Outputs (21)

Soft set-based MSER end-to-end system for occluded scene text detection, recognition and prediction (2024)
Journal Article
Das, A., Palaiahnakote, S., Banerjee, A., Antonacopoulos, A., & Pal, U. (2024). Soft set-based MSER end-to-end system for occluded scene text detection, recognition and prediction. Knowledge-Based Systems, https://doi.org/10.1016/j.knosys.2024.112593

The presence of unpredictable occlusions on natural scene text is a significant challenge, exacerbating the difficulties already posed on text detection and recognition by the variability of such images. Addressing the need for a robust, consistently... Read More about Soft set-based MSER end-to-end system for occluded scene text detection, recognition and prediction.

A Newly Adopted YOLOv9 Model for Detecting Mould Regions Inside of Buildings (2024)
Journal Article

Molds on wall and ceiling surfaces in damp indoor environments especially in houses with poor insulation and ventilation are common in the UK. Since it releases toxic chemicals as it grows, it is a serious health hazard for occupants who live in such... Read More about A Newly Adopted YOLOv9 Model for Detecting Mould Regions Inside of Buildings.

A Novel Infogain and Multi-Axial Wavelet-Based Transformer for Personality Trait Question Answering (2024)
Journal Article
Biswas, K., Palaiahnakote, S., Bhattacharya, S., Pal, U., & Sarkar, R. (2024). A Novel Infogain and Multi-Axial Wavelet-Based Transformer for Personality Trait Question Answering. International Journal of Pattern Recognition and Artificial Intelligence, https://doi.org/10.1142/s0218001424510236

Visual Question Answering (VQA) is one of the attractive topics in the field of multimedia, affective, and empathic computing to garner user interest. Unlike existing models which aim at addressing challenges of VQA for the scene images, this work ai... Read More about A Novel Infogain and Multi-Axial Wavelet-Based Transformer for Personality Trait Question Answering.

Spatial-Frequency Based EEG Features for Classification of Human Emotions (2024)
Journal Article

Human emotion classification without bias and unfairness is challenging because most existing image-based methods are directly or indirectly affected by subjectivity. Therefore, we propose an EEG (Electroencephalogram) based model for an accurate emo... Read More about Spatial-Frequency Based EEG Features for Classification of Human Emotions.

Domain‐independent adaptive histogram‐based features for pomegranate fruit and leaf diseases classification (2024)
Journal Article
Prajwala, M., Palaiahnakote, S., Prajwal Kumar, P., Maheshwarappa Gopinath, S., Basavanna, M., & P. Lopresti, D. (2024). Domain‐independent adaptive histogram‐based features for pomegranate fruit and leaf diseases classification. CAAI Transactions on Intelligence Technology, https://doi.org/10.1049/cit2.12390

Disease identification for fruits and leaves in the field of agriculture is important for estimating production, crop yield and earnings for farmers. In the specific case of pomegranates, this is challenging because of the wide range of possible dise... Read More about Domain‐independent adaptive histogram‐based features for pomegranate fruit and leaf diseases classification.

A Comprehensive Review on Text Detection and Recognition in Scene Images (2024)
Journal Article

Detecting and recognizing text in natural scene images and videos is vital for several real-world applications, such as in the analysis of Crime scene CCTV footage, sports videos, and autonomous driving, to name a few. Therefore, one can expect sever... Read More about A Comprehensive Review on Text Detection and Recognition in Scene Images.

A New Contrastive Learning-Based Vision Transformer for Sentiment Analysis Using Scene Text Images (2024)
Journal Article
Palaiahnakote, S., Kapri, D., Saleem, M. H., & Pal, U. (2024). A New Contrastive Learning-Based Vision Transformer for Sentiment Analysis Using Scene Text Images. International Journal of Pattern Recognition and Artificial Intelligence, https://doi.org/10.1142/s0218001424520293

Sentiment analysis using scene text images is complex and challenging because it has an arbitrary background, and the method should rely on only visual features. Unlike most existing methods that use either text or images or both, this study uses onl... Read More about A New Contrastive Learning-Based Vision Transformer for Sentiment Analysis Using Scene Text Images.

Oil Palm Tree Detection in UAV Imagery Using an Enhanced RetinaNet (2024)
Journal Article

21 Accurate inventory management of oil palm trees is crucial for optimizing yield and monitoring 22 the health and growth of plantations. However, detecting and counting oil palm trees, particularly 23 young trees that blend into complex environment... Read More about Oil Palm Tree Detection in UAV Imagery Using an Enhanced RetinaNet.

A novel domain independent scene text localizer (2024)
Journal Article

Text localization across multiple domains is crucial for applications like autonomous driving and tracking marathon runners. This work introduces DIPCYT, a novel model that utilizes Domain Independent Partial Convolution and a Yolov5-based Transforme... Read More about A novel domain independent scene text localizer.

A New Symmetry-Based Transformer for Text Spotting in Person and Vehicle Re-Identification Images (2024)
Journal Article
Choudhury, A. P., Palaiahnakote, S., & Pal, U. (2024). A New Symmetry-Based Transformer for Text Spotting in Person and Vehicle Re-Identification Images. International Journal of Pattern Recognition and Artificial Intelligence, https://doi.org/10.1142/s0218001424550115

Text spotting in person and vehicle re-identification images is complex due to the presence of multiple views of the same person and vehicle. Most existing models focus on text spotting in natural scene images, our work focuses on spotting in person... Read More about A New Symmetry-Based Transformer for Text Spotting in Person and Vehicle Re-Identification Images.