activity
20232026
most citedVulgar Remarks Detection in Chittagonian Dialect of Bangla

23 citations · 96 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2026

Promptable Concept Segmentation from Above: Evaluating SAM 3's Zero-Shot and One-Shot Capabilities in Remote Sensing

Mohammad Dabaja, Turgay Celik

The deployment of large-scale foundation models, such as the Segment Anything Model 3 (SAM 3), promises a transition toward open-vocabulary, training-free computer vision. However,…

cs.CL2025★ 23 cited

Language-Independent Sentiment Labelling with Distant Supervision: A Case Study for English, Sepedi and Setswana

Koena Ronny Mabokela, Tim Schlippe, Mpho Raborife +1

Sentiment analysis is a helpful task to automatically analyse opinions and emotions on various topics in areas such as AI for Social Good, AI in Education or marketing. While many…

cs.CV2025

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation

Yitao Zhao, Sen Lei, Nanqing Liu +3

As an essential procedure in earth observation system, change detection (CD) aims to reveal the spatial-temporal evolution of the observation regions. A key prerequisite for existi…

cs.CV2024

SSLChange: A Self-supervised Change Detection Framework Based on Domain Adaptation

Yitao Zhao, Turgay Celik, Nanqing Liu +2

In conventional remote sensing change detection (RS CD) procedures, extensive manual labeling for bi-temporal images is first required to maintain the performance of subsequent ful…

cs.CV2024★ 4 cited

FER-YOLO-Mamba: Facial Expression Detection and Classification Based on Selective State Space

Hui Ma, Sen Lei, Turgay Celik +1

Facial Expression Recognition (FER) plays a pivotal role in understanding human emotional cues. However, traditional FER methods based on visual information have some limitations,…

cs.CL2023★ 23 cited

Vulgar Remarks Detection in Chittagonian Dialect of Bangla

Tanjim Mahmud, Michal Ptaszynski, Fumito Masui

The negative effects of online bullying and harassment are increasing with Internet popularity, especially in social media. One solution is using natural language processing (NLP)…

cs.CL2023★ 23 cited

Detection of depression on social networks using transformers and ensembles

Ilija Tavchioski, Marko Robnik-Šikonja, Senja Pollak

As the impact of technology on our lives is increasing, we witness increased use of social media that became an essential tool not only for communication but also for sharing infor…

cs.CL2023★ 23 cited

XAI in Computational Linguistics: Understanding Political Leanings in the Slovenian Parliament

Bojan Evkoski, Senja Pollak

The work covers the development and explainability of machine learning models for predicting political leanings through parliamentary transcriptions. We concentrate on the Slovenia…