18 citations · 72 across the 20 of their papers we have counts for
19 papers · 1 filter
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…
T-CLIP: Enabling Thermal Perception for Contrastive Language-Image Pretraining
Tayeba Qazi, Ayush Maheshwari, Prerana Mukherjee +1
Thermal imaging offers a powerful alternative to visible-spectrum vision under challenging conditions such as low illumination and adverse weather, yet foundational vision-language…
OCFormer: One-Class Transformer Network for Image Classification
Prerana Mukherjee, Chandan Kumar Roy, Swalpa Kumar Roy
We propose a novel deep learning framework based on Vision Transformers (ViT) for one-class classification. The core idea is to use zero-centered Gaussian noise as a pseudo-negativ…
ASOC: Adaptive Self-aware Object Co-localization
Koteswar Rao Jerripothula, Prerana Mukherjee
The primary goal of this paper is to localize objects in a group of semantically similar images jointly, also known as the object co-localization problem. Most related existing wor…
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…
Generating Out of Distribution Adversarial Attack using Latent Space Poisoning
Ujjwal Upadhyay, Prerana Mukherjee
Traditional adversarial attacks rely upon the perturbations generated by gradients from the network which are generally safeguarded by gradient guided search to provide an adversar…
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…
Multi-level Attention network using text, audio and video for Depression Prediction
Anupama Ray, Siddharth Kumar, Rutvik Reddy +2
Depression has been the leading cause of mental-health illness worldwide. Major depressive disorder (MDD), is a common mental health disorder that affects both psychologically as w…
A Light weight and Hybrid Deep Learning Model based Online Signature Verification
Chandra Sekhar V., Anoushka Doctor, Prerana Mukherjee +1
The augmented usage of deep learning-based models for various AI related problems are as a result of modern architectures of deeper length and the availability of voluminous interp…
Online Signature Verification Based on Writer Specific Feature Selection and Fuzzy Similarity Measure
Chandra Sekhar, Prerana Mukherjee, D. S. Guru +1
Online Signature Verification (OSV) is a widely used biometric attribute for user behavioral characteristic verification in digital forensics. In this manuscript, owing to large in…
OSVNet: Convolutional Siamese Network for Writer Independent Online Signature Verification
Chandra Sekhar, Prerana Mukherjee, Devanur S Guru +1
Online signature verification (OSV) is one of the most challenging tasks in writer identification and digital forensics. Owing to the large intra-individual variability, there is a…
VayuAnukulani: Adaptive Memory Networks for Air Pollution Forecasting
Divyam Madaan, Radhika Dua, Prerana Mukherjee +1
Air pollution is the leading environmental health hazard globally due to various sources which include factory emissions, car exhaust and cooking stoves. As a precautionary measure…
DSAL-GAN: Denoising based Saliency Prediction with Generative Adversarial Networks
Prerana Mukherjee, Manoj Sharma, Megh Makwana +5
Synthesizing high quality saliency maps from noisy images is a challenging problem in computer vision and has many practical applications. Samples generated by existing techniques…
Nrityantar: Pose oblivious Indian classical dance sequence classification system
Vinay Kaushik, Prerana Mukherjee, Brejesh Lall
In this paper, we attempt to advance the research work done in human action recognition to a rather specialized application namely Indian Classical Dance (ICD) classification. The…
Object cosegmentation using deep Siamese network
Prerana Mukherjee, Brejesh Lall, Snehith Lattupally
Object cosegmentation addresses the problem of discovering similar objects from multiple images and segmenting them as foreground simultaneously. In this paper, we propose a novel…
Enhanced Characterness for Text Detection in the Wild
Aarushi Agrawal, Prerana Mukherjee, Siddharth Srivastava +1
Text spotting is an interesting research problem as text may appear at any random place and may occur in various forms. Moreover, ability to detect text opens the horizons for impr…
Object Classification using Ensemble of Local and Deep Features
Siddharth Srivastava, Prerana Mukherjee, Brejesh Lall +1
In this paper we propose an ensemble of local and deep features for object classification. We also compare and contrast effectiveness of feature representation capability of variou…
SalProp: Salient object proposals via aggregated edge cues
Prerana Mukherjee, Brejesh Lall, Sarvaswa Tandon
In this paper, we propose a novel object proposal generation scheme by formulating a graph-based salient edge classification framework that utilizes the edge context. In the propos…
Benchmarking KAZE and MCM for Multiclass Classification
Siddharth Srivastava, Prerana Mukherjee, Brejesh Lall
In this paper, we propose a novel approach for feature generation by appropriately fusing KAZE and SIFT features. We then use this feature set along with Minimal Complexity Machine…