8 citations · 10 across the 10 of their papers we have counts for
10 papers
FAIR: Feature-Augmented Implicit Regularization for AI-generated Fake Image Detection
Md Redwanul Haque, Manzur Murshed, Manoranjan Paul +1
Generalization remains a critical bottleneck in AI-generated image detection. Because many modern generators are proprietary or adversarially modified, existing detectors overfit t…
A Novel Image Similarity Metric for Scene Composition Structure
Md Redwanul Haque, Manzur Murshed, Manoranjan Paul +1
The rapid advancement of generative AI models necessitates novel methods for evaluating image quality that extend beyond human perception. A critical concern for these models is th…
ReflectGAN: Modeling Vegetation Effects for Soil Carbon Estimation from Satellite Imagery
Dristi Datta, Manoranjan Paul, Manzur Murshed +2
Soil organic carbon (SOC) is a critical indicator of soil health, but its accurate estimation from satellite imagery is hindered in vegetated regions due to spectral contamination…
FSDR: A Novel Deep Learning-based Feature Selection Algorithm for Pseudo Time-Series Data using Discrete Relaxation
Mohammad Rahman, Manzur Murshed, Shyh Wei Teng +1
Conventional feature selection algorithms applied to Pseudo Time-Series (PTS) data, which consists of observations arranged in sequential order without adhering to a conventional t…
A Guide to Employ Hyperspectral Imaging for Assessing Wheat Quality at Different Stages of Supply Chain in Australia: A Review
Priyabrata Karmakar, Shyh Wei Teng. Manzur Murshed, Paul Pang +1
Wheat is one of the major staple crops across the globe. Therefore, it is mandatory to measure, maintain and improve the wheat quality for human consumption. Traditional wheat qual…
Efficient Motion Modelling with Variable-sized blocks from Hierarchical Cuboidal Partitioning
Priyabrata Karmakar, Manzur Murshed, Manoranjan Paul +1
Motion modelling with block-based architecture has been widely used in video coding where a frame is divided into fixed-sized blocks that are motion compensated independently. This…
A new way of video compression via forward-referencing using deep learning
S. M. A. K. Rajin, M. Murshed, M. Paul +2
To exploit high temporal correlations in video frames of the same scene, the current frame is predicted from the already-encoded reference frames using block-based motion estimatio…
Human-Machine Collaborative Video Coding Through Cuboidal Partitioning
Ashek Ahmmed, Manoranjan Paul, Manzur Murshed +1
Video coding algorithms encode and decode an entire video frame while feature coding techniques only preserve and communicate the most critical information needed for a given appli…
Depth Sequence Coding with Hierarchical Partitioning and Spatial-domain Quantisation
Shampa Shahriyar, Manzur Murshed, Mortuza Ali +1
Depth coding in 3D-HEVC for the multiview video plus depth (MVD) architecture (i) deforms object shapes due to block-level edge-approximation; (ii) misses an opportunity for high c…
Modified Rice-Golomb Code for Predictive Coding of Integers with Real-valued Predictions
Mortuza Ali, Manzur Murshed
Rice-Golomb codes are widely used in practice to encode integer-valued prediction residuals. However, in lossless coding of audio, image, and video, specially those involving linea…