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- Publications
- Influence
Understanding deep image representations by inverting them
- Aravindh Mahendran, A. Vedaldi
- Computer Science, Mathematics
- IEEE Conference on Computer Vision and Pattern…
- 26 November 2014
Image representations, from SIFT and Bag of Visual Words to Convolutional Neural Networks (CNNs), are a crucial component of almost any image understanding system. Nevertheless, our understanding of… Expand
Visualizing Deep Convolutional Neural Networks Using Natural Pre-images
- Aravindh Mahendran, A. Vedaldi
- Computer Science, Mathematics
- International Journal of Computer Vision
- 7 December 2015
TLDR
Object-Centric Learning with Slot Attention
- Francesco Locatello, Dirk Weissenborn, +5 authors Thomas Kipf
- Computer Science, Mathematics
- NeurIPS
- 26 June 2020
TLDR
Salient Deconvolutional Networks
- Aravindh Mahendran, A. Vedaldi
- Computer Science
- ECCV
- 8 October 2016
TLDR
Cross Pixel Optical Flow Similarity for Self-Supervised Learning
- Aravindh Mahendran, James Thewlis, A. Vedaldi
- Computer Science
- ACCV
- 15 July 2018
TLDR
Heterogeneous UGV-MAV exploration using integer programming
- A. Dewan, Aravindh Mahendran, N. Soni, K. Krishna
- Engineering, Computer Science
- IEEE/RSJ International Conference on Intelligent…
- 1 November 2013
TLDR
Self-Supervised Learning of Video-Induced Visual Invariances
- Michael Tschannen, Josip Djolonga, +4 authors M. Lucic
- Computer Science
- IEEE/CVF Conference on Computer Vision and…
- 5 December 2019
TLDR
ResearchDoom and CocoDoom: Learning Computer Vision with Games
- Aravindh Mahendran, Hakan Bilen, João F. Henriques, A. Vedaldi
- Computer Science
- ArXiv
- 7 October 2016
TLDR
UGV-MAV Collaboration for Augmented 2D Maps
- Aravindh Mahendran, A. Dewan, N. Soni, K. Krishna
- Computer Science
- AIR '13
- 4 July 2013
TLDR
Self-supervised Segmentation by Grouping Optical-Flow
- Aravindh Mahendran, James Thewlis, A. Vedaldi
- Computer Science
- ECCV Workshops
- 8 September 2018
TLDR