1 citations · 2 across the 14 of their papers we have counts for
14 papers
Stabilizing Camera-Controlled Novel View Synthesis at Inference Time
Prajwal Singh, Arjun Badola, Seema Kumari +2
Training-free, camera-controlled novel view synthesis from a single image using pre-trained video diffusion models often becomes unstable under large camera motion and long generat…
Hierarchic-EEG2Text: Assessing EEG-To-Text Decoding across Hierarchical Abstraction Levels
Anupam Sharma, Harish Katti, Prajwal Singh +2
An electroencephalogram (EEG) records the spatially averaged electrical activity of neurons in the brain, measured from the human scalp. Prior studies have explored EEG-based class…
Hand Shadow Art: A Differentiable Rendering Perspective
Aalok Gangopadhyay, Prajwal Singh, Ashish Tiwari +1
Shadow art is an exciting form of sculptural art that produces captivating artistic effects through the 2D shadows cast by 3D shapes. Hand shadows, also known as shadow puppetry or…
Beyond Reconstruction: What EEG-to-Video Decoding Actually Recovers
Prajwal Singh, Anupam Sharma, Pankaj Pandey +2
Reconstructing dynamic visual stimuli from EEG recordings is challenging due to the noisy, non-stationary nature of EEG signals and the limited availability of EEG-video datasets.…
BloomCoreset: Fast Coreset Sampling using Bloom Filters for Fine-Grained Self-Supervised Learning
Prajwal Singh, Gautam Vashishtha, Indra Deep Mastan +1
The success of deep learning in supervised fine-grained recognition for domain-specific tasks relies heavily on expert annotations. The Open-Set for fine-grained Self-Supervised Le…
Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives
Prajwal Singh, Ashish Tiwari, Gautam Vashishtha +1
Neural radiance fields (NeRF) have revolutionized photorealistic rendering of novel views for 3D scenes. Despite their growing popularity and efficiency as 3D resources, NeRFs face…
Learning Robust Deep Visual Representations from EEG Brain Recordings
Prajwal Singh, Dwip Dalal, Gautam Vashishtha +2
Decoding the human brain has been a hallmark of neuroscientists and Artificial Intelligence researchers alike. Reconstruction of visual images from brain Electroencephalography (EE…
Search Me Knot, Render Me Knot: Embedding Search and Differentiable Rendering of Knots in 3D
Aalok Gangopadhyay, Paras Gupta, Tarun Sharma +2
We introduce the problem of knot-based inverse perceptual art. Given multiple target images and their corresponding viewing configurations, the objective is to find a 3D knot-based…
Single Image LDR to HDR Conversion using Conditional Diffusion
Dwip Dalal, Gautam Vashishtha, Prajwal Singh +1
Digital imaging aims to replicate realistic scenes, but Low Dynamic Range (LDR) cameras cannot represent the wide dynamic range of real scenes, resulting in under-/overexposed imag…
A Graph Neural Network Approach for Temporal Mesh Blending and Correspondence
Aalok Gangopadhyay, Abhinav Narayan Harish, Prajwal Singh +1
We have proposed a self-supervised deep learning framework for solving the mesh blending problem in scenarios where the meshes are not in correspondence. To solve this problem, we…
EEG2IMAGE: Image Reconstruction from EEG Brain Signals
Prajwal Singh, Pankaj Pandey, Krishna Miyapuram +1
Reconstructing images using brain signals of imagined visuals may provide an augmented vision to the disabled, leading to the advancement of Brain-Computer Interface (BCI) technolo…
TreeGCN-ED: Encoding Point Cloud using a Tree-Structured Graph Network
Prajwal Singh, Kaustubh Sadekar, Shanmuganathan Raman
Point cloud is one of the widely used techniques for representing and storing 3D geometric data. In the past several methods have been proposed for processing point clouds. Methods…
APEX-Net: Automatic Plot Extractor Network
Aalok Gangopadhyay, Prajwal Singh, Shanmuganathan Raman
Automatic extraction of raw data from 2D line plot images is a problem of great importance having many real-world applications. Several algorithms have been proposed for solving th…
LS-HDIB: A Large Scale Handwritten Document Image Binarization Dataset
Kaustubh Sadekar, Ashish Tiwari, Prajwal Singh +1
Handwritten document image binarization is challenging due to high variability in the written content and complex background attributes such as page style, paper quality, stains, s…