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ORCIDAravindh Mahendran
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2020 – today
- 2023
[c20]Mehdi S. M. Sajjadi, Aravindh Mahendran, Thomas Kipf, Etienne Pot, Daniel Duckworth, Mario Lucic, Klaus Greff:
RUST: Latent Neural Scene Representations from Unposed Imagery. CVPR 2023: 17297-17306- [c19]Benjamin Bergner, Christoph Lippert, Aravindh Mahendran:
Iterative Patch Selection for High-Resolution Image Recognition. ICLR 2023 - [c18]Ondrej Biza, Sjoerd van Steenkiste, Mehdi S. M. Sajjadi, Gamaleldin Fathy Elsayed, Aravindh Mahendran, Thomas Kipf:
Invariant Slot Attention: Object Discovery with Slot-Centric Reference Frames. ICML 2023: 2507-2527 - [c17]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 - [i16]Ondrej Biza, Sjoerd van Steenkiste, Mehdi S. M. Sajjadi, Gamaleldin F. Elsayed, Aravindh Mahendran, Thomas Kipf:
Invariant Slot Attention: Object Discovery with Slot-Centric Reference Frames. CoRR abs/2302.04973 (2023) - [i15]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) - 2022
- [c16]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:
Simple Open-Vocabulary Object Detection. ECCV (10) 2022: 728-755 - [c15]Thomas Kipf, Gamaleldin Fathy Elsayed, Aravindh Mahendran, Austin Stone, Sara Sabour, Georg Heigold, Rico Jonschkowski, Alexey Dosovitskiy, Klaus Greff:
Conditional Object-Centric Learning from Video. ICLR 2022 - [c14]Gamaleldin F. Elsayed, Aravindh Mahendran, Sjoerd van Steenkiste, Klaus Greff, Michael C. Mozer, Thomas Kipf:
SAVi++: Towards End-to-End Object-Centric Learning from Real-World Videos. NeurIPS 2022 - [c13]Mehdi S. M. Sajjadi, Daniel Duckworth, Aravindh Mahendran, Sjoerd van Steenkiste, Filip Pavetic, Mario Lucic, Leonidas J. Guibas, Klaus Greff, Thomas Kipf:
Object Scene Representation Transformer. NeurIPS 2022 - [i14]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:
Simple Open-Vocabulary Object Detection with Vision Transformers. CoRR abs/2205.06230 (2022) - [i13]Mehdi S. M. Sajjadi, Daniel Duckworth, Aravindh Mahendran, Sjoerd van Steenkiste, Filip Pavetic, Mario Lucic, Leonidas J. Guibas, Klaus Greff, Thomas Kipf:
Object Scene Representation Transformer. CoRR abs/2206.06922 (2022) - [i12]Gamaleldin F. Elsayed, Aravindh Mahendran, Sjoerd van Steenkiste, Klaus Greff, Michael C. Mozer, Thomas Kipf:
SAVi++: Towards End-to-End Object-Centric Learning from Real-World Videos. CoRR abs/2206.07764 (2022) - [i11]Benjamin Bergner, Christoph Lippert, Aravindh Mahendran:
Iterative Patch Selection for High-Resolution Image Recognition. CoRR abs/2210.13007 (2022) - [i10]Mehdi S. M. Sajjadi, Aravindh Mahendran, Thomas Kipf, Etienne Pot, Daniel Duckworth, Mario Lucic, Klaus Greff:
RUST: Latent Neural Scene Representations from Unposed Imagery. CoRR abs/2211.14306 (2022) - 2021
- [c12]Jean-Baptiste Cordonnier, Aravindh Mahendran, Alexey Dosovitskiy, Dirk Weissenborn, Jakob Uszkoreit, Thomas Unterthiner:
Differentiable Patch Selection for Image Recognition. CVPR 2021: 2351-2360 - [c11]Rob Romijnders, Aravindh Mahendran, Michael Tschannen, Josip Djolonga, Marvin Ritter, Neil Houlsby, Mario Lucic:
Representation learning from videos in-the-wild: An object-centric approach. WACV 2021: 177-187 - [i9]Jean-Baptiste Cordonnier, Aravindh Mahendran, Alexey Dosovitskiy, Dirk Weissenborn, Jakob Uszkoreit, Thomas Unterthiner:
Differentiable Patch Selection for Image Recognition. CoRR abs/2104.03059 (2021) - [i8]Thomas Kipf, Gamaleldin F. Elsayed, Aravindh Mahendran, Austin Stone, Sara Sabour, Georg Heigold, Rico Jonschkowski, Alexey Dosovitskiy, Klaus Greff:
Conditional Object-Centric Learning from Video. CoRR abs/2111.12594 (2021) - 2020
- [c10]Michael Tschannen, Josip Djolonga, Marvin Ritter, Aravindh Mahendran, Neil Houlsby, Sylvain Gelly, Mario Lucic:
Self-Supervised Learning of Video-Induced Visual Invariances. CVPR 2020: 13803-13812 - [c9]Francesco Locatello, Dirk Weissenborn, Thomas Unterthiner, Aravindh Mahendran, Georg Heigold, Jakob Uszkoreit, Alexey Dosovitskiy, Thomas Kipf:
Object-Centric Learning with Slot Attention. NeurIPS 2020 - [i7]Francesco Locatello, Dirk Weissenborn, Thomas Unterthiner, Aravindh Mahendran, Georg Heigold, Jakob Uszkoreit, Alexey Dosovitskiy, Thomas Kipf:
Object-Centric Learning with Slot Attention. CoRR abs/2006.15055 (2020) - [i6]Rob Romijnders, Aravindh Mahendran, Michael Tschannen, Josip Djolonga, Marvin Ritter, Neil Houlsby, Mario Lucic:
Representation learning from videos in-the-wild: An object-centric approach. CoRR abs/2010.02808 (2020)
2010 – 2019
- 2019
- [i5]Michael Tschannen, Josip Djolonga, Marvin Ritter, Aravindh Mahendran, Neil Houlsby, Sylvain Gelly, Mario Lucic:
Self-Supervised Learning of Video-Induced Visual Invariances. CoRR abs/1912.02783 (2019) - 2018
- [b1]Aravindh Mahendran:
Self-supervised learning using motion and visualizing convolutional neural networks. University of Oxford, UK, 2018 - [c8]Aravindh Mahendran, James Thewlis, Andrea Vedaldi:
Cross Pixel Optical-Flow Similarity for Self-supervised Learning. ACCV (5) 2018: 99-116 - [c7]Aravindh Mahendran, James Thewlis, Andrea Vedaldi:
Self-supervised Segmentation by Grouping Optical-Flow. ECCV Workshops (5) 2018: 528-534 - [i4]Aravindh Mahendran, James Thewlis, Andrea Vedaldi:
Cross Pixel Optical Flow Similarity for Self-Supervised Learning. CoRR abs/1807.05636 (2018) - 2016
- [j1]Aravindh Mahendran, Andrea Vedaldi:
Visualizing Deep Convolutional Neural Networks Using Natural Pre-images. Int. J. Comput. Vis. 120(3): 233-255 (2016) - [c6]Aravindh Mahendran, Andrea Vedaldi:
Salient Deconvolutional Networks. ECCV (6) 2016: 120-135 - [i3]Aravindh Mahendran, Hakan Bilen, João F. Henriques, Andrea Vedaldi:
ResearchDoom and CocoDoom: Learning Computer Vision with Games. CoRR abs/1610.02431 (2016) - 2015
- [c5]Aravindh Mahendran, Andrea Vedaldi:
Understanding deep image representations by inverting them. CVPR 2015: 5188-5196 - [i2]Aravindh Mahendran, Andrea Vedaldi:
Visualizing Deep Convolutional Neural Networks Using Natural Pre-Images. CoRR abs/1512.02017 (2015) - 2014
- [c4]Aravindh Mahendran, Martial Hebert, Stephen F. Smith:
Exploiting domain constraints for exemplar based bus detection for traffic scheduling. ITSC 2014: 2936-2943 - [i1]Aravindh Mahendran, Andrea Vedaldi:
Understanding Deep Image Representations by Inverting Them. CoRR abs/1412.0035 (2014) - 2013
- [c3]Aravindh Mahendran, Ayush Dewan, Nikhil Soni, K. Madhava Krishna:
UGV-MAV Collaboration for Augmented 2D Maps. AIR 2013: 38:1-38:6 - [c2]Ayush Dewan, Aravindh Mahendran, Nikhil Soni, K. Madhava Krishna:
Optimization based coordinated UGV-MAV exploration for 2D augmented mapping. AAMAS 2013: 1125-1126 - [c1]Ayush Dewan, Aravindh Mahendran, Nikhil Soni, K. Madhava Krishna:
Heterogeneous UGV-MAV exploration using integer programming. IROS 2013: 5742-5749
Coauthor Index
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