activity
20222026
most citedControlled Text Generation using T5 based Encoder-Decoder Soft Prompt Tuning and Analysis of the Utility of Generated Text in AI

3 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

AViS-Mamba: Adaptive Visual Steering of Audio State-Space Dynamics for Violence Detection

Damith Chamalke Senadeera, Dimitrios Kollias, Gregory Slabaugh

Automatic violence detection from video is challenging because violent interactions may be distant, occluded, or only partially visible. Audio can provide complementary evidence fo…

cs.CV2025

FuseMamba-VD: Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection

Damith Chamalke Senadeera, Muhammad Awais, Shibo Li +2

The rapid proliferation of surveillance cameras has increased the demand for automated violence detection. While CNNs and Transformers have shown success in extracting spatio-tempo…

cs.CV2025

DVD: A Comprehensive Dataset for Advancing Violence Detection in Real-World Scenarios

Dimitrios Kollias, Damith C. Senadeera, Jianian Zheng +4

Violence Detection (VD) has become an increasingly vital area of research. Existing automated VD efforts are hindered by the limited availability of diverse, well-annotated databas…

cs.CV2024

CUE-Net: Violence Detection Video Analytics with Spatial Cropping, Enhanced UniformerV2 and Modified Efficient Additive Attention

Damith Chamalke Senadeera, Xiaoyun Yang, Dimitrios Kollias +1

In this paper we introduce CUE-Net, a novel architecture designed for automated violence detection in video surveillance. As surveillance systems become more prevalent due to techn…

cs.CL2022★ 3 cited

Controlled Text Generation using T5 based Encoder-Decoder Soft Prompt Tuning and Analysis of the Utility of Generated Text in AI

Damith Chamalke Senadeera, Julia Ive

Controlled text generation is a very important task in the arena of natural language processing due to its promising applications. In order to achieve this task we mainly introduce…