متابعة
Thalaiyasingam Ajanthan
Thalaiyasingam Ajanthan
Pluralis Research | Australian National University
بريد إلكتروني تم التحقق منه على anu.edu.au - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Snip: Single-shot network pruning based on connection sensitivity‏
N Lee, T Ajanthan, PHS Torr‏
arXiv preprint arXiv:1810.02340, 2018‏
14262018
Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence‏
A Chaudhry, PK Dokania, T Ajanthan, PHS Torr‏
European Conference on Computer Vision (ECCV), 2018‏
13572018
Continual learning with tiny episodic memories‏
A Chaudhry, M Rohrbach, M Elhoseiny, T Ajanthan, P Dokania, P Torr, ...‏
Workshop on Multi-Task and Lifelong Reinforcement Learning, 2019‏
1013*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
1902019
Calibration of neural networks using splines‏
K Gupta, A Rahimi, T Ajanthan, T Mensink, C Sminchisescu, R Hartley‏
arXiv preprint arXiv:2006.12800, 2020‏
1462020
Retrieval augmented classification for long-tail visual recognition‏
A Long, W Yin, T Ajanthan, V Nguyen, P Purkait, R Garg, A Blair, C Shen, ...‏
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022‏
1112022
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
912019
Understanding and improving the role of projection head in self-supervised learning‏
K Gupta, T Ajanthan, A Hengel, S Gould‏
arXiv preprint arXiv:2212.11491, 2022‏
362022
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
292021
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
242019
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
232019
Bidirectionally self-normalizing neural networks‏
Y Lu, S Gould, T Ajanthan‏
Neural Networks 167, 283-291, 2023‏
212023
Improved gradient-based adversarial attacks for quantized networks‏
K Gupta, T Ajanthan‏
Proceedings of the AAAI Conference on Artificial Intelligence 36 (6), 6810-6818, 2022‏
212022
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
212017
Automatic Number Plate Recognition in Low Quality Videos‏
T Ajanthan, P Kamalaruban, R Rodrigo‏
Industrial and Information Systems (ICIIS), 566 - 571, 2013‏
192013
Post-hoc calibration of neural networks‏
A Rahimi, K Gupta, T Ajanthan, T Mensink, C Sminchisescu, R Hartley‏
arXiv preprint arXiv:2006.12807 2, 2020‏
182020
Pairwise similarity knowledge transfer for weakly supervised object localization‏
A Rahimi, A Shaban, T Ajanthan, R Hartley, B Boots‏
European conference on computer vision, 395-412, 2020‏
172020
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
172018
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, 1537-1563, 2020‏
162020
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
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مقالات 1–20