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Conditional Object-Centric Learning from Video


Nov 24, 2021
Thomas Kipf, Gamaleldin F. Elsayed, Aravindh Mahendran, Austin Stone, Sara Sabour, Georg Heigold, Rico Jonschkowski, Alexey Dosovitskiy, Klaus Greff

* Project page at https://slot-attention-video.github.io/ 

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Differentiable Patch Selection for Image Recognition


Apr 07, 2021
Jean-Baptiste Cordonnier, Aravindh Mahendran, Alexey Dosovitskiy, Dirk Weissenborn, Jakob Uszkoreit, Thomas Unterthiner

* Accepted to IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2021. Code available at https://github.com/google-research/google-research/tree/master/ptopk_patch_selection/ 

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


Oct 06, 2020
Rob Romijnders, Aravindh Mahendran, Michael Tschannen, Josip Djolonga, Marvin Ritter, Neil Houlsby, Mario Lucic


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Object-Centric Learning with Slot Attention


Jun 26, 2020
Francesco Locatello, Dirk Weissenborn, Thomas Unterthiner, Aravindh Mahendran, Georg Heigold, Jakob Uszkoreit, Alexey Dosovitskiy, Thomas Kipf


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Self-Supervised Learning of Video-Induced Visual Invariances


Dec 05, 2019
Michael Tschannen, Josip Djolonga, Marvin Ritter, Aravindh Mahendran, Neil Houlsby, Sylvain Gelly, Mario Lucic


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Cross Pixel Optical Flow Similarity for Self-Supervised Learning


Jul 15, 2018
Aravindh Mahendran, James Thewlis, Andrea Vedaldi


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Visualizing Deep Convolutional Neural Networks Using Natural Pre-Images


Apr 14, 2016
Aravindh Mahendran, Andrea Vedaldi

* A substantially extended version of http://www.robots.ox.ac.uk/~vedaldi/assets/pubs/mahendran15understanding.pdf. arXiv admin note: text overlap with arXiv:1412.0035 

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Understanding Deep Image Representations by Inverting Them


Nov 26, 2014
Aravindh Mahendran, Andrea Vedaldi


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