Aravindh Mahendran

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 30

Top Topics

Supervised Learning

Object Detection

Wavelet Packet Decomposition

Top Venues

Publications

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)
Benjamin Bergner, Christoph Lippert, Aravindh Mahendran
Iterative Patch Selection for High-Resolution Image Recognition. ICLR (2023)
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 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 (2023)
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)
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)
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 (2023)
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 (2022)
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)
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 (2022)
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)
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)
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 (2022)
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)
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 (2022)
Benjamin Bergner, Christoph Lippert, Aravindh Mahendran
Iterative Patch Selection for High-Resolution Image Recognition. CoRR (2022)
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)
Jean-Baptiste Cordonnier, Aravindh Mahendran, Alexey Dosovitskiy, Dirk Weissenborn, Jakob Uszkoreit, Thomas Unterthiner
Differentiable Patch Selection for Image Recognition. CoRR (2021)
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 (2021)
Jean-Baptiste Cordonnier, Aravindh Mahendran, Alexey Dosovitskiy, Dirk Weissenborn, Jakob Uszkoreit, Thomas Unterthiner
Differentiable Patch Selection for Image Recognition. CVPR (2021)
Francesco Locatello, Dirk Weissenborn, Thomas Unterthiner, Aravindh Mahendran, Georg Heigold, Jakob Uszkoreit, Alexey Dosovitskiy, Thomas Kipf
Object-Centric Learning with Slot Attention. NeurIPS (2020)
Francesco Locatello, Dirk Weissenborn, Thomas Unterthiner, Aravindh Mahendran, Georg Heigold, Jakob Uszkoreit, Alexey Dosovitskiy, Thomas Kipf
Object-Centric Learning with Slot Attention. CoRR (2020)
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 (2020)
Michael Tschannen, Josip Djolonga, Marvin Ritter, Aravindh Mahendran, Neil Houlsby, Sylvain Gelly, Mario Lucic
Self-Supervised Learning of Video-Induced Visual Invariances. CVPR (2020)
Michael Tschannen, Josip Djolonga, Marvin Ritter, Aravindh Mahendran, Neil Houlsby, Sylvain Gelly, Mario Lucic
Self-Supervised Learning of Video-Induced Visual Invariances. CoRR (2019)
Aravindh Mahendran, James Thewlis, Andrea Vedaldi
Self-supervised Segmentation by Grouping Optical-Flow. ECCV Workshops (5) (2018)
Aravindh Mahendran, James Thewlis, Andrea Vedaldi
Cross Pixel Optical Flow Similarity for Self-Supervised Learning. CoRR (2018)
Aravindh Mahendran, James Thewlis, Andrea Vedaldi
Cross Pixel Optical-Flow Similarity for Self-supervised Learning. ACCV (5) (2018)
Aravindh Mahendran, Hakan Bilen, João F. Henriques, Andrea Vedaldi
ResearchDoom and CocoDoom: Learning Computer Vision with Games. CoRR (2016)
Aravindh Mahendran, Andrea Vedaldi
Salient Deconvolutional Networks. ECCV (6) (2016)
Aravindh Mahendran, Andrea Vedaldi
Visualizing Deep Convolutional Neural Networks Using Natural Pre-images. Int. J. Comput. Vis. 120 (3) (2016)
Aravindh Mahendran, Andrea Vedaldi
Understanding deep image representations by inverting them. CVPR (2015)
Aravindh Mahendran, Andrea Vedaldi
Visualizing Deep Convolutional Neural Networks Using Natural Pre-Images. CoRR (2015)
Aravindh Mahendran, Andrea Vedaldi
Understanding Deep Image Representations by Inverting Them. CoRR (2014)
Aravindh Mahendran, Martial Hebert, Stephen F. Smith
Exploiting domain constraints for exemplar based bus detection for traffic scheduling. ITSC (2014)
Ayush Dewan, Aravindh Mahendran, Nikhil Soni, K. Madhava Krishna
Heterogeneous UGV-MAV exploration using integer programming. IROS (2013)
Ayush Dewan, Aravindh Mahendran, Nikhil Soni, K. Madhava Krishna
Optimization based coordinated UGV-MAV exploration for 2D augmented mapping. AAMAS (2013)
Aravindh Mahendran, Ayush Dewan, Nikhil Soni, K. Madhava Krishna
UGV-MAV Collaboration for Augmented 2D Maps. AIR (2013)