6 citations · 7 across the 8 of their papers we have counts for
10 papers
DGSSM: Diffusion guided state-space models for multimodal salient object detection
Suklav Ghosh, Arijit Sur, Pinaki Mitra
Salient object detection (SOD) requires modeling both long-range contextual dependencies and fine-grained structural details, which remains challenging for convolutional, transform…
A Generative Adversarial Approach to Adversarial Attacks Guided by Contrastive Language-Image Pre-trained Model
Sampriti Soor, Alik Pramanick, Jothiprakash K +1
The rapid growth of deep learning has brought about powerful models that can handle various tasks, like identifying images and understanding language. However, adversarial attacks,…
Trans-defense: Transformer-based Denoiser for Adversarial Defense with Spatial-Frequency Domain Representation
Alik Pramanick, Mayank Bansal, Utkarsh Srivastava +2
In recent times, deep neural networks (DNNs) have been successfully adopted for various applications. Despite their notable achievements, it has become evident that DNNs are vulner…
C-LEAD: Contrastive Learning for Enhanced Adversarial Defense
Suklav Ghosh, Sonal Kumar, Arijit Sur
Deep neural networks (DNNs) have achieved remarkable success in computer vision tasks such as image classification, segmentation, and object detection. However, they are vulnerable…
Funnel-HOI: Top-Down Perception for Zero-Shot HOI Detection
Sandipan Sarma, Agney Talwarr, Arijit Sur
Human-object interaction detection (HOID) refers to localizing interactive human-object pairs in images and identifying the interactions. Since there could be an exponential number…
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer
Alik Pramanick, Utsav Bheda, Arijit Sur
Recently, transformers have captured significant interest in the area of single-image super-resolution tasks, demonstrating substantial gains in performance. Current models heavily…
Harnessing Multi-resolution and Multi-scale Attention for Underwater Image Restoration
Alik Pramanick, Arijit Sur, V. Vijaya Saradhi
Underwater imagery is often compromised by factors such as color distortion and low contrast, posing challenges for high-level vision tasks. Recent underwater image restoration (UI…
Zero-Shot Underwater Gesture Recognition
Sandipan Sarma, Gundameedi Sai Ram Mohan, Hariansh Sehgal +1
Hand gesture recognition allows humans to interact with machines non-verbally, which has a huge application in underwater exploration using autonomous underwater vehicles. Recently…
Segmentation of tibiofemoral joint tissues from knee MRI using MtRA-Unet and incorporating shape information: Data from the Osteoarthritis Initiative
Akshay Daydar, Alik Pramanick, Arijit Sur +1
Knee Osteoarthritis (KOA) is the third most prevalent Musculoskeletal Disorder (MSD) after neck and back pain. To monitor such a severe MSD, a segmentation map of the femur, tibia…
DatUS^2: Data-driven Unsupervised Semantic Segmentation with Pre-trained Self-supervised Vision Transformer
Sonal Kumar, Arijit Sur, Rashmi Dutta Baruah
Successive proposals of several self-supervised training schemes continue to emerge, taking one step closer to developing a universal foundation model. In this process, the unsuper…