UGV-MAV Collaboration for Augmented 2D Maps. - Aravindh Mahendran; Ayush Dewan; Nikhil Soni; K. Madhava Krishna (AIR, 2013)

Optimization based coordinated UGV-MAV exploration for 2D augmented mapping. - Ayush Dewan; Aravindh Mahendran; Nikhil Soni; K. Madhava Krishna (AAMAS, 2013)

Heterogeneous UGV-MAV exploration using integer programming. - Ayush Dewan; Aravindh Mahendran; Nikhil Soni; K. Madhava Krishna (IROS, 2013)

Exploiting domain constraints for exemplar based bus detection for traffic scheduling. - Aravindh Mahendran; Martial Hebert; Stephen F. Smith (ITSC, 2014)

Understanding deep image representations by inverting them. - Aravindh Mahendran; Andrea Vedaldi (CVPR, 2015)

Salient Deconvolutional Networks. - Aravindh Mahendran; Andrea Vedaldi (ECCV (6), 2016)

ResearchDoom and CocoDoom: Learning Computer Vision with Games. - Aravindh Mahendran; Hakan Bilen; João F. Henriques; Andrea Vedaldi (CoRR, 2016)

Visualizing Deep Convolutional Neural Networks Using Natural Pre-images. - Aravindh Mahendran; Andrea Vedaldi (Int. J. Comput. Vis., 2016)

Cross Pixel Optical-Flow Similarity for Self-supervised Learning. - Aravindh Mahendran; James Thewlis; Andrea Vedaldi (ACCV (5), 2018)

Self-supervised Segmentation by Grouping Optical-Flow. - Aravindh Mahendran; James Thewlis; Andrea Vedaldi (ECCV Workshops (5), 2018)

Self-supervised learning using motion and visualizing convolutional neural networks. - Aravindh Mahendran (2018)

Self-Supervised Learning of Video-Induced Visual Invariances. - Michael Tschannen; Josip Djolonga; Marvin Ritter; Aravindh Mahendran; Neil Houlsby; Sylvain Gelly; Mario Lucic (CVPR, 2020)

Object-Centric Learning with Slot Attention. - Francesco Locatello; Dirk Weissenborn; Thomas Unterthiner; Aravindh Mahendran; Georg Heigold; Jakob Uszkoreit; Alexey Dosovitskiy; Thomas Kipf (NeurIPS, 2020)

Differentiable Patch Selection for Image Recognition. - Jean-Baptiste Cordonnier; Aravindh Mahendran; Alexey Dosovitskiy; Dirk Weissenborn; Jakob Uszkoreit; Thomas Unterthiner (CVPR, 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 (WACV, 2021)

Simple Open-Vocabulary Object Detection. - Matthias Minderer; Alexey A. Gritsenko; Austin Stone; Maxim Neumann; Dirk Weissenborn; Alexey Dosovitskiy; Aravindh Mahendran; Anurag Arnab; Mostafa Dehghani 001; Zhuoran Shen; Xiao Wang 038; Xiaohua Zhai; et al. (ECCV (10), 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 (ICLR, 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 (NeurIPS, 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 (NeurIPS, 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 001; Zhuoran Shen; Xiao Wang 038; Xiaohua Zhai; et al. (CoRR, 2022)

RUST: Latent Neural Scene Representations from Unposed Imagery. - Mehdi S. M. Sajjadi; Aravindh Mahendran; Thomas Kipf; Etienne Pot; Daniel Duckworth; Mario Lucic; Klaus Greff (CVPR, 2023)

Iterative Patch Selection for High-Resolution Image Recognition. - Benjamin Bergner; Christoph Lippert; Aravindh Mahendran (ICLR, 2023)

Scaling Vision Transformers to 22 Billion Parameters. - Mostafa Dehghani 001; Josip Djolonga; Basil Mustafa; Piotr Padlewski; Jonathan Heek; Justin Gilmer; Andreas Peter Steiner; Mathilde Caron; Robert Geirhos; Ibrahim Alabdulmohsin; Rodolphe Jenatton; Lucas Beyer; et al. (ICML, 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 (ICML, 2023)

Scaling 4D Representations. - João Carreira 001; Dilara Gokay; Michael King; Chuhan Zhang; Ignacio Rocco; Aravindh Mahendran; Thomas Keck; Joseph Heyward; Skanda Koppula; Etienne Pot; Goker Erdogan; Yana Hasson; et al. (CoRR, 2024)

Token Cropr: Faster ViTs for Quite a Few Tasks. - Benjamin Bergner; Christoph Lippert; Aravindh Mahendran (CVPR, 2025)