Aravindh Mahendran
Aravindh Mahendran
Google Research, Brain Team
Verified email at - Homepage
Cited by
Cited by
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
Object-centric learning with slot attention
F Locatello, D Weissenborn, T Unterthiner, A Mahendran, G Heigold, ...
Advances in Neural Information Processing Systems 33, 11525-11538, 2020
Salient deconvolutional networks
A Mahendran, A Vedaldi
European conference on computer vision, 120-135, 2016
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
Differentiable patch selection for image recognition
JB Cordonnier, A Mahendran, A Dosovitskiy, D Weissenborn, J Uszkoreit, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
Researchdoom and cocodoom: Learning computer vision with games
A Mahendran, H Bilen, JF Henriques, A Vedaldi
arXiv preprint arXiv:1610.02431, 2016
Conditional Object-Centric Learning from Video
T Kipf, GF Elsayed, A Mahendran, A Stone, S Sabour, G Heigold, ...
arXiv preprint arXiv:2111.12594, 2021
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
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
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
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
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
Simple Open-Vocabulary Object Detection with Vision Transformers
M Minderer, A Gritsenko, A Stone, M Neumann, D Weissenborn, ...
arXiv preprint arXiv:2205.06230, 2022
Object-Centric Learning with Slot Attention
D Weissenborn, J Uszkoreit, T Unterthiner, A Mahendran, F Locatello, ...
US Patent App. 16/927,018, 2021
Self-supervised learning using motion and visualizing convolutional neural networks
A Mahendran
University of Oxford, 2018
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