Mario Lucic, Leonidas J. Guibas, Klaus Greff, Thomas Kipf

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

SAVi++: Towards End-to-End Object-Centric Learning from Real-World Videos.

Gamaleldin F. Elsayed, Aravindh Mahendran, Sjoerd van Steenkiste, Klaus Greff, Michael C. Mozer, Thomas Kipf

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Conditional Object-Centric Learning from Video.

Thomas Kipf, Gamaleldin Fathy Elsayed, Aravindh Mahendran, Austin Stone, Sara Sabour, Georg Heigold, Rico Jonschkowski, Alexey Dosovitskiy, Klaus Greff

Proceedings of the Tenth International Conference on Learning Representations, 2022

Simple Open-Vocabulary Object Detection.

Matthias Minderer, Alexey A. Gritsenko, Austin Stone, Maxim Neumann, Dirk Weissenborn, Alexey Dosovitskiy, Aravindh Mahendran, Anurag Arnab, Mostafa Dehghani, Zhuoran Shen, Xiao Wang, Xiaohua Zhai, Thomas Kipf, Neil Houlsby

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Representation learning from videos in-the-wild: An object-centric approach.

Rob Romijnders, Aravindh Mahendran, Michael Tschannen, Josip Djolonga, Marvin Ritter, Neil Houlsby, Mario Lucic

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Differentiable Patch Selection for Image Recognition.

Jean-Baptiste Cordonnier, Aravindh Mahendran, Alexey Dosovitskiy, Dirk Weissenborn, Jakob Uszkoreit, Thomas Unterthiner

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Object-Centric Learning with Slot Attention.

Francesco Locatello, Dirk Weissenborn, Thomas Unterthiner, Aravindh Mahendran, Georg Heigold, Jakob Uszkoreit, Alexey Dosovitskiy, Thomas Kipf

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Self-Supervised Learning of Video-Induced Visual Invariances.

Michael Tschannen, Josip Djolonga, Marvin Ritter, Aravindh Mahendran, Neil Houlsby, Sylvain Gelly, Mario Lucic

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018

Self-supervised learning using motion and visualizing convolutional neural networks.

Aravindh Mahendran

PhD thesis, 2018

Self-supervised Segmentation by Grouping Optical-Flow.

Aravindh Mahendran, James Thewlis, Andrea Vedaldi

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Cross Pixel Optical-Flow Similarity for Self-supervised Learning.

Aravindh Mahendran, James Thewlis, Andrea Vedaldi

Proceedings of the Computer Vision - ACCV 2018, 2018

2016

Visualizing Deep Convolutional Neural Networks Using Natural Pre-images.

Aravindh Mahendran, Andrea Vedaldi

Int. J. Comput. Vis., 2016

ResearchDoom and CocoDoom: Learning Computer Vision with Games.

Aravindh Mahendran, Hakan Bilen, João F. Henriques, Andrea Vedaldi

CoRR, 2016

Salient Deconvolutional Networks.

Aravindh Mahendran, Andrea Vedaldi

Proceedings of the Computer Vision - ECCV 2016, 2016

2015

Understanding deep image representations by inverting them.

Aravindh Mahendran, Andrea Vedaldi

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Exploiting domain constraints for exemplar based bus detection for traffic scheduling.

Aravindh Mahendran, Martial Hebert, Stephen F. Smith

Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

2013

Heterogeneous UGV-MAV exploration using integer programming.

Ayush Dewan, Aravindh Mahendran, Nikhil Soni, K. Madhava Krishna

Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

Optimization based coordinated UGV-MAV exploration for 2D augmented mapping.

Ayush Dewan, Aravindh Mahendran, Nikhil Soni, K. Madhava Krishna

Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013

UGV-MAV Collaboration for Augmented 2D Maps.

Aravindh Mahendran, Ayush Dewan, Nikhil Soni, K. Madhava Krishna

Proceedings of the Advances In Robotics 2013, 2013