Thalaiyasingam Ajanthan | DeepAI

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∙ 03/30/2023

Adaptive Cross Batch Normalization for Metric Learning

Metric learning is a fundamental problem in computer vision whereby a mo...

9 Thalaiyasingam Ajanthan, et al. ∙

∙ 12/22/2022

Understanding and Improving the Role of Projection Head in Self-Supervised Learning

Self-supervised learning (SSL) aims to produce useful feature representa...

4 Kartik Gupta, et al. ∙

∙ 02/22/2022

Retrieval Augmented Classification for Long-Tail Visual Recognition

We introduce Retrieval Augmented Classification (RAC), a generic approac...

4 Alexander Long, et al. ∙

∙ 03/25/2021

Few-shot Weakly-Supervised Object Detection via Directional Statistics

Detecting novel objects from few examples has become an emerging topic i...

4 Amirreza Shaban, et al. ∙

∙ 10/09/2020

Deep Learning Superpixel Semantic Segmentation with Transparent Initialization and Sparse Encoder

Even though deep learning greatly improves the performance of semantic s...

0 Zhiwei Xu, et al. ∙

∙ 10/06/2020

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

Although 3D Convolutional Neural Networks (CNNs) are essential for most ...

14 Zhiwei Xu, et al. ∙

∙ 06/23/2020

Post-hoc Calibration of Neural Networks

Calibration of neural networks is a critical aspect to consider when inc...

23 Amir Rahimi, et al. ∙

∙ 06/23/2020

Calibration of Neural Networks using Splines

Calibrating neural networks is of utmost importance when employing them ...

46 Kartik Gupta, et al. ∙

∙ 06/22/2020

Bidirectional Self-Normalizing Neural Networks

The problem of exploding and vanishing gradients has been a long-standin...

11 Yao Lu, et al. ∙

∙ 03/30/2020

Improved Gradient based Adversarial Attacks for Quantized Networks

Neural network quantization has become increasingly popular due to effic...

2 Kartik Gupta, et al. ∙

∙ 03/18/2020

In Defense of Graph Inference Algorithms for Weakly Supervised Object Localization

Weakly Supervised Object Localization (WSOL) methods have become increas...

8 Amir Rahimi, et al. ∙

∙ 10/24/2019

Fast and Differentiable Message Passing for Stereo Vision

Despite the availability of many Markov Random Field (MRF) optimization ...

28 Zhiwei Xu, et al. ∙

∙ 10/18/2019

Mirror Descent View for Neural Network Quantization

Quantizing large Neural Networks (NN) while maintaining the performance ...

7 Thalaiyasingam Ajanthan, et al. ∙

∙ 06/14/2019

A Signal Propagation Perspective for Pruning Neural Networks at Initialization

Network pruning is a promising avenue for compressing deep neural networ...

0 Namhoon Lee, et al. ∙

∙ 04/05/2019

Learning to Adapt for Stereo

Real world applications of stereo depth estimation require models that a...

0 Alessio Tonioni, et al. ∙

∙ 02/27/2019

Continual Learning with Tiny Episodic Memories

Learning with less supervision is a major challenge in artificial intell...

0 Arslan Chaudhry, et al. ∙

∙ 12/11/2018

Proximal Mean-field for Neural Network Quantization

Compressing large neural networks by quantizing the parameters, while ma...

0 Thalaiyasingam Ajanthan, et al. ∙

∙ 11/22/2018

Generalized Range Moves

We consider move-making algorithms for energy minimization of multi-labe...

0 Richard Hartley, et al. ∙

∙ 10/04/2018

SNIP: Single-shot Network Pruning based on Connection Sensitivity

Pruning large neural networks while maintaining the performance is often...

2 Namhoon Lee, et al. ∙

∙ 05/23/2018

Efficient Relaxations for Dense CRFs with Sparse Higher Order Potentials

Dense conditional random fields (CRFs) with Gaussian pairwise potentials...

0 Thomas Joy, et al. ∙

∙ 04/17/2018

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

Deep generative modelling for robust human body analysis is an emerging ...

0 Rodrigo de Bem, et al. ∙

∙ 01/30/2018

Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence

We study the incremental learning problem for the classification task, a...

0 Arslan Chaudhry, et al. ∙

∙ 11/29/2016

Efficient Linear Programming for Dense CRFs

The fully connected conditional random field (CRF) with Gaussian pairwis...

0 Thalaiyasingam Ajanthan, et al. ∙

∙ 11/24/2014

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

While widely acknowledged as highly effective in computer vision, multi-...

0 Thalaiyasingam Ajanthan, et al. ∙

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