Submissions from 2023
On Preconditioning Polyak Step-Size and its Variants, Farshed Abdukhakimov
Link Analysis in Complex Networks by Structural Method and Machine Learning, Aliakbar Abdurahimov
Knowledge Graph-based Recommender System using Skip-gram Network, Rabiatul Adawiyah Binti Ab Jabar
Improving Generalization Performance of Deep Learning Models for Whole Slide Image Segmentation, Kudaibergen Abutalip
Handling Realistic Label Noise in BERT Text Classification, Maha Tufail Agro
Part-based Signal Modulation and Adaptive Skip Merger for Person Search, Reem Abdalla Sharif Mohamed Alameeri
Automating Labeling of Fetal Ultrasound Views Using Machine Learning, Hussain Alasmawi
ExtArabic: Extensive Arabic Natural Language Understanding Benchmark, Sarah Adnan Al Barri
The Impact of Model Architecture on the Transferability of Adversarial Attacks, Farha Salem Khamis Albreiki
Stable Learning In Mean Field Games by Regularization of The Policy Updates, Talal Abdullah Fadhl Algumaei
Pseudo-Label Generation and Refinement for Minimally Supervised Video Anomaly Detection, Anas Emad Addeen Diab Al-lahham
Toward Adaptive Person Search/ReID systems, Mohammed Khaled Mohamed Ahmed Almansoori
Optimizing Industrial Systems with Machine Learning Anomaly Detection, Shaikh Khalid Khalifa Mohamed Khalid Al Nahyan
A Benchmark to Evaluate Gender Bias in Arabic Language Models, Leen Raid Jamal Al Qadi
Domain Adaptive Imitation Learning for Self Driving Environments, Eman Hisham Zaki Al Suradi
Detecting the Political Leaning of News Articles and News Media, Dilshod Azizov
From Limitations to Innovations: A Deep Dive into Multimodal Weakly Supervised Violence Detection, Younes Balah
XMem++: Towards production level interactive video object segmentation, Maksym Bekuzarov
Iterative Video Segmentation Framework and Benchmark Using Minimal User Annotations, Ariana Michelle Bermudez Venegas
BOsampler: a Plug-and-play Module for Stochastic Human Trajectory Sampling Promoting, Zhenhao Chen
Towards a Computer Vision-based Approach for Digital Twin Implementation, Miriam Cristofoletti
Enabling Transactive Microgrids: A Multi-Agent Reinforcement Learning Hierarchical Framework, Nicolás Mauricio Cuadrado Ávila
Object Detection and Semantic Segmentation on Radar Frequency Signals, Yahia Ibrahim R Dalbah
FusedVision: Advancing Anomaly Detection in Surveillance Videos with Branched Networks, Khaled W. H. Dawoud
Personalized learning with the existence of harmful workers, Brahim Erraji
On the Identifiability of Causal Discovery from Temporally Aggregated Data, Shunxing Fan
Exploiting Differential Adversarial Sensitivity for Trojaned Model Detection, Samar Fares
Omics-Driven Cancer Driver Gene Prediction with Enhanced Graph Convolutional Networks, Mugariya Farooq
ChatGPT-driven Prompt Generation for Vision-Language Models, Zhengqing Gao
Open World Object Detection in Satellite Images, Abhishek Singh Gehlot
Federated Reinforcement Learning Approach for Smart Microgrids Control, Roberto Alejandro Gutierrez Guillen
Automated Mapping of CVE Vulnerability Records to MITRE CWE Weaknesses: An NLP Parser, Ashraf Haddad
Machine Learning Multimodality Fusion for Antimicrobial Resistance Prediction Using Electronic Health Records, Shahad Emad Mohamad Hardan
Improving Identity Consistency for Neural Head Reeanactment, Steven Phong Hoang
Secure Image Provenance: Blockchain-Based Solution for Image Forgery and Similarity, Sharim Jamal
Robust Video Dubbing: Improved Audio Classification, Recognition, and Separation in the Multilingual Setting, Bokang Jia
Efficient Test-Time Adaptation for Vision-Language Models, Adilbek Karmanov
Drone Detection Using Modified Deep Learning Methods, Mohamad Mahmoud Kassab
3D Human Pose Estimation Under Occlusions and Partial Views, Maksat Kengeskanov
Semi-Supervised Domain Generalization in Visual Recognition, Adnan Khan
Transferability of Vision-Language models with Prompt Learning, Muhammad Uzair Khattak
Using Speech Emotions for Predicting the Check-Worthiness of Claims in Political Events, Felicia Kovacs
Towards Learning Efficient Multilingual and Multimodal Representation, Gokul Karthik Kumar
Zero-shot out-of-distribution cancer tissue classification via the Contextualized Classifier, Juwayni Macadato Lucman
Semi-supervised Open-World Object Detection, Sahal Shaji Mullappilly
On Self-Supervised Learning of Vision Transformers for Fingerprint Presentation Attack Detection, Maryam Nadeem
Learning a Latent Space of Cell Shapes via Signed Distance Functions, Sara Pieri
Efficient Deep Learning Architectures for Computer Vision Deployment on Industrial Scenarios, Jose Renato Restom Viera
Detecting Propaganda Techniques in Code-Switched Social Media Texts, Muhammad Umar Salman
Exploring the Potential of Deep Learning for Biomedical Image Segmentation, Muhammad Hamza Sharif
Continual Casual Representation Learning, Boyang Sun
Confidential and Private Decentralized Learning based on Encryption-friendly Distillation Loss, Nurbek Tastan
A Filling-Based Masking Strategy for Siamese ConvNets, Kirill Vishniakov
Sequence Pre-training-based Graph Neural Network for Predicting LncRNA-miRNA Associations, Zixiao Wang
Training Free Distillation for Efficient Action Recognition, Yu Kang Wong
PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery, Sheng Zhang
Temporality-guided Masked Image Consistency for Domain Adaptive Video Segmentation, Zunhao Zhang
DC-Net: Divide-and-Conquer for Salient Object Detection, Jiayi Zhu
Medical Image Segmentation with Noisy Labels, Aigerim Zhumabayeva
A Deep Neural Network for Oxidative Coupling of Methane Trained on High Throughput Experimental Data, Klea Ziu
Submissions from 2022
On Utilizing Layer-wise Gradient Norms for Membership Inference Attack, Saarah Abdulla
A 16×16 Patch Attack on Vision Transformers with Differential Evolution, Abass Bamidele Abdulsalam
Dialogue System for Early Mental Illness Detection: Towards a Digital Twin Solution, Akbobek Abilkaiyrkyzy
3D Object Detection in Context, Sultan Mobeen Jawdat Abu Ghazal
Self-Supervision using Style Transfer for Domain Generalization, Abdallah M. M. Abujami
Robustness in Point-based 3D Object Detection, Fatima Abdulla Omar Albreiki
Improving Vision Transformers for Remote Sensing, Abdulaziz Amer Mohammed Aleissaee
Visual Object Tracking in Adverse Weather conditions, Wafa Hamad Mohamed Alghallabi
BeeCast: A Device-to-Device Collaborative Video Streaming System, Asaad Alghamdi, Younes Balah, Mohammad Albejadi, and Muhamad Felemban
Multi-label classification network for multi-view dataset using dependence and attention analysis, Hanin Thaer Al Ghothani
Self-supervised Learning for Time Series Analysis in Predictive Maintenance Application, Abdullatif Husain Hasan Alhashmi
Survey on Self-supervised Representation Learning Using Image Transformations, Muhammad Ali and Sayed Hashim
Defense against Gradient Inversion Attacks using Kurtosis Regularization, Sulaiman Hamza Mohamed Aljanahi
Robust Collaborative Learning in the Presence of Malicious Clients, Naif Tayseer B Alkhunaizi
PEFormer: CNN-Transformer Network with Noisy Training for Robust Pulmonary Embolism Detection in Computed Tomography, Ahmed Said Mohamed Al Mahrooqi
Hippocampal Segmentation and Pseudolabel generation for Alzheimer’s Classification, Roba Al Majzoub
Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image Classification, Faris (Mohammad Amin) Almalik
A Unified Model for Face Matching and Presentation Attack Detection using an Ensemble of Vision Transformer Features, Rouqaiah Hassan Al-Refai
Towards a Digital Twin of Cognitive Processes, Shahd Hamad Ghanem Alshamsi
On Improving Model Generalizability via Optimization and Representation Learning Techniques, Omar Ali Ahmed Hajras Alsuwaidi
Some Results on the Expressivity of Deep Neural Networks, Mohammed Jasem Rashed Alzaabi
Some Results on the Expressivity of Deep Neural Networks, Mohammed Jasem Rashed Alzaabi
PolyKervNets: Activation-freeNeural Networks For Efficient Private Inference, Toluwani Samuel Aremu
DRGen: Domain Generalization in Diabetic Retinopathy Classification, Mohammad Zeyad Abdulrahman Atwany
Nuclei Segmentation and Classification, Hussam Osama Fares Azzuni
Color Space-based HoVer-Net for Nuclei Instance Segmentation and Classification, Hussam Azzuni, Muhammad Ridzuan, Min Xu, and Mohammad Yaqub
Bridging the Gap between Object and Image-level Representations for Open-Vocabulary Detection, Hanoona Bangalath
AI-Driven 3D Segmentation of COVID-19 Infection from Lung CT, Ameera Ali Mohamed Bawazir
Improving Vision Transformers for Fine-Grained Recognition, Dmitry Demidov
CGPS-3DV: Cycled Generative Pseudo-Stereo for Monocular 3D Object Detection in Autonomous Vehicles, Ahmed Adel Gomaa Sayed Elhagry
Recovering Lost Information from Exponential Moving Averages on HFT Market Data, Abdelmajid Essofi
Attention-based Methods for 3D Object Detection and Classification using Point Clouds, Dhanalaxmi Gaddam
The Power Of First-Order Smooth Optimization for Black-Box Non-Smooth Problems, Alexander V. Gasnikov., Anton Novitskii, Vasilii Novitskii, Farshed Abdukhakimov, Dmitry Kamzolov, Aleksandr Beznosikov, Martin Takáč, Pavel Dvurechensky, and Bin Gu
A Radiogenomics Pipeline for Segmentation of Lung Nodules in CT Scans and Prediction of EGFR Mutation Status, Ivo Gollini Navarrete
Class Incremental Continual Learning for Computer Vision, Rushali Grandhe
Hyperparameter Optimization for COVID-19 Chest X-Ray Classification, Ibraheem Hamdi, Muhammad Ridzuan, and Mohammad Yaqub
Self-supervised Representation Learning of Multi-omics Cancer Data, Sayed Hashim
SubOmiEmbed: Self-supervised representation learning of multi-omics data for cancer type classification, Sayed Hashim, Muhammad Ali, Karthik Nandakumar, and Mohammad Yaqub
In Quest of Ground Truth: Learning Confident Models and Estimating Uncertainty in the Presence of Annotator Noise, Asma Ahmed Hashmi
The Employability of End-to-End Automatic Speech Recognition on Impaired Speech: An Investigation, Karima Kadaoui