activity
20172022
most citedA Novel Context-Aware Multimodal Framework for Persian Sentiment Analysis

98 citations · 129 across the 12 of their papers we have counts for

collaborators

18 papers

cs.CL2022

WikiDes: A Wikipedia-Based Dataset for Generating Short Descriptions from Paragraphs

Hoang Thang Ta, Abu Bakar Siddiqur Rahman, Navonil Majumder +5

As free online encyclopedias with massive volumes of content, Wikipedia and Wikidata are key to many Natural Language Processing (NLP) tasks, such as information retrieval, knowled…

eess.AS2022

A Novel Temporal Attentive-Pooling based Convolutional Recurrent Architecture for Acoustic Signal Enhancement

Tassadaq Hussain, Wei-Chien Wang, Mandar Gogate +5

In acoustic signal processing, the target signals usually carry semantic information, which is encoded in a hierarchal structure of short and long-term contexts. However, the backg…

cs.CV2021

Cloud based Scalable Object Recognition from Video Streams using Orientation Fusion and Convolutional Neural Networks

Muhammad Usman Yaseen, Ashiq Anjum, Giancarlo Fortino +2

Object recognition from live video streams comes with numerous challenges such as the variation in illumination conditions and poses. Convolutional neural networks (CNNs) have been…

cs.CV20211 cited

Learning Polar Encodings for Arbitrary-Oriented Ship Detection in SAR Images

Yishan He, Fei Gao, Jun Wang +3

Common horizontal bounding box (HBB)-based methods are not capable of accurately locating slender ship targets with arbitrary orientations in synthetic aperture radar (SAR) images.…

cs.CV20211 cited

A novel multimodal fusion network based on a joint coding model for lane line segmentation

Zhenhong Zou, Xinyu Zhang, Huaping Liu +3

There has recently been growing interest in utilizing multimodal sensors to achieve robust lane line segmentation. In this paper, we introduce a novel multimodal fusion architectur…

cs.CV2021

Conceptual Text Region Network: Cognition-Inspired Accurate Scene Text Detection

Chenwei Cui, Liangfu Lu, Zhiyuan Tan +1

Segmentation-based methods are widely used for scene text detection due to their superiority in describing arbitrary-shaped text instances. However, two major problems still exist:…