66 citations · 308 across the 39 of their papers we have counts for
44 papers
Text2Thermal: Physics-Aware Thermal Image Synthesis from Textual Priors
Tayeba Qazi, Brejesh Lall, Prerana Mukherjee
Thermal infrared imaging offers reliable perception in darkness and adverse weather, but thermal datasets remain scarce, motivating extensive work on translating abundant RGB image…
Stride-Net: Fairness-Aware Disentangled Representation Learning for Chest X-Ray Diagnosis
Darakshan Rashid, Raza Imam, Dwarikanath Mahapatra +1
Deep neural networks for chest X-ray classification achieve strong average performance, yet often underperform for specific demographic subgroups, raising critical concerns about c…
Generative QoE Modeling: A Lightweight Approach for Telecom Networks
Vinti Nayar, Kanica Sachdev, Brejesh Lall
Quality of Experience (QoE) prediction plays a crucial role in optimizing resource management and enhancing user satisfaction across both telecommunication and OTT services. While…
DiffSTR: Controlled Diffusion Models for Scene Text Removal
Sanhita Pathak, Vinay Kaushik, Brejesh Lall
To prevent unauthorized use of text in images, Scene Text Removal (STR) has become a crucial task. It focuses on automatically removing text and replacing it with a natural, text-l…
A Comprehensive Survey on Synthetic Infrared Image synthesis
Avinash Upadhyay, Manoj sharma, Prerana Mukherjee +2
Synthetic infrared (IR) scene and target generation is an important computer vision problem as it allows the generation of realistic IR images and targets for training and testing…
GraVITON: Graph based garment warping with attention guided inversion for Virtual-tryon
Sanhita Pathak, Vinay Kaushik, Brejesh Lall
Virtual try-on, a rapidly evolving field in computer vision, is transforming e-commerce by improving customer experiences through precise garment warping and seamless integration o…
Single Stage Warped Cloth Learning and Semantic-Contextual Attention Feature Fusion for Virtual TryOn
Sanhita Pathak, Vinay Kaushik, Brejesh Lall
Image-based virtual try-on aims to fit an in-shop garment onto a clothed person image. Garment warping, which aligns the target garment with the corresponding body parts in the per…
On the Optimal Beamwidth of UAV-Assisted Networks Operating at Millimeter Waves
Manishika Rawat, Marco Giordani, Brejesh Lall +2
The millimeter-wave (mm-wave) bands enable very large antenna arrays that can generate narrow beams for beamforming and spatial multiplexing. However, directionality introduces bea…
Matrix Adaptive Synthesis Filter for Uniform Filter Bank
Sandeep Patel, Ravindra Dhuli, Brejesh Lall
In this paper, we use a matrix adaptive filter as the synthesis stage of a Uniform Filter Bank (UFB) to reconstruct the input signal. We first develop the mathematical theory behin…
MaskMTL: Attribute prediction in masked facial images with deep multitask learning
Prerana Mukherjee, Vinay Kaushik, Ronak Gupta +3
Predicting attributes in the landmark free facial images is itself a challenging task which gets further complicated when the face gets occluded due to the usage of masks. Smart ac…
Attention-based Estimation and Prediction of Human Intent to augment Haptic Glove aided Control of Robotic Hand
Muneeb Ahmed, Rajesh Kumar, Qaim Abbas +3
The letter focuses on Haptic Glove (HG) based control of a Robotic Hand (RH) executing in-hand manipulation of certain objects of interest. The high dimensional motion signals in H…
Deep Learning for Automated Screening of Tuberculosis from Indian Chest X-rays: Analysis and Update
Anushikha Singh, Brejesh Lall, B. K. Panigrahi +4
Background and Objective: Tuberculosis (TB) is a significant public health issue and a leading cause of death worldwide. Millions of deaths can be averted by early diagnosis and su…
Deep LF-Net: Semantic Lung Segmentation from Indian Chest Radiographs Including Severely Unhealthy Images
Anushikha Singh, Brejesh Lall, B. K. Panigrahi +4
A chest radiograph, commonly called chest x-ray (CxR), plays a vital role in the diagnosis of various lung diseases, such as lung cancer, tuberculosis, pneumonia, and many more. Au…
Neural Compound-Word (Sandhi) Generation and Splitting in Sanskrit Language
Sushant Dave, Arun Kumar Singh, Prathosh A. P. +1
This paper describes neural network based approaches to the process of the formation and splitting of word-compounding, respectively known as the Sandhi and Vichchhed, in Sanskrit…
A Benchmark Corpus and Neural Approach for Sanskrit Derivative Nouns Analysis
Arun Kumar Singh, Sushant Dave, Prathosh A. P. +2
This paper presents first benchmark corpus of Sanskrit Pratyaya (suffix) and inflectional words (padas) formed due to suffixes along with neural network based approaches to process…
6G for Bridging the Digital Divide: Wireless Connectivity to Remote Areas
Abdelaali Chaoub, Marco Giordani, Brejesh Lall +9
In telecommunications, network service accessibility as a requirement is closely related to equitably serving the population residing at locations that can most appropriately be de…
Semantics Preserving Hierarchy based Retrieval of Indian heritage monuments
Ronak Gupta, Prerana Mukherjee, Brejesh Lall +1
Monument classification can be performed on the basis of their appearance and shape from coarse to fine categories. Although there is much semantic information present in the monum…
PerceptionGAN: Real-world Image Construction from Provided Text through Perceptual Understanding
Kanish Garg, Ajeet kumar Singh, Dorien Herremans +1
Generating an image from a provided descriptive text is quite a challenging task because of the difficulty in incorporating perceptual information (object shapes, colors, and their…
Image fusion using symmetric skip autoencodervia an Adversarial Regulariser
Snigdha Bhagat, S. D. Joshi, Brejesh Lall
It is a challenging task to extract the best of both worlds by combining the spatial characteristics of a visible image and the spectral content of an infrared image. In this work,…
Deep feature fusion for self-supervised monocular depth prediction
Vinay Kaushik, Brejesh Lall
Recent advances in end-to-end unsupervised learning has significantly improved the performance of monocular depth prediction and alleviated the requirement of ground truth depth. A…
A 6G White Paper on Connectivity for Remote Areas
Harri Saarnisaari, Sudhir Dixit, Mohamed-Slim Alouini +31
In many places all over the world rural and remote areas lack proper connectivity that has led to increasing digital divide. These areas might have low population density, low inco…
Compressive sensing based privacy for fall detection
Ronak Gupta, Prashant Anand, Santanu Chaudhury +2
Fall detection holds immense importance in the field of healthcare, where timely detection allows for instant medical assistance. In this context, we propose a 3D ConvNet architect…
Aerial multi-object tracking by detection using deep association networks
Ajit Jadhav, Prerana Mukherjee, Vinay Kaushik +1
A lot a research is focused on object detection and it has achieved significant advances with deep learning techniques in recent years. Inspite of the existing research, these algo…
Analysis of Signals via Non-Maximally Decimated Non-Uniform Filter Banks
Sandeep Patel, Ravindra Dhuli, Brejesh Lall
This paper addresses the important problem of reconstructing a signal from multiple multirate observations. The observations are modeled as the output of an analysis bank, and time…