no code implementations • 13 Dec 2022 • Chaolong Yang, Yuyao Yan, Weiguang Zhao, Jianan Ye, Xi Yang, Amir Hussain, Kaizhu Huang
On the one hand, the unidirectional projection enforces our model focused more on the core task, i. e., 3D segmentation; on the other hand, unlocking the bidirectional to unidirectional projection enables a deeper cross-domain semantic alignment and enjoys the flexibility to fuse better and complicated features from very different spaces.
no code implementations • 31 Oct 2022 • I-Chun Chern, Kuo-Hsuan Hung, Yi-Ting Chen, Tassadaq Hussain, Mandar Gogate, Amir Hussain, Yu Tsao, Jen-Cheng Hou
In summary, our results confirm the effectiveness of our proposed model for the AVSS task with proper fine-tuning strategies, demonstrating that multi-modal self-supervised embeddings obtained from AV-HUBERT can be generalized to audio-visual regression tasks.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +6
no code implementations • 24 Oct 2022 • Ahsan Adeel, Adewale Adetomi, Khubaib Ahmed, Amir Hussain, Tughrul Arslan, W. A. Phillips
Context-sensitive two-point layer 5 pyramidal cells (L5PCs) were discovered as long ago as 1999.
no code implementations • 24 Oct 2022 • Abhijeet Bishnu, Ankit Gupta, Mandar Gogate, Kia Dashtipour, Ahsan Adeel, Amir Hussain, Mathini Sellathurai, Tharmalingam Ratnarajah
In this paper, we design a first of its kind transceiver (PHY layer) prototype for cloud-based audio-visual (AV) speech enhancement (SE) complying with high data rate and low latency requirements of future multimodal hearing assistive technology.
1 code implementation • 27 Sep 2022 • Hoang Thang Ta, Abu Bakar Siddiqur Rahman, Navonil Majumder, Amir Hussain, Lotfollah Najjar, Newton Howard, Soujanya Poria, Alexander Gelbukh
In this paper, we introduce WikiDes, a novel dataset to generate short descriptions of Wikipedia articles for the problem of text summarization.
no code implementations • 6 Jun 2022 • Leandro A. Passos, João Paulo Papa, Amir Hussain, Ahsan Adeel
Despite the recent success of machine learning algorithms, most models face drawbacks when considering more complex tasks requiring interaction between different sources, such as multimodal input data and logical time sequences.
no code implementations • 18 Feb 2022 • Chenru Jiang, Kaizhu Huang, Shufei Zhang, Jimin Xiao, Zhenxing Niu, Amir Hussain
In this paper, we focus on tackling the precise keypoint coordinates regression task.
no code implementations • 11 Feb 2022 • Tassadaq Hussain, Muhammad Diyan, Mandar Gogate, Kia Dashtipour, Ahsan Adeel, Yu Tsao, Amir Hussain
Current deep learning (DL) based approaches to speech intelligibility enhancement in noisy environments are often trained to minimise the feature distance between noise-free speech and enhanced speech signals.
no code implementations • 9 Feb 2022 • Leandro Aparecido Passos, João Paulo Papa, Javier Del Ser, Amir Hussain, Ahsan Adeel
Our proposed AV CCA-GNN model deals with multimodal representation learning context.
no code implementations • 8 Feb 2022 • Shahid M Ali, Cheab Sovuthy, Sima Noghanian, Qammer H. Abbasi, Tatjana Asenova, Peter Derleth, Alex Casson, Tughrul Arslan, Amir Hussain
The MMA design shows a bandwidth of up to 1282. 4 (450. 5) MHz and provides gains of 3. 03 (4. 85) dBi in the lower and upper operating bands, respectively, showing omnidirectional radiation patterns in free space.
no code implementations • 8 Feb 2022 • Tassadaq Hussain, Muhammad Diyan, Mandar Gogate, Kia Dashtipour, Ahsan Adeel, Yu Tsao, Amir Hussain
Current deep learning (DL) based approaches to speech intelligibility enhancement in noisy environments are generally trained to minimise the distance between clean and enhanced speech features.
no code implementations • 24 Jan 2022 • Tassadaq Hussain, Wei-Chien Wang, Mandar Gogate, Kia Dashtipour, Yu Tsao, Xugang Lu, Adeel Ahsan, Amir Hussain
To address this problem, we propose to integrate a novel temporal attentive-pooling (TAP) mechanism into a conventional convolutional recurrent neural network, termed as TAP-CRNN.
no code implementations • 16 Dec 2021 • Mandar Gogate, Kia Dashtipour, Amir Hussain
The human brain contextually exploits heterogeneous sensory information to efficiently perform cognitive tasks including vision and hearing.
1 code implementation • 18 Nov 2021 • Tassadaq Hussain, Mandar Gogate, Kia Dashtipour, Amir Hussain
To the best of our knowledge, this is the first work that exploits the integration of AV modalities with an I-O based loss function for SE.
1 code implementation • 1 Nov 2021 • Kai Yao, Kaizhu Huang, Jie Sun, Amir Hussain, Curran Jude
Automatic nuclei segmentation and classification plays a vital role in digital pathology.
Ranked #4 on Multi-tissue Nucleus Segmentation on CoNSeP
no code implementations • 19 Jun 2021 • Muhammad Usman Yaseen, Ashiq Anjum, Giancarlo Fortino, Antonio Liotta, Amir Hussain
Herein we demonstrate how a feature-fusion strategy of the orientation components leads to further improving visual recognition accuracy to 97\%.
no code implementations • 29 Apr 2021 • Indro Spinelli, Simone Scardapane, Amir Hussain, Aurelio Uncini
Furthermore, to better evaluate the gains, we propose a new dyadic group definition to measure the bias of a link prediction task when paired with group-based fairness metrics.
no code implementations • 28 Apr 2021 • Yangfan Zhou, Kaizhu Huang, Cheng Cheng, Xuguang Wang, Amir Hussain, Xin Liu
%on how to exploit strong convexity to further improve the convergence rate of AdaBelief.
no code implementations • 19 Apr 2021 • Danilo Comminiello, Alireza Nezamdoust, Simone Scardapane, Michele Scarpiniti, Amir Hussain, Aurelio Uncini
In order to make this class of functional link adaptive filters (FLAFs) efficient, we propose low-complexity expansions and frequency-domain adaptation of the parameters.
no code implementations • 24 Mar 2021 • Yishan He, Fei Gao, Jun Wang, Amir Hussain, Erfu Yang, Huiyu Zhou
In this paper, in order to solve the boundary discontinuity problem in OBB regression, we propose to detect SAR ships by learning polar encodings.
no code implementations • 20 Mar 2021 • Zhenhong Zou, Xinyu Zhang, Huaping Liu, Zhiwei Li, Amir Hussain, Jun Li
There has recently been growing interest in utilizing multimodal sensors to achieve robust lane line segmentation.
no code implementations • 16 Mar 2021 • Chenwei Cui, Liangfu Lu, Zhiyuan Tan, Amir Hussain
The framework utilizes Conceptual Text Regions (CTRs), which is a class of cognition-based tools inheriting good mathematical properties, allowing for sophisticated label design.
no code implementations • 3 Mar 2021 • Kia Dashtipour, Mandar Gogate, Erik Cambria, Amir Hussain
Most recent works on sentiment analysis have exploited the text modality.
no code implementations • 19 Nov 2020 • Hui Chen, Deepanway Ghosal, Navonil Majumder, Amir Hussain, Soujanya Poria
Persuasion aims at forming one's opinion and action via a series of persuasive messages containing persuader's strategies.
no code implementations • 20 May 2020 • Abhinaba Roy, Biplab Banerjee, Amir Hussain, Soujanya Poria
Specifically, we pose the selection of potent local descriptors as filtering based feature selection problem which ranks the local features per category based on a novel measure of distinctiveness.
no code implementations • 3 May 2020 • Navonil Majumder, Rishabh Bhardwaj, Soujanya Poria, Amir Zadeh, Alexander Gelbukh, Amir Hussain, Louis-Philippe Morency
Aspect-based sentiment analysis (ABSA), a popular research area in NLP has two distinct parts -- aspect extraction (AE) and labeling the aspects with sentiment polarity (ALSA).
no code implementations • 28 Feb 2020 • Mufti Mahmud, M. Shamim Kaiser, Amir Hussain
Highlighting the role of DL in recognizing patterns in biological data, this article provides - applications of DL to biological sequences, images, and signals data; overview of open access sources of these data; description of open source DL tools applicable on these data; and comparison of these tools from qualitative and quantitative perspectives.
no code implementations • 19 Feb 2020 • Daniel Molina, Javier Poyatos, Javier Del Ser, Salvador García, Amir Hussain, Francisco Herrera
Using these taxonomies we review more than three hundred publications dealing with nature-inspired and bio-inspired algorithms, and proposals falling within each of these categories are examined, leading to a critical summary of design trends and similarities between them, and the identification of the most similar classical algorithm for each reviewed paper.
no code implementations • 30 Sep 2019 • Mandar Gogate, Ahsan Adeel, Kia Dashtipour, Peter Derleth, Amir Hussain
This paper presents, a first of its kind, audio-visual (AV) speech enhacement challenge in real-noisy settings.
no code implementations • 30 Sep 2019 • Kia Dashtipour, Mandar Gogate, Jingpeng Li, Fengling Jiang, Bin Kong, Amir Hussain
When no pattern is triggered, the framework switches to its subsymbolic counterpart and leverages deep neural networks (DNN) to perform the classification.
no code implementations • 23 Sep 2019 • Mandar Gogate, Kia Dashtipour, Ahsan Adeel, Amir Hussain
In addition, our work challenges a popular belief that a scarcity of multi-language large vocabulary AV corpus and wide variety of noises is a major bottleneck to build a robust language, speaker and noise independent SE systems.
no code implementations • 22 May 2019 • Hongchao Li, Xianmin Lin, Aihua Zheng, Chenglong Li, Bin Luo, Ran He, Amir Hussain
In particular, our network is end-to-end trained and contains three subnetworks of deep features embedded by the corresponding attributes (i. e., camera view, vehicle type and vehicle color).
no code implementations • ICLR 2019 • Shufei Zhang, Kai-Zhu Huang, Rui Zhang, Amir Hussain
In this paper, we propose a generalized framework that addresses the learning problem of adversarial examples with Riemannian geometry.
no code implementations • WS 2018 • Imane Guellil, Ahsan Adeel, Faical Azouaou, Fodil Benali, Ala-eddine Hachani, Amir Hussain
Afterwards, we automatically classify the sentiment of the transliterated corpus using an automatically annotated corpus.
no code implementations • 28 Aug 2018 • Ahsan Adeel, Mandar Gogate, Amir Hussain
In this paper, we introduce a novel contextual AV switching component that contextually exploits AV cues with respect to different operating conditions to estimate clean audio, without requiring any SNR estimation.
no code implementations • 25 Aug 2018 • Fengling Jiang, Bin Kong, Ahsan Adeel, Yun Xiao, Amir Hussain
Simultaneously, foreground prior as the virtual absorbing nodes is used to calculate the absorption time and obtain the background possibility.
no code implementations • 15 Aug 2018 • Kia Dashtipour, Mandar Gogate, Ahsan Adeel, Cosimo Ieracitano, Hadi Larijani, Amir Hussain
The rise of social media is enabling people to freely express their opinions about products and services.
no code implementations • 15 Aug 2018 • Imane Guellil, Ahsan Adeel, Faical Azouaou, Amir Hussain
In this paper, we present a novel approach to automatically construct an annotated sentiment corpus for Algerian dialect (a Maghrebi Arabic dialect).
no code implementations • 31 Jul 2018 • Ahsan Adeel, Mandar Gogate, Amir Hussain, William M. Whitmer
The proposed audio-visual (AV) speech enhancement framework operates at two levels.
no code implementations • 31 Jul 2018 • Mandar Gogate, Ahsan Adeel, Ricard Marxer, Jon Barker, Amir Hussain
The process of selective attention in the brain is known to contextually exploit the available audio and visual cues to better focus on target speaker while filtering out other noises.
no code implementations • 10 Jun 2018 • Wissem Abbes, Zied Kechaou, Amir Hussain, Abdulrahman M. Qahtani, Omar Aimutiry, Habib Dhahri, Adel M. ALIMI
Nowadays, hybrid cloud platforms stand as an attractive solution for organizations intending to implement combined private and public cloud applications, in order to meet their profitability requirements.
no code implementations • 19 Mar 2018 • Soujanya Poria, Navonil Majumder, Devamanyu Hazarika, Erik Cambria, Alexander Gelbukh, Amir Hussain
We compile baselines, along with dataset split, for multimodal sentiment analysis.
2 code implementations • 22 Feb 2018 • Simone Scardapane, Steven Van Vaerenbergh, Amir Hussain, Aurelio Uncini
Complex-valued neural networks (CVNNs) are a powerful modeling tool for domains where data can be naturally interpreted in terms of complex numbers.
no code implementations • 11 Jan 2018 • Mufti Mahmud, M. Shamim Kaiser, M. Mostafizur Rahman, M. Arifur Rahman, Antesar Shabut, Shamim Al-Mamun, Amir Hussain
To ensure secure and reliable data communication between end-to-end (E2E) devices supported by current IoT and cloud infrastructure, trust management is needed at the IoT and user ends.
no code implementations • 10 Nov 2017 • Mufti Mahmud, M. Shamim Kaiser, Amir Hussain, Stefano Vassanelli
Rapid advances of hardware-based technologies during the past decades have opened up new possibilities for Life scientists to gather multimodal data in various application domains (e. g., Omics, Bioimaging, Medical Imaging, and [Brain/Body]-Machine Interfaces), thus generating novel opportunities for development of dedicated data intensive machine learning techniques.
no code implementations • 19 Sep 2017 • Muhammad Usama, Junaid Qadir, Aunn Raza, Hunain Arif, Kok-Lim Alvin Yau, Yehia Elkhatib, Amir Hussain, Ala Al-Fuqaha
We provide a comprehensive survey highlighting the recent advancements in unsupervised learning techniques and describe their applications for various learning tasks in the context of networking.
no code implementations • 19 Aug 2017 • Muaz A. Niazi, Amir Hussain
In this paper we present a novel Formal Agent-Based Simulation framework (FABS).
no code implementations • 19 Aug 2017 • Muaz A. Niazi, Amir Hussain
Agent-Based Computing is a diverse research domain concerned with the building of intelligent software based on the concept of "agents".
no code implementations • 8 Aug 2017 • Muaz A. Niazi, Amir Hussain, Mario Kolberg
Our technique, which allows for the validation of agent based simulations uses VOMAS: a Virtual Overlay Multi-agent System.
no code implementations • 4 Aug 2017 • Muaz A. Niazi, Amir Hussain
Agent-based modeling and simulation tools provide a mature platform for development of complex simulations.
no code implementations • 29 Jul 2017 • Erik Cambria, Devamanyu Hazarika, Soujanya Poria, Amir Hussain, R. B. V. Subramaanyam
We propose a framework for multimodal sentiment analysis and emotion recognition using convolutional neural network-based feature extraction from text and visual modalities.
no code implementations • 17 Dec 2016 • Zeeshan Khawar Malik, Zain U. Hussain, Ziad Kobti, Charlie W. Lees, Newton Howard, Amir Hussain
Faecal Calprotectin (FC) is a surrogate marker for intestinal inflammation, termed Inflammatory Bowel Disease (IBD), but not for cancer.
1 code implementation • 2 Jul 2016 • Simone Scardapane, Danilo Comminiello, Amir Hussain, Aurelio Uncini
In this paper, we consider the joint task of simultaneously optimizing (i) the weights of a deep neural network, (ii) the number of neurons for each hidden layer, and (iii) the subset of active input features (i. e., feature selection).
no code implementations • LREC 2012 • Erik Cambria, Yunqing Xia, Amir Hussain
Thanks to the advent of Web 2. 0, the potential for opinion sharing today is unmatched in history.