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Few-shot Weakly-Supervised Object Detection via Directional Statistics


Mar 25, 2021
Amirreza Shaban, Amir Rahimi, Thalaiyasingam Ajanthan, Byron Boots, Richard Hartley


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RANP: Resource Aware Neuron Pruning at Initialization for 3D CNNs


Oct 25, 2020
Zhiwei Xu, Thalaiyasingam Ajanthan, Vibhav Vineet, Richard Hartley

* International Conference on 3D Vision (3DV), 2020 (Oral) 

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Deep Learning Superpixel Semantic Segmentation with Transparent Initialization and Sparse Encoder


Oct 09, 2020
Zhiwei Xu, Thalaiyasingam Ajanthan, Richard Hartley


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Post-hoc Calibration of Neural Networks


Jun 23, 2020
Amir Rahimi, Kartik Gupta, Thalaiyasingam Ajanthan, Thomas Mensink, Cristian Sminchisescu, Richard Hartley


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Calibration of Neural Networks using Splines


Jun 23, 2020
Kartik Gupta, Amir Rahimi, Thalaiyasingam Ajanthan, Thomas Mensink, Cristian Sminchisescu, Richard Hartley


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Bidirectional Self-Normalizing Neural Networks


Jun 22, 2020
Yao Lu, Stephen Gould, Thalaiyasingam Ajanthan


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Improved Gradient based Adversarial Attacks for Quantized Networks


Mar 30, 2020
Kartik Gupta, Thalaiyasingam Ajanthan


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In Defense of Graph Inference Algorithms for Weakly Supervised Object Localization


Mar 18, 2020
Amir Rahimi, Amirreza Shaban, Thalaiyasingam Ajanthan, Richard Hartley, Byron Boots

* 22 pages, 7 figures 

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Fast and Differentiable Message Passing for Stereo Vision


Nov 04, 2019
Zhiwei Xu, Thalaiyasingam Ajanthan, Richard Hartley

* 23 pages, 21 figures, 7 tables 

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Mirror Descent View for Neural Network Quantization


Oct 18, 2019
Thalaiyasingam Ajanthan, Kartik Gupta, Philip H. S. Torr, Richard Hartley, Puneet K. Dokania


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A Signal Propagation Perspective for Pruning Neural Networks at Initialization


Jun 14, 2019
Namhoon Lee, Thalaiyasingam Ajanthan, Stephen Gould, Philip H. S. Torr


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Learning to Adapt for Stereo


Apr 05, 2019
Alessio Tonioni, Oscar Rahnama, Thomas Joy, Luigi Di Stefano, Thalaiyasingam Ajanthan, Philip H. S. Torr

* Accepted at CVPR2019. Code available at https://github.com/CVLAB-Unibo/Learning2AdaptForStereo 

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Continual Learning with Tiny Episodic Memories


Mar 20, 2019
Arslan Chaudhry, Marcus Rohrbach, Mohamed Elhoseiny, Thalaiyasingam Ajanthan, Puneet K. Dokania, Philip H. S. Torr, Marc'Aurelio Ranzato


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Proximal Mean-field for Neural Network Quantization


Dec 11, 2018
Thalaiyasingam Ajanthan, Puneet K. Dokania, Richard Hartley, Philip H. S. Torr


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Generalized Range Moves


Nov 22, 2018
Richard Hartley, Thalaiyasingam Ajanthan


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Efficient Relaxations for Dense CRFs with Sparse Higher Order Potentials


Oct 26, 2018
Thomas Joy, Alban Desmaison, Thalaiyasingam Ajanthan, Rudy Bunel, Mathieu Salzmann, Pushmeet Kohli, Philip H. S. Torr, M. Pawan Kumar


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Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence


Aug 14, 2018
Arslan Chaudhry, Puneet K. Dokania, Thalaiyasingam Ajanthan, Philip H. S. Torr


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DGPose: Disentangled Semi-supervised Deep Generative Models for Human Body Analysis


Apr 17, 2018
Rodrigo de Bem, Arnab Ghosh, Thalaiyasingam Ajanthan, Ondrej Miksik, N. Siddharth, Philip H. S. Torr

* Keywords: semi-supervised learning, deep generative models, variational autoencoders, human pose estimation 

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Memory Efficient Max Flow for Multi-label Submodular MRFs


Feb 20, 2017
Thalaiyasingam Ajanthan, Richard Hartley, Mathieu Salzmann

* 15 Pages, 13 Figures and 3 Tables 

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Efficient Linear Programming for Dense CRFs


Feb 14, 2017
Thalaiyasingam Ajanthan, Alban Desmaison, Rudy Bunel, Mathieu Salzmann, Philip H. S. Torr, M. Pawan Kumar

* 24 pages, 10 figures and 4 tables 

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Iteratively Reweighted Graph Cut for Multi-label MRFs with Non-convex Priors


Nov 24, 2014
Thalaiyasingam Ajanthan, Richard Hartley, Mathieu Salzmann, Hongdong Li

* CVPR, June 2015 
* 9 pages, 5 figures and 6 tables 

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