Thalaiyasingam Ajanthan
Thalaiyasingam Ajanthan
Email confirmado em anu.edu.au - Página inicial
Título
Citado por
Citado por
Ano
Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence
A Chaudhry, PK Dokania, T Ajanthan, PHS Torr
European Conference on Computer Vision (ECCV), 2018
3032018
Snip: Single-shot network pruning based on connection sensitivity
N Lee, T Ajanthan, PHS Torr
arXiv preprint arXiv:1810.02340, 2018
2822018
Continual learning with tiny episodic memories
A Chaudhry, M Rohrbach, M Elhoseiny, T Ajanthan, PK Dokania, ...
137*2019
A signal propagation perspective for pruning neural networks at initialization
N Lee, T Ajanthan, S Gould, PHS Torr
arXiv preprint arXiv:1906.06307, 2019
512019
Learning to adapt for stereo
A Tonioni, O Rahnama, T Joy, LD Stefano, T Ajanthan, PHS Torr
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
262019
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
17*2017
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
142015
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
132018
Calibration of neural networks using splines
K Gupta, A Rahimi, T Ajanthan, T Mensink, C Sminchisescu, R Hartley
arXiv preprint arXiv:2006.12800, 2020
122020
DGPose: Deep Generative Models for Human Body Analysis
R de Bem, A Ghosh, T Ajanthan, O Miksik, A Boukhayma, N Siddharth, ...
International Journal of Computer Vision 128 (5), 1537-1563, 2020
122020
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
122019
Proximal mean-field for neural network quantization
T Ajanthan, PK Dokania, R Hartley, PHS Torr
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
92019
Automatic Number Plate Recognition in Low Quality Videos
T Ajanthan, P Kamalaruban, R Rodrigo
Industrial and Information Systems (ICIIS), 566 - 571, 2013
92013
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
72019
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
72018
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
62018
Mirror descent view for neural network quantization
T Ajanthan, K Gupta, P Torr, R Hartley, P Dokania
International Conference on Artificial Intelligence and Statistics, 2809-2817, 2021
42021
Pairwise similarity knowledge transfer for weakly supervised object localization
A Rahimi, A Shaban, T Ajanthan, R Hartley, B Boots
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
4*2020
Improved gradient based adversarial attacks for quantized networks
K Gupta, T Ajanthan
arXiv preprint arXiv:2003.13511, 2020
32020
Understanding the Effects of Data Parallelism and Sparsity on Neural Network Training
N Lee, T Ajanthan, PHS Torr, M Jaggi
arXiv preprint arXiv:2003.11316, 2020
2*2020
O sistema não pode efectuar a operação agora. Tente novamente mais tarde.
Artigos 1–20