Jathushan Rajasegaran | DeepAI

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∙ 05/31/2023

Humans in 4D: Reconstructing and Tracking Humans with Transformers

We present an approach to reconstruct humans and track them over time. A...

0 Shubham Goel, et al. ∙

∙ 04/03/2023

On the Benefits of 3D Pose and Tracking for Human Action Recognition

In this work we study the benefits of using tracking and 3D poses for ac...

6 Jathushan Rajasegaran, et al. ∙

∙ 02/01/2022

Fully Online Meta-Learning Without Task Boundaries

While deep networks can learn complex functions such as classifiers, det...

0 Jathushan Rajasegaran, et al. ∙

∙ 12/08/2021

Tracking People by Predicting 3D Appearance, Location Pose

In this paper, we present an approach for tracking people in monocular v...

10 Jathushan Rajasegaran, et al. ∙

∙ 11/15/2021

Tracking People with 3D Representations

We present a novel approach for tracking multiple people in video. Unlik...

5 Jathushan Rajasegaran, et al. ∙

∙ 10/19/2020

Meta-learning the Learning Trends Shared Across Tasks

Meta-learning stands for 'learning to learn' such that generalization to...

0 Jathushan Rajasegaran, et al. ∙

∙ 06/17/2020

Self-supervised Knowledge Distillation for Few-shot Learning

Real-world contains an overwhelmingly large number of object classes, le...

77 Jathushan Rajasegaran, et al. ∙

∙ 06/02/2020

A Multi-modal Neural Embeddings Approach for Detecting Mobile Counterfeit Apps: A Case Study on Google Play Store

Counterfeit apps impersonate existing popular apps in attempts to misgui...

0 Naveen Karunanayake, et al. ∙

∙ 03/25/2020

iTAML: An Incremental Task-Agnostic Meta-learning Approach

Humans can continuously learn new knowledge as their experience grows. I...

4 Jathushan Rajasegaran, et al. ∙

∙ 03/17/2020

Incremental Object Detection via Meta-Learning

In a real-world setting, object instances from new classes may be contin...

11 K J Joseph, et al. ∙

∙ 11/26/2019

TimeCaps: Capturing Time Series Data with Capsule Networks

Capsule networks excel in understanding spatial relationships in 2D data...

0 Hirunima Jayasekara, et al. ∙

∙ 06/03/2019

Random Path Selection for Incremental Learning

Incremental life-long learning is a main challenge towards the long-stan...

0 Jathushan Rajasegaran, et al. ∙

∙ 04/21/2019

DeepCaps: Going Deeper with Capsule Networks

Capsule Network is a promising concept in deep learning, yet its true po...

0 Jathushan Rajasegaran, et al. ∙

∙ 04/17/2019

TextCaps : Handwritten Character Recognition with Very Small Datasets

Many localized languages struggle to reap the benefits of recent advance...

0 Vinoj Jayasundara, et al. ∙

∙ 10/16/2018

Combined Static and Motion Features for Deep-Networks Based Activity Recognition in Videos

Activity recognition in videos in a deep-learning setting---or otherwise...

0 Sameera Ramasinghe, et al. ∙

∙ 04/26/2018

A Neural Embeddings Approach for Detecting Mobile Counterfeit Apps

Counterfeit apps impersonate existing popular apps in attempts to misgui...

0 Jathushan Rajasegaran, et al. ∙

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