activity
20132026
most citedDeep Learning for Unsupervised Anomaly Localization in Industrial Images: A Survey

216 citations · 360 across the 30 of their papers we have counts for

collaborators
Showing cs.CVShow all

12 papers · 1 filter

cs.CV2026

From Visual Feedback to Textual Reviews: A Multi-Agent Vision-Language Framework for Image-Grounded Review Assistance

Utsav Kumar Nareti, Ayush Bansal, Kumari Priya +4

Visual feedback in the form of user-uploaded images and videos is becoming increasingly common in e-commerce platforms because it provides authentic evidence of product quality, de…

cs.CV2026

From Visual Attribution to Clinical Reasoning: Explainable Parkinson's Disease Screening from Hand-Drawn Patterns

Aritra Dey, Utsav Kumar Nareti, Chandranath Adak +3

Parkinson's disease (PD) manifests early neuromotor impairments that become observable in controlled hand-drawn patterns such as spirals and meanders, where tremor-induced oscillat…

cs.CV2025★ 1 cited

RDD4D: 4D Attention-Guided Road Damage Detection And Classification

Asma Alkalbani, Muhammad Saqib, Ahmed Salim Alrawahi +3

Road damage detection and assessment are crucial components of infrastructure maintenance. However, current methods often struggle with detecting multiple types of road damage in a…

cs.CV2023★ 32 cited

Detecting Severity of Diabetic Retinopathy from Fundus Images: A Transformer Network-based Review

Tejas Karkera, Chandranath Adak, Soumi Chattopadhyay +1

Diabetic Retinopathy (DR) is considered one of the significant concerns worldwide, primarily due to its impact on causing vision loss among most people with diabetes. The severity…

cs.CV2022★ 216 cited

Deep Learning for Unsupervised Anomaly Localization in Industrial Images: A Survey

Xian Tao, Xinyi Gong, Xin Zhang +2

Currently, deep learning-based visual inspection has been highly successful with the help of supervised learning methods. However, in real industrial scenarios, the scarcity of def…

cs.CV2022

Deep Analysis of Visual Product Reviews

Chandranath Adak, Soumi Chattopadhyay, Muhammad Saqib

With the proliferation of the e-commerce industry, analyzing customer feedback is becoming indispensable to a service provider. In recent days, it can be noticed that customers upl…

cs.CV2019★ 14 cited

Intra-Variable Handwriting Inspection Reinforced with Idiosyncrasy Analysis

Chandranath Adak, Bidyut B. Chaudhuri, Chin-Teng Lin +1

In this paper, we work on intra-variable handwriting, where the writing samples of an individual can vary significantly. Such within-writer variation throws a challenge for automat…

cs.CV2017★ 43 cited

An Empirical Study on Writer Identification & Verification from Intra-variable Individual Handwriting

Chandranath Adak, Bidyut B. Chaudhuri, Michael Blumenstein

The handwriting of an individual may vary substantially with factors such as mood, time, space, writing speed, writing medium and tool, writing topic, etc. It becomes challenging t…

cs.CV2014

Text Line Identification in Tagore's Manuscript

Chandranath Adak, Bidyut B. Chaudhuri

In this paper, a text line identification method is proposed. The text lines of printed document are easy to segment due to uniform straightness of the lines and sufficient gap bet…

cs.CV2014★ 14 cited

Gabor Filter and Rough Clustering Based Edge Detection

Chandranath Adak

This paper introduces an efficient edge detection method based on Gabor filter and rough clustering. The input image is smoothed by Gabor function, and the concept of rough cluster…

cs.CV2014★ 2 cited

Unsupervised Text Extraction from G-Maps

Chandranath Adak

This paper represents an text extraction method from Google maps, GIS maps/images. Due to an unsupervised approach there is no requirement of any prior knowledge or training set ab…

cs.CV2014★ 4 cited

Rough Clustering Based Unsupervised Image Change Detection

Chandranath Adak

This paper introduces an unsupervised technique to detect the changed region of multitemporal images on a same reference plane with the help of rough clustering. The proposed techn…