activity
20182024
most citedTextCaps : Handwritten Character Recognition with Very Small Datasets

58 citations · 200 across the 25 of their papers we have counts for

collaborators
Showing 2021Show all

8 papers · 1 filter

cs.CV2021

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…

cs.CV2021★ 3 cited

KORSAL: Key-point Detection based Online Real-Time Spatio-Temporal Action Localization

Kalana Abeywardena, Shechem Sumanthiran, Sakuna Jayasundara +3

Real-time and online action localization in a video is a critical yet highly challenging problem. Accurate action localization requires the utilization of both temporal and spatial…

cs.CV2021★ 19 cited

SwiftLane: Towards Fast and Efficient Lane Detection

Oshada Jayasinghe, Damith Anhettigama, Sahan Hemachandra +3

Recent work done on lane detection has been able to detect lanes accurately in complex scenarios, yet many fail to deliver real-time performance specifically with limited computati…

cs.CV2021★ 42 cited

CeyMo: See More on Roads -- A Novel Benchmark Dataset for Road Marking Detection

Oshada Jayasinghe, Sahan Hemachandra, Damith Anhettigama +3

In this paper, we introduce a novel road marking benchmark dataset for road marking detection, addressing the limitations in the existing publicly available datasets such as lack o…

cs.LG2021

Neural Mixture Models with Expectation-Maximization for End-to-end Deep Clustering

Dumindu Tissera, Kasun Vithanage, Rukshan Wijesinghe +4

Any clustering algorithm must synchronously learn to model the clusters and allocate data to those clusters in the absence of labels. Mixture model-based methods model clusters wit…

cs.CV2021

End-To-End Data-Dependent Routing in Multi-Path Neural Networks

Dumindu Tissera, Rukshan Wijessinghe, Kasun Vithanage +3

Neural networks are known to give better performance with increased depth due to their ability to learn more abstract features. Although the deepening of networks has been well est…

cs.CV2021★ 9 cited

Diverse Single Image Generation with Controllable Global Structure

Sutharsan Mahendren, Chamira Edussooriya, Ranga Rodrigo

Image generation from a single image using generative adversarial networks is quite interesting due to the realism of generated images. However, recent approaches need improvement…

cs.RO2021★ 4 cited

DEVI: Open-source Human-Robot Interface for Interactive Receptionist Systems

Ramesha Karunasena, Piumi Sandarenu, Madushi Pinto +3

Humanoid robots that act as human-robot interfaces equipped with social skills can assist people in many of their daily activities. Receptionist robots are one such application whe…