Aravindh Mahendran
Aravindh Mahendran
Google Brain
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Understanding deep image representations by inverting them
A Mahendran, A Vedaldi
Proceedings of the IEEE conference on computer vision and pattern …, 2015
Visualizing deep convolutional neural networks using natural pre-images
A Mahendran, A Vedaldi
International Journal of Computer Vision 120 (3), 233-255, 2016
Salient deconvolutional networks
A Mahendran, A Vedaldi
European Conference on Computer Vision, 120-135, 2016
Object-centric learning with slot attention
F Locatello, D Weissenborn, T Unterthiner, A Mahendran, G Heigold, ...
arXiv preprint arXiv:2006.15055, 2020
Cross pixel optical-flow similarity for self-supervised learning
A Mahendran, J Thewlis, A Vedaldi
Asian Conference on Computer Vision, 99-116, 2018
Self-supervised learning of video-induced visual invariances
M Tschannen, J Djolonga, M Ritter, A Mahendran, N Houlsby, S Gelly, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
Heterogeneous UGV-MAV exploration using integer programming
A Dewan, A Mahendran, N Soni, KM Krishna
Intelligent Robots and Systems (IROS), 2013 IEEE/RSJ International …, 2013
Researchdoom and cocodoom: Learning computer vision with games
A Mahendran, H Bilen, JF Henriques, A Vedaldi
arXiv preprint arXiv:1610.02431, 2016
UGV-MAV collaboration for augmented 2d maps
A Mahendran, A Dewan, N Soni, KM Krishna
Proceedings of Conference on Advances In Robotics, 1-6, 2013
Bus detection for adaptive traffic signal control
A Mahendran, M Hebert, S Smith, XF Xie
Carnegie-Mellon University, 2014
Optimization Based coordinated uGV-MAV exploration for 2D augmented mapping
A Dewan, A Mahendran, N Soni, KM Krishna
Proceedings of the 2013 international conference on Autonomous agents and …, 2013
Self-supervised segmentation by grouping optical-flow
A Mahendran, J Thewlis, A Vedaldi
Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018
Differentiable Patch Selection for Image Recognition
JB Cordonnier, A Mahendran, A Dosovitskiy, D Weissenborn, J Uszkoreit, ...
arXiv preprint arXiv:2104.03059, 2021
Exploiting domain constraints for exemplar based bus detection for traffic scheduling
A Mahendran, M Hebert, S Smith
17th International IEEE Conference on Intelligent Transportation Systems …, 2014
Exploiting Domain Constraints for Bus Detection at Road Traffic Intersections
A Mahendran
MS thesis, Robotics Inst., Carnegie Mellon Univ, 2013
Representation learning from videos in-the-wild: An object-centric approach
R Romijnders, A Mahendran, M Tschannen, J Djolonga, M Ritter, ...
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021
Self-supervised learning using motion and visualizing convolutional neural networks
A Mahendran
University of Oxford, 2018
Supplementary Material for Object-Centric Learning with Slot Attention
F Locatello, D Weissenborn, T Unterthiner, A Mahendran, G Heigold, ...
Supplementary: Self-Supervised Learning of Video-Induced Visual Invariances
MTJDM Ritter, A Mahendran, NHSGM Lucic
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