30 citations · 40 across the 6 of their papers we have counts for
8 papers
CLIP-based Point Cloud Classification via Point Cloud to Image Translation
Shuvozit Ghose, Manyi Li, Yiming Qian +1
Point cloud understanding is an inherently challenging problem because of the sparse and unordered structure of the point cloud in the 3D space. Recently, Contrastive Vision-Langua…
Meta Episodic learning with Dynamic Task Sampling for CLIP-based Point Cloud Classification
Shuvozit Ghose, Yang Wang
Point cloud classification refers to the process of assigning semantic labels or categories to individual points within a point cloud data structure. Recent works have explored the…
Joint Visual Semantic Reasoning: Multi-Stage Decoder for Text Recognition
Ayan Kumar Bhunia, Aneeshan Sain, Amandeep Kumar +3
Although text recognition has significantly evolved over the years, state-of-the-art (SOTA) models still struggle in the wild scenarios due to complex backgrounds, varying fonts, u…
MetaHTR: Towards Writer-Adaptive Handwritten Text Recognition
Ayan Kumar Bhunia, Shuvozit Ghose, Amandeep Kumar +3
Handwritten Text Recognition (HTR) remains a challenging problem to date, largely due to the varying writing styles that exist amongst us. Prior works however generally operate wit…
UDBNET: Unsupervised Document Binarization Network via Adversarial Game
Amandeep Kumar, Shuvozit Ghose, Pinaki Nath Chowdhury +2
Degraded document image binarization is one of the most challenging tasks in the domain of document image analysis. In this paper, we present a novel approach towards document imag…
Modeling Extent-of-Texture Information for Ground Terrain Recognition
Shuvozit Ghose, Pinaki Nath Chowdhury, Partha Pratim Roy +1
Ground Terrain Recognition is a difficult task as the context information varies significantly over the regions of a ground terrain image. In this paper, we propose a novel approac…
A Deep One-Shot Network for Query-based Logo Retrieval
Ayan Kumar Bhunia, Ankan Kumar Bhunia, Shuvozit Ghose +3
Logo detection in real-world scene images is an important problem with applications in advertisement and marketing. Existing general-purpose object detection methods require large…
User Constrained Thumbnail Generation using Adaptive Convolutions
Perla Sai Raj Kishore, Ayan Kumar Bhunia, Shuvozit Ghose +1
Thumbnails are widely used all over the world as a preview for digital images. In this work we propose a deep neural framework to generate thumbnails of any size and aspect ratio,…