87 citations · 165 across the 12 of their papers we have counts for
13 papers
GAN Based Top-Down View Synthesis in Reinforcement Learning Environments
Usama Younus, Vinoj Jayasundara, Shivam Mishra +1
Human actions are based on the mental perception of the environment. Even when all the aspects of an environment are not visible, humans have an internal mental model that can gene…
Chop & Learn: Recognizing and Generating Object-State Compositions
Nirat Saini, Hanyu Wang, Archana Swaminathan +4
Recognizing and generating object-state compositions has been a challenging task, especially when generalizing to unseen compositions. In this paper, we study the task of cutting o…
FlexNeRF: Photorealistic Free-viewpoint Rendering of Moving Humans from Sparse Views
Vinoj Jayasundara, Amit Agrawal, Nicolas Heron +2
We present FlexNeRF, a method for photorealistic freeviewpoint rendering of humans in motion from monocular videos. Our approach works well with sparse views, which is a challengin…
PointCaps: Raw Point Cloud Processing using Capsule Networks with Euclidean Distance Routing
Dishanika Denipitiyage, Vinoj Jayasundara, Ranga Rodrigo +1
Raw point cloud processing using capsule networks is widely adopted in classification, reconstruction, and segmentation due to its ability to preserve spatial agreement of the inpu…
PatchGame: Learning to Signal Mid-level Patches in Referential Games
Kamal Gupta, Gowthami Somepalli, Anubhav Gupta +3
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. In our referential game, the…
FlowCaps: Optical Flow Estimation with Capsule Networks For Action Recognition
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. In this paper, we explore CapsNet's ca…
Device-Free User Authentication, Activity Classification and Tracking using Passive Wi-Fi Sensing: A Deep Learning Based Approach
Vinoj Jayasundara, Hirunima Jayasekara, Tharaka Samarasinghe +1
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…
TimeCaps: Capturing Time Series Data With Capsule Networks
Hirunima Jayasekara, Vinoj Jayasundara, Mohamed Athif +4
Capsule networks excel in understanding spatial relationships in 2D data for vision related tasks. Even though they are not designed to capture 1D temporal relationships, with Time…
TreeCaps: Tree-Structured Capsule Networks for Program Source Code Processing
Vinoj Jayasundara, Nghi Duy Quoc Bui, Lingxiao Jiang +1
Program comprehension is a fundamental task in software development and maintenance processes. Software developers often need to understand a large amount of existing code before t…
SmartEmbed: A Tool for Clone and Bug Detection in Smart Contracts through Structural Code Embedding
Zhipeng Gao, Vinoj Jayasundara, Lingxiao Jiang +3
Ethereum has become a widely used platform to enable secure, Blockchain-based financial and business transactions. However, a major concern in Ethereum is the security of its smart…
DeepCaps: Going Deeper with Capsule Networks
Jathushan Rajasegaran, Vinoj Jayasundara, Sandaru Jayasekara +3
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…
TextCaps : Handwritten Character Recognition with Very Small Datasets
Vinoj Jayasundara, Sandaru Jayasekara, Hirunima Jayasekara +3
Many localized languages struggle to reap the benefits of recent advancements in character recognition systems due to the lack of substantial amount of labeled training data. This…
Combined Static and Motion Features for Deep-Networks Based Activity Recognition in Videos
Sameera Ramasinghe, Jathushan Rajasegaran, Vinoj Jayasundara +3
Activity recognition in videos in a deep-learning setting---or otherwise---uses both static and pre-computed motion components. The method of combining the two components, whilst k…