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20162023
most citedA Novel Context-Aware Multimodal Framework for Persian Sentiment Analysis

98 citations · 348 across the 22 of their papers we have counts for

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Showing 2021Show all

6 papers · 1 filter

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.LG2021★ 20 cited

A New Class of Efficient Adaptive Filters for Online Nonlinear Modeling

Danilo Comminiello, Alireza Nezamdoust, Simone Scardapane +3

Nonlinear models are known to provide excellent performance in real-world applications that often operate in non-ideal conditions. However, such applications often require online p…

cs.CV2021★ 1 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.CV2021★ 1 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:…

cs.CL2021★ 98 cited

A Novel Context-Aware Multimodal Framework for Persian Sentiment Analysis

Kia Dashtipour, Mandar Gogate, Erik Cambria +1

Most recent works on sentiment analysis have exploited the text modality. However, millions of hours of video recordings posted on social media platforms everyday hold vital unstru…