9 citations · 12 across the 12 of their papers we have counts for
23 papers
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…
SPLAL: Similarity-based pseudo-labeling with alignment loss for semi-supervised medical image classification
Md Junaid Mahmood, Pranaw Raj, Divyansh Agarwal +2
Medical image classification is a challenging task due to the scarcity of labeled samples and class imbalance caused by the high variance in disease prevalence. Semi-supervised lea…
Recent Advancements in End-to-End Autonomous Driving using Deep Learning: A Survey
Pranav Singh Chib, Pravendra Singh
End-to-End driving is a promising paradigm as it circumvents the drawbacks associated with modular systems, such as their overwhelming complexity and propensity for error propagati…
Attaining Class-level Forgetting in Pretrained Model using Few Samples
Pravendra Singh, Pratik Mazumder, Mohammed Asad Karim
In order to address real-world problems, deep learning models are jointly trained on many classes. However, in the future, some classes may become restricted due to privacy/ethical…
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…