2 citations · 2 across the 5 of their papers we have counts for
5 papers
Local-Global Context-Aware and Structure-Preserving Image Super-Resolution
Sanchar Palit, Subhasis Chaudhuri, Biplab Banerjee
Diffusion models have recently achieved significant success in various image manipulation tasks, including image super-resolution and perceptual quality enhancement. Pretrained tex…
Revised Regularization for Efficient Continual Learning through Correlation-Based Parameter Update in Bayesian Neural Networks
Sanchar Palit, Biplab Banerjee, Subhasis Chaudhuri
We propose a Bayesian neural network-based continual learning algorithm using Variational Inference, aiming to overcome several drawbacks of existing methods. Specifically, in cont…
Hardware-Friendly Diffusion Models with Fixed-Size Reusable Structures for On-Device Image Generation
Sanchar Palit, Sathya Veera Reddy Dendi, Mallikarjuna Talluri +1
Vision Transformers and U-Net architectures have been widely adopted in the implementation of Diffusion Models. However, each architecture presents specific challenges while realiz…
A Fusion of Variational Distribution Priors and Saliency Map Replay for Continual 3D Reconstruction
Sanchar Palit, Sandika Biswas
Single-image 3D reconstruction is a research challenge focused on predicting 3D object shapes from single-view images. This task requires significant data acquisition to predict bo…
Prototypical quadruplet for few-shot class incremental learning
Sanchar Palit, Biplab Banerjee, Subhasis Chaudhuri
Scarcity of data and incremental learning of new tasks pose two major bottlenecks for many modern computer vision algorithms. The phenomenon of catastrophic forgetting, i.e., the m…