20 citations · 32 across the 16 of their papers we have counts for
16 papers
Towards Robust Cross-Dataset Object Detection Generalization under Domain Specificity
Ritabrata Chakraborty, Hrishit Mitra, Shivakumara Palaiahnakote +1
Object detectors often perform well in-distribution, yet degrade sharply on a different benchmark. We study cross-dataset object detection (CD-OD) through a lens of setting specifi…
Degradation-Consistent Learning via Bidirectional Diffusion for Low-Light Image Enhancement
Jinhong He, Minglong Xue, Zhipu Liu +3
Low-light image enhancement aims to improve the visibility of degraded images to better align with human visual perception. While diffusion-based methods have shown promising perfo…
DFDNet: Dynamic Frequency-Guided De-Flare Network
Minglong Xue, Aoxiang Ning, Shivakumara Palaiahnakote +1
Strong light sources in nighttime photography frequently produce flares in images, significantly degrading visual quality and impacting the performance of downstream tasks. While s…
A Transformer Based Handwriting Recognition System Jointly Using Online and Offline Features
Ayush Lodh, Ritabrata Chakraborty, Shivakumara Palaiahnakote +1
We posit that handwriting recognition benefits from complementary cues carried by the rasterized complex glyph and the pen's trajectory, yet most systems exploit only one modality.…
A Lightweight Context-Driven Training-Free Network for Scene Text Segmentation and Recognition
Ritabrata Chakraborty, Shivakumara Palaiahnakote, Umapada Pal +1
Modern scene text recognition systems often depend on large end-to-end architectures that require extensive training and are prohibitively expensive for real-time scenarios. In suc…
UR2P-Dehaze: Learning a Simple Image Dehaze Enhancer via Unpaired Rich Physical Prior
Minglong Xue, Shuaibin Fan, Shivakumara Palaiahnakote +1
Image dehazing techniques aim to enhance contrast and restore details, which are essential for preserving visual information and improving image processing accuracy. Existing metho…
Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model
Minglong Xue, Jinhong He, Shivakumara Palaiahnakote +1
Image restoration and enhancement are pivotal for numerous computer vision applications, yet unifying these tasks efficiently remains a significant challenge. Inspired by the itera…
Zero-Shot Low-Light Image Enhancement via Joint Frequency Domain Priors Guided Diffusion
Jinhong He, Shivakumara Palaiahnakote, Aoxiang Ning +1
Due to the singularity of real-world paired datasets and the complexity of low-light environments, this leads to supervised methods lacking a degree of scene generalisation. Meanwh…
Vehicle Detection Performance in Nordic Region
Hamam Mokayed, Rajkumar Saini, Oluwatosin Adewumi +5
This paper addresses the critical challenge of vehicle detection in the harsh winter conditions in the Nordic regions, characterized by heavy snowfall, reduced visibility, and low…
Weakly Supervised Scene Text Generation for Low-resource Languages
Yangchen Xie, Xinyuan Chen, Hongjian Zhan +4
A large number of annotated training images is crucial for training successful scene text recognition models. However, collecting sufficient datasets can be a labor-intensive and c…
Robust and Fast Vehicle Detection using Augmented Confidence Map
Hamam Mokayed, Palaiahnakote Shivakumara, Lama Alkhaled +4
Vehicle detection in real-time scenarios is challenging because of the time constraints and the presence of multiple types of vehicles with different speeds, shapes, structures, et…
SGBANet: Semantic GAN and Balanced Attention Network for Arbitrarily Oriented Scene Text Recognition
Dajian Zhong, Shujing Lyu, Palaiahnakote Shivakumara +4
Scene text recognition is a challenging task due to the complex backgrounds and diverse variations of text instances. In this paper, we propose a novel Semantic GAN and Balanced At…
A New Unified Method for Detecting Text from Marathon Runners and Sports Players in Video
Sauradip Nag, Palaiahnakote Shivakumara, Umapada Pal +2
Detecting text located on the torsos of marathon runners and sports players in video is a challenging issue due to poor quality and adverse effects caused by flexible/colorful clot…
A New COLD Feature based Handwriting Analysis for Ethnicity/Nationality Identification
Sauradip Nag, Palaiahnakote Shivakumara, Wu Yirui +2
Identifying crime for forensic investigating teams when crimes involve people of different nationals is challenging. This paper proposes a new method for ethnicity (nationality) id…
Color and Gradient Features for Text Segmentation from Video Frames
P. Shivakumara, D. S. Guru, H. T. Basavaraju
Text segmentation in a video is drawing attention of researchers in the field of image processing, pattern recognition and document image analysis because it helps in annotating an…
Discrete Wavelet Transform and Gradient Difference based approach for text localization in videos
B. H. Shekar, Smitha M. L., P. Shivakumara
The text detection and localization is important for video analysis and understanding. The scene text in video contains semantic information and thus can contribute significantly t…