activity
20192026
most citedTextCaps : Handwritten Character Recognition with Very Small Datasets

58 citations · 60 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2026

All-in-One Conditioning for Text-to-Image Synthesis

Hirunima Jayasekara, Chuong Huynh, Yixuan Ren +2

Accurate interpretation and visual representation of complex prompts involving multiple objects, attributes, and spatial relationships is a critical challenge in text-to-image synt…

cs.CV2024

Unified Framework for Open-World Compositional Zero-shot Learning

Hirunima Jayasekara, Khoi Pham, Nirat Saini +1

Open-World Compositional Zero-Shot Learning (OW-CZSL) addresses the challenge of recognizing novel compositions of known primitives and entities. Even though prior works utilize la…

cs.LG2019

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…

cs.LG2019★ 2 cited

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…

cs.CV2019

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…

cs.CV2019★ 58 cited

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…