output
20122026
most citedQuality at a Glance: An Audit of Web-Crawled Multilingual Datasets

177 citations

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29 papers · 1 filter

cs.CV2025

A Novel Multi-branch ConvNeXt Architecture for Identifying Subtle Pathological Features in CT Scans

Irash Perera, Uthayasanker Thayasivam

Intelligent analysis of medical imaging plays a crucial role in assisting clinical diagnosis, especially for identifying subtle pathological features. This paper introduces a novel…

cs.CV2025

Predicting Penalty Kick Direction Using Multi-Modal Deep Learning with Pose-Guided Attention

Pasindu Ranasinghe, Pamudu Ranasinghe

Penalty kicks often decide championships, yet goalkeepers must anticipate the kicker's intent from subtle biomechanical cues within a very short time window. This study introduces…

cs.CV2025

STAGNet: A Spatio-Temporal Graph and LSTM Framework for Accident Anticipation

Vipooshan Vipulananthan, Kumudu Mohottala, Kavindu Chinthana +2

Accident prediction and timely preventive actions improve road safety by reducing the risk of injury to road users and minimizing property damage. Hence, they are critical componen…

cs.CV2025

Domain-Agnostic Feature Modulation for Semi-Supervised Domain Generalization

Venuri Amarasinghe, Kalinga Bandara, Isun Randila +3

Semi-supervised domain generalization (SSDG) leverages a small fraction of labeled data alongside unlabeled data to enhance model generalization. Most of the existing SSDG methods…

cs.CV2024★ 1 cited

Comparative Evaluation of Traditional and Deep Learning-Based Segmentation Methods for Spoil Pile Delineation Using UAV Images

Sureka Thiruchittampalam, Bikram P. Banerjee, Nancy F. Glenn +1

The stability of mine dumps is contingent upon the precise arrangement of spoil piles, taking into account their geological and geotechnical attributes. Yet, on-site characterisati…

cs.CV2024★ 4 cited

Moving Object Based Collision-Free Video Synopsis

Anton Jeran Ratnarajah, Sahani Goonetilleke, Dumindu Tissera +2

Video synopsis, summarizing a video to generate a shorter video by exploiting the spatial and temporal redundancies, is important for surveillance and archiving. Existing trajector…