activity
20172023
most citedOmni-Scale CNNs: a simple and effective kernel size configuration for time series classification

54 citations · 191 across the 16 of their papers we have counts for

collaborators

16 papers

cs.CV2023★ 3 cited

FASTER: A Font-Agnostic Scene Text Editing and Rendering Framework

Alloy Das, Sanket Biswas, Prasun Roy +5

Scene Text Editing (STE) is a challenging research problem, that primarily aims towards modifying existing texts in an image while preserving the background and the font style of t…

cs.CV2023

MMC: Multi-Modal Colorization of Images using Textual Descriptions

Subhankar Ghosh, Saumik Bhattacharya, Prasun Roy +2

Handling various objects with different colors is a significant challenge for image colorization techniques. Thus, for complex real-world scenes, the existing image colorization al…

cs.CV2023

Semantically Consistent Person Image Generation

Prasun Roy, Saumik Bhattacharya, Subhankar Ghosh +2

We propose a data-driven approach for context-aware person image generation. Specifically, we attempt to generate a person image such that the synthesized instance can blend into a…

cs.CV2022★ 1 cited

TIC: Text-Guided Image Colorization

Subhankar Ghosh, Prasun Roy, Saumik Bhattacharya +2

Image colorization is a well-known problem in computer vision. However, due to the ill-posed nature of the task, image colorization is inherently challenging. Though several attemp…

cs.CV2022

TIPS: Text-Induced Pose Synthesis

Prasun Roy, Subhankar Ghosh, Saumik Bhattacharya +2

In computer vision, human pose synthesis and transfer deal with probabilistic image generation of a person in a previously unseen pose from an already available observation of that…

cs.CV2022

Scene Aware Person Image Generation through Global Contextual Conditioning

Prasun Roy, Subhankar Ghosh, Saumik Bhattacharya +2

Person image generation is an intriguing yet challenging problem. However, this task becomes even more difficult under constrained situations. In this work, we propose a novel pipe…

cs.CV2020★ 3 cited

A New Unified Method for Detecting Text from Marathon Runners and Sports Players in Video

Sauradip Nag, Palaiahnakote Shivakumara, Umapada Pal +2

Detecting text located on the torsos of marathon runners and sports players in video is a challenging issue due to poor quality and adverse effects caused by flexible/colorful clot…

cs.CV2020★ 11 cited

Robust Tensor Decomposition for Image Representation Based on Generalized Correntropy

Miaohua Zhang, Yongsheng Gao, Changming Sun +1

Traditional tensor decomposition methods, e.g., two dimensional principal component analysis and two dimensional singular value decomposition, that minimize mean square errors, are…

cs.CV2020

A Robust Matching Pursuit Algorithm Using Information Theoretic Learning

Miaohua Zhang, Yongsheng Gao, Changming Sun +1

Current orthogonal matching pursuit (OMP) algorithms calculate the correlation between two vectors using the inner product operation and minimize the mean square error, which are b…

cs.LG2020★ 54 cited

Omni-Scale CNNs: a simple and effective kernel size configuration for time series classification

Wensi Tang, Guodong Long, Lu Liu +3

The Receptive Field (RF) size has been one of the most important factors for One Dimensional Convolutional Neural Networks (1D-CNNs) on time series classification tasks. Large effo…

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.CL2019★ 36 cited

Temporal Self-Attention Network for Medical Concept Embedding

Xueping Peng, Guodong Long, Tao Shen +3

In longitudinal electronic health records (EHRs), the event records of a patient are distributed over a long period of time and the temporal relations between the events reflect su…

cs.CV2019★ 25 cited

FACLSTM: ConvLSTM with Focused Attention for Scene Text Recognition

Qingqing Wang, Wenjing Jia, Xiangjian He +3

Scene text recognition has recently been widely treated as a sequence-to-sequence prediction problem, where traditional fully-connected-LSTM (FC-LSTM) has played a critical role. D…

cs.CV2018

Bag-of-Visual-Words for Signature-Based Multi-Script Document Retrieval

Ranju Mandal, Partha Pratim Roy, Umapada Pal +1

An end-to-end architecture for multi-script document retrieval using handwritten signatures is proposed in this paper. The user supplies a query signature sample and the system exc…

cs.CV2017★ 1 cited

Towards a Dedicated Computer Vision Tool set for Crowd Simulation Models

Sultan Daud Khan, Muhammad Saqib, Michael Blumenstein

As the population of world is increasing, and even more concentrated in urban areas, ensuring public safety is becoming a taunting job for security personnel and crowd managers. Ma…

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…