Aravindh Mahendran

42 papers A* 12A 3Journal 20Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Perception Test 2025: Challenge Summary and a Unified VQA Extension.
CoRR
Joseph Heyward, Nikhil Pathasarathy, Tyler Zhu, Aravindh Mahendran, João Carreira, Dima Damen, Andrew Zisserman, Viorica Patraucean
2025 A* conf
Token Cropr: Faster ViTs for Quite a Few Tasks.
CVPR
Benjamin Bergner, Christoph Lippert, Aravindh Mahendran
2024 J jnl
Scaling 4D Representations.
CoRR
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 F. Polanía, Luke Friedman, Chris Duvarney, Ross Goroshin, Kelsey R. Allen, Jacob C. Walker, Rishabh Kabra, Eric Aboussouan, Jennifer J. Sun, Thomas Kipf, Carl Doersch, Viorica Patraucean, Dima Damen, Pauline Luc, Mehdi S. M. Sajjadi, Andrew Zisserman
2024 J jnl
Token Cropr: Faster ViTs for Quite a Few Tasks.
CoRR
Benjamin Bergner, Christoph Lippert, Aravindh Mahendran
2023 A* conf
Invariant Slot Attention: Object Discovery with Slot-Centric Reference Frames.
ICML
Ondrej Biza, Sjoerd van Steenkiste, Mehdi S. M. Sajjadi, Gamaleldin Fathy Elsayed, Aravindh Mahendran, Thomas Kipf
2023 J jnl
Invariant Slot Attention: Object Discovery with Slot-Centric Reference Frames.
CoRR
Ondrej Biza, Sjoerd van Steenkiste, Mehdi S. M. Sajjadi, Gamaleldin F. Elsayed, Aravindh Mahendran, Thomas Kipf
2023 A* conf
Iterative Patch Selection for High-Resolution Image Recognition.
ICLR
Benjamin Bergner, Christoph Lippert, Aravindh Mahendran
2023 A* conf
RUST: Latent Neural Scene Representations from Unposed Imagery.
CVPR
Mehdi S. M. Sajjadi, Aravindh Mahendran, Thomas Kipf, Etienne Pot, Daniel Duckworth, Mario Lucic, Klaus Greff
2023 A* conf
Scaling Vision Transformers to 22 Billion Parameters.
ICML
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
2023 J jnl
Scaling Vision Transformers to 22 Billion Parameters.
CoRR
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
2022 A* conf
Conditional Object-Centric Learning from Video.
ICLR
Thomas Kipf, Gamaleldin Fathy Elsayed, Aravindh Mahendran, Austin Stone, Sara Sabour, Georg Heigold, Rico Jonschkowski, Alexey Dosovitskiy, Klaus Greff
2022 J jnl
Iterative Patch Selection for High-Resolution Image Recognition.
CoRR
Benjamin Bergner, Christoph Lippert, Aravindh Mahendran
2022 A* conf
Object Scene Representation Transformer.
NeurIPS
Mehdi S. M. Sajjadi, Daniel Duckworth, Aravindh Mahendran, Sjoerd van Steenkiste, Filip Pavetic, Mario Lucic, Leonidas J. Guibas, Klaus Greff, Thomas Kipf
2022 J jnl
Object Scene Representation Transformer.
CoRR
Mehdi S. M. Sajjadi, Daniel Duckworth, Aravindh Mahendran, Sjoerd van Steenkiste, Filip Pavetic, Mario Lucic, Leonidas J. Guibas, Klaus Greff, Thomas Kipf
2022 J jnl
RUST: Latent Neural Scene Representations from Unposed Imagery.
CoRR
Mehdi S. M. Sajjadi, Aravindh Mahendran, Thomas Kipf, Etienne Pot, Daniel Duckworth, Mario Lucic, Klaus Greff
2022 A* conf
SAVi++: Towards End-to-End Object-Centric Learning from Real-World Videos.
NeurIPS
Gamaleldin F. Elsayed, Aravindh Mahendran, Sjoerd van Steenkiste, Klaus Greff, Michael C. Mozer, Thomas Kipf
2022 J jnl
SAVi++: Towards End-to-End Object-Centric Learning from Real-World Videos.
CoRR
Gamaleldin F. Elsayed, Aravindh Mahendran, Sjoerd van Steenkiste, Klaus Greff, Michael C. Mozer, Thomas Kipf
2022 J jnl
Simple Open-Vocabulary Object Detection with Vision Transformers.
CoRR
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
2022 — conf
Simple Open-Vocabulary Object Detection.
ECCV (10)
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
2021 J jnl
Conditional Object-Centric Learning from Video.
CoRR
Thomas Kipf, Gamaleldin F. Elsayed, Aravindh Mahendran, Austin Stone, Sara Sabour, Georg Heigold, Rico Jonschkowski, Alexey Dosovitskiy, Klaus Greff
2021 A* conf
Differentiable Patch Selection for Image Recognition.
CVPR
Jean-Baptiste Cordonnier, Aravindh Mahendran, Alexey Dosovitskiy, Dirk Weissenborn, Jakob Uszkoreit, Thomas Unterthiner
2021 J jnl
Differentiable Patch Selection for Image Recognition.
CoRR
Jean-Baptiste Cordonnier, Aravindh Mahendran, Alexey Dosovitskiy, Dirk Weissenborn, Jakob Uszkoreit, Thomas Unterthiner
2021 A conf
Representation learning from videos in-the-wild: An object-centric approach.
WACV
Rob Romijnders, Aravindh Mahendran, Michael Tschannen, Josip Djolonga, Marvin Ritter, Neil Houlsby, Mario Lucic
2020 A* conf
Object-Centric Learning with Slot Attention.
NeurIPS
Francesco Locatello, Dirk Weissenborn, Thomas Unterthiner, Aravindh Mahendran, Georg Heigold, Jakob Uszkoreit, Alexey Dosovitskiy, Thomas Kipf
2020 J jnl
Object-Centric Learning with Slot Attention.
CoRR
Francesco Locatello, Dirk Weissenborn, Thomas Unterthiner, Aravindh Mahendran, Georg Heigold, Jakob Uszkoreit, Alexey Dosovitskiy, Thomas Kipf
2020 J jnl
Representation learning from videos in-the-wild: An object-centric approach.
CoRR
Rob Romijnders, Aravindh Mahendran, Michael Tschannen, Josip Djolonga, Marvin Ritter, Neil Houlsby, Mario Lucic
2020 A* conf
Self-Supervised Learning of Video-Induced Visual Invariances.
CVPR
Michael Tschannen, Josip Djolonga, Marvin Ritter, Aravindh Mahendran, Neil Houlsby, Sylvain Gelly, Mario Lucic
2019 J jnl
Self-Supervised Learning of Video-Induced Visual Invariances.
CoRR
Michael Tschannen, Josip Djolonga, Marvin Ritter, Aravindh Mahendran, Neil Houlsby, Sylvain Gelly, Mario Lucic
2018 J jnl
Cross Pixel Optical Flow Similarity for Self-Supervised Learning.
CoRR
Aravindh Mahendran, James Thewlis, Andrea Vedaldi
2018 — conf
Cross Pixel Optical-Flow Similarity for Self-supervised Learning.
ACCV (5)
Aravindh Mahendran, James Thewlis, Andrea Vedaldi
2018 — conf
Self-supervised Segmentation by Grouping Optical-Flow.
ECCV Workshops (5)
Aravindh Mahendran, James Thewlis, Andrea Vedaldi
2018 — —
Self-supervised learning using motion and visualizing convolutional neural networks.
Aravindh Mahendran
2016 J jnl
ResearchDoom and CocoDoom: Learning Computer Vision with Games.
CoRR
Aravindh Mahendran, Hakan Bilen, João F. Henriques, Andrea Vedaldi
2016 — conf
Salient Deconvolutional Networks.
ECCV (6)
Aravindh Mahendran, Andrea Vedaldi
2016 J jnl
Visualizing Deep Convolutional Neural Networks Using Natural Pre-images.
Int. J. Comput. Vis.
Aravindh Mahendran, Andrea Vedaldi
2015 A* conf
Understanding deep image representations by inverting them.
CVPR
Aravindh Mahendran, Andrea Vedaldi
2015 J jnl
Visualizing Deep Convolutional Neural Networks Using Natural Pre-Images.
CoRR
Aravindh Mahendran, Andrea Vedaldi
2014 — conf
Exploiting domain constraints for exemplar based bus detection for traffic scheduling.
ITSC
Aravindh Mahendran, Martial Hebert, Stephen F. Smith
2014 J jnl
Understanding Deep Image Representations by Inverting Them.
CoRR
Aravindh Mahendran, Andrea Vedaldi
2013 A conf
Heterogeneous UGV-MAV exploration using integer programming.
IROS
Ayush Dewan, Aravindh Mahendran, Nikhil Soni, K. Madhava Krishna
2013 A conf
Optimization based coordinated UGV-MAV exploration for 2D augmented mapping.
AAMAS
Ayush Dewan, Aravindh Mahendran, Nikhil Soni, K. Madhava Krishna
2013 — conf
UGV-MAV Collaboration for Augmented 2D Maps.
AIR
Aravindh Mahendran, Ayush Dewan, Nikhil Soni, K. Madhava Krishna