4 citations · 8 across the 6 of their papers we have counts for
6 papers
Reliable or Deceptive? Investigating Gated Features for Smooth Visual Explanations in CNNs
Soham Mitra, Atri Sukul, Swalpa Kumar Roy +2
Deep learning models have achieved remarkable success across diverse domains. However, the intricate nature of these models often impedes a clear understanding of their decision-ma…
LG-Traj: LLM Guided Pedestrian Trajectory Prediction
Pranav Singh Chib, Pravendra Singh
Accurate pedestrian trajectory prediction is crucial for various applications, and it requires a deep understanding of pedestrian motion patterns in dynamic environments. However,…
Data efficient deep learning for medical image analysis: A survey
Suruchi Kumari, Pravendra Singh
The rapid evolution of deep learning has significantly advanced the field of medical image analysis. However, despite these achievements, the further enhancement of deep learning m…
Improving Trajectory Prediction in Dynamic Multi-Agent Environment by Dropping Waypoints
Pranav Singh Chib, Pravendra Singh
The inherently diverse and uncertain nature of trajectories presents a formidable challenge in accurately modeling them. Motion prediction systems must effectively learn spatial an…
Deep learning for unsupervised domain adaptation in medical imaging: Recent advancements and future perspectives
Suruchi Kumari, Pravendra Singh
Deep learning has demonstrated remarkable performance across various tasks in medical imaging. However, these approaches primarily focus on supervised learning, assuming that the t…
DILF-EN framework for Class-Incremental Learning
Mohammed Asad Karim, Indu Joshi, Pratik Mazumder +1
Deep learning models suffer from catastrophic forgetting of the classes in the older phases as they get trained on the classes introduced in the new phase in the class-incremental…