Thalaiyasingam Ajanthan
Thalaiyasingam Ajanthan
Australian National University
Verified email at robots.ox.ac.uk - Homepage
TitleCited byYear
Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence
A Chaudhry, PK Dokania, T Ajanthan, PHS Torr
European Conference on Computer Vision (ECCV), 2018
702018
Snip: Single-shot network pruning based on connection sensitivity
N Lee, T Ajanthan, PHS Torr
arXiv preprint arXiv:1810.02340, 2018
402018
Efficient Linear Programming for Dense CRFs
T Ajanthan, A Desmaison, R Bunel, M Salzmann, PHS Torr, MP Kumar
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
112017
Iteratively Reweighted Graph Cut for Multi-Label MRFs With Non-Convex Priors
T Ajanthan, R Hartley, M Salzmann, H Li
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 5144-5152, 2015
112015
Continual learning with tiny episodic memories
A Chaudhry, M Rohrbach, M Elhoseiny, T Ajanthan, PK Dokania, ...
arXiv preprint arXiv:1902.10486, 2019
72019
Automatic Number Plate Recognition in Low Quality Videos
T Ajanthan, P Kamalaruban, R Rodrigo
Industrial and Information Systems (ICIIS), 566 - 571, 2013
62013
Memory Efficient Max Flow for Multi-label Submodular MRFs
T Ajanthan, R Hartley, M Salzmann
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2018
52018
Memory Efficient Max Flow for Multi-label Submodular MRFs
T Ajanthan, R Hartley, M Salzmann
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 5867-5876, 2016
52016
A Semi-supervised Deep Generative Model for Human Body Analysis
R de Bem, A Ghosh, T Ajanthan, O Miksik, N Siddharth, P Torr
ECCV Workshop on Human Behaviour Understanding, 2018
42018
Dgpose: Disentangled semi-supervised deep generative models for human body analysis
R de Bem, A Ghosh, T Ajanthan, O Miksik, N Siddharth, PHS Torr
arXiv preprint arXiv:1804.06364, 2018
42018
A conditional deep generative model of people in natural images
R De Bem, A Ghosh, A Boukhayma, T Ajanthan, N Siddharth, P Torr
2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 1449-1458, 2019
32019
Learning to adapt for stereo
A Tonioni, O Rahnama, T Joy, LD Stefano, T Ajanthan, PHS Torr
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
32019
Efficient relaxations for dense crfs with sparse higher-order potentials
T Joy, A Desmaison, T Ajanthan, R Bunel, M Salzmann, P Kohli, PHS Torr, ...
SIAM Journal on Imaging Sciences 12 (1), 287-318, 2019
32019
Similarity Learning for Dense Label Transfer
M Najafi, V Kulharia, T Ajanthan, PHS Torr
The 2018 DAVIS Challenge on Video Object Segmentation-CVPR Workshops, 2018
32018
Proximal mean-field for neural network quantization
T Ajanthan, PK Dokania, R Hartley, PHS Torr
Proceedings of the IEEE International Conference on Computer Vision, 4871-4880, 2019
22019
Optimization of Markov Random Fields in Computer Vision
T Ajanthan
PhD Thesis, 2017
22017
A Signal Propagation Perspective for Pruning Neural Networks at Initialization
N Lee, T Ajanthan, S Gould, PHS Torr
arXiv preprint arXiv:1906.06307, 2019
12019
Generalized Range Moves
R Hartley, T Ajanthan
arXiv preprint arXiv:1811.09171, 2018
12018
Fast and Differentiable Message Passing for Stereo Vision
Z Xu, T Ajanthan, R Hartley
arXiv preprint arXiv:1910.10892, 2019
2019
Mirror Descent View for Neural Network Quantization
T Ajanthan, K Gupta, PHS Torr, R Hartley, PK Dokania
arXiv preprint arXiv:1910.08237, 2019
2019
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