Search Results for author: Vinoj Jayasundara

Found 9 papers, 4 papers with code

PatchGame: Learning to Signal Mid-level Patches in Referential Games

1 code implementation NeurIPS 2021 Kamal Gupta, Gowthami Somepalli, Anubhav Gupta, Vinoj Jayasundara, Matthias Zwicker, Abhinav Shrivastava

We study a referential game (a type of signaling game) where two agents communicate with each other via a discrete bottleneck to achieve a common goal.

FlowCaps: Optical Flow Estimation with Capsule Networks For Action Recognition

no code implementations8 Nov 2020 Vinoj Jayasundara, Debaditya Roy, Basura Fernando

Capsule networks (CapsNets) have recently shown promise to excel in most computer vision tasks, especially pertaining to scene understanding.

Action Recognition Optical Flow Estimation +1

Device-Free User Authentication, Activity Classification and Tracking using Passive Wi-Fi Sensing: A Deep Learning Based Approach

no code implementations26 Nov 2019 Vinoj Jayasundara, Hirunima Jayasekara, Tharaka Samarasinghe, Kasun T. Hemachandra

Privacy issues related to video camera feeds have led to a growing need for suitable alternatives that provide functionalities such as user authentication, activity classification and tracking in a noninvasive manner.

General Classification

TreeCaps: Tree-Structured Capsule Networks for Program Source Code Processing

no code implementations27 Oct 2019 Vinoj Jayasundara, Nghi Duy Quoc Bui, Lingxiao Jiang, David Lo

Program comprehension is a fundamental task in software development and maintenance processes.

SmartEmbed: A Tool for Clone and Bug Detection in Smart Contracts through Structural Code Embedding

1 code implementation22 Aug 2019 Zhipeng Gao, Vinoj Jayasundara, Lingxiao Jiang, Xin Xia, David Lo, John Grundy

In addition to the uses by individual developers, SmartEmbed can also be applied to studies of smart contracts in a large scale.

Software Engineering

DeepCaps: Going Deeper with Capsule Networks

5 code implementations CVPR 2019 Jathushan Rajasegaran, Vinoj Jayasundara, Sandaru Jayasekara, Hirunima Jayasekara, Suranga Seneviratne, Ranga Rodrigo

Capsule Network is a promising concept in deep learning, yet its true potential is not fully realized thus far, providing sub-par performance on several key benchmark datasets with complex data.

TextCaps : Handwritten Character Recognition with Very Small Datasets

3 code implementations17 Apr 2019 Vinoj Jayasundara, Sandaru Jayasekara, Hirunima Jayasekara, Jathushan Rajasegaran, Suranga Seneviratne, Ranga Rodrigo

Our system is useful in character recognition for localized languages that lack much labeled training data and even in other related more general contexts such as object recognition.

Few-Shot Image Classification Image Generation

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