activity
20182021
most citedJoint Visual Semantic Reasoning: Multi-Stage Decoder for Text Recognition

4 citations · 7 across the 2 of their papers we have counts for

collaborators
Showing cs.CVShow all

8 papers · 1 filter

cs.CV2024

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…

cs.CV2024

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…

cs.CV20214 cited

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…

cs.CV20213 cited

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…

cs.CV2020

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…

cs.CV2020

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…