Submissions from 2023
Digital Twin of Atmospheric Environment: Sensory Data Fusion for High-Resolution PM2.5 Estimation and Action Policies Recommendation, Kudaibergen Abutalip, Anas Al-lahham, and Abdulmotaleb Elsaddik
Self-omics: A Self-supervised Learning Framework for Multi-omics Cancer Data, Sayed Hashim, Karthik Nandakumar, and Mohammad Yaqub
Submissions from 2022
Boosting the training of neural networks through hybrid metaheuristics, Mohammed Azmi Al-Betar, Mohammed A. Awadallah, Iyad Abu Doush, Osama Ahmad Alomari, Ammar Kamal Abasi, Sharif Naser Makhadmeh, and Zaid Abdi Alkareem Alyasseri
On the Robustness of 3D Object Detectors, Fatima Albreiki, Sultan Abu Ghazal, Jean Lahoud, Rao Anwer, Hisham Cholakkal, and Fahad Shahbaz Khan
Transformers in Remote Sensing: A Survey, Abdulaziz Amer Aleissaee, Amandeep Kumar, Rao Anwer, Salman Khan, Hisham Cholakkal, Gui-Song Xia, and Fahad Shahbaz Khan
A Review on Industrial Blockchain, Mohammad Al Jaafreh, Wassim El Ahmar, Mohamad Hoda, and Ali Karime
GARDNet: Robust Multi-view Network for Glaucoma Classification in Color Fundus Images, Ahmed Al-Mahrooqi, Dmitrii Medvedev, Rand Muhtaseb, and Mohammad Yaqub
Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image Classification, Faris Almalik, Mohammad Yaqub, and Karthik Nandakumar
Towards a Machine Learning-Based Digital Twin for Non-Invasive Human Bio-Signal Fusion, Izaldein Al-Zyoud, Fedwa Laamarti, Xiaocong Ma, Diana Tobón, and Abdulmotaleb Elsaddik
DRGen: Domain Generalization in Diabetic Retinopathy Classification, Mohammad Zeyad Atwany and Mohammad Yaqub
Deep Learning Techniques for Diabetic Retinopathy Classification: A Survey, Mohammad Z. Atwany, Abdulwahab H. Sahyoun, and Mohammad Yaqub
Color Space-based HoVer-Net for Nuclei Instance Segmentation and Classification, Hussam Azzuni, Muhammad Ridzuan, Min Xu, and Mohammad Yaqub
Semi-Supervised Cross-Modal Salient Object Detection with U-Structure Networks, Yunqing Bao, Hang Dai, and Abdulmotaleb Elsaddik
SSMTL++: Revisiting Self-Supervised Multi-Task Learning for Video Anomaly Detection, Antonio Barbalau, Radu Tudor Ionescu, Mariana-Iuliana Georgescu, Jacob Dueholm, Bharathkumar Ramachandra, Kamal Nasrollahi, Fahad Shahbaz Khan, Thomas B. Moeslund, and Mubarak Shah
DoodleFormer: Creative Sketch Drawing with Transformers, Ankan Kumar Bhunia, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Jorma Laaksonen, and Michael Felsberg
AI-based Blockchain for the Metaverse: Approaches and Challenges, Ouns Bouachir, Moayad Aloqaily, Fakhri Karray, and Abdulmotaleb Elsaddik
SipMaskv2: Enhanced Fast Image and Video Instance Segmentation, Jiale Cao, Yanwei Pang, Rao Anwer, Hisham Cholakkal, Fahad Shahbaz Khan, and Ling Shao
PSTR: End-to-End One-Step Person Search With Transformers, Jiale Cao, Pang Yanwei, Rao Anwer, Hisham Cholakkal, Jin Xie, Mubarak Shah, and Fahad Shahbaz Khan
Automatic Quality Assessment of First Trimester Crown-Rump-Length Ultrasound Images, Sevim Cengiz, Ibrahim Hamdi, and Mohammad Yaqub
Deep Learning-based Quality Assessment of Clinical Protocol Adherence in Fetal Ultrasound Dating Scans, Sevim Cengiz and Mohammad Yaqub
Deep Network for Extremely Low-Resolution Human Action Recognition, Sachin Chaudhary, Prashant W. Patil, Akshay Dudhane, and Subrahmanyam Murala
Automatic schelling points detection from meshes, Geng Chen, Hang Dai, Tao Zhou, Jianbing Shen, and Ling Shao
Learning Disentanglement with Decoupled Labels for Vision-Language Navigation, Wenhao Cheng, Xingping Dong, Salman Khan, and Jianbing Shen
Pseudo-Stereo for Monocular 3D Object Detection in Autonomous Driving, Yi-Nan Chen, Hang Dai, and Yong Ding
Deep-precognitive diagnosis: preventing future pandemics by novel disease detection With biologically-inspired conv-fuzzy network, Aviral Chharia, Rahul Upadhyay, Vinay Kumar, Chao Cheng, Jing Zhang, Tianyang Wang, and Min Xu
Towards partial supervision for generic object counting in natural scenes, Hisham Cholakkal, Guolei Sun, Salman Khan, Fahad Shahbaz Khan, Ling Shao, and Luc Van Gool
Burst image restoration and enhancement, Akshay Dudhane, Syed Waqas Zamir, Salman Khan, Fahad Shahbaz Khan, and Ming-Hsuan Yang
Applications of 3D photography in craniofacial surgery, Christian Duncan, Nick E. Pears, Hang Dai, Will A.P. Smith, and Paul O′higgins
RailTwin: A Digital Twin Framework For Railway, Rahatara Ferdousi, Fedwa Laamarti, Chunsheng Yang, and Abdulmotaleb Elsaddik
PS-ARM: An End-to-End Attention-aware Relation Mixer Network for Person Search, Mustansar Fiaz, Hisham Cholakkal, Sanath Narayan, Rao Anwer, and Fahad Shahbaz Khan
Video Object Segmentation Based on Guided Feature Transfer Learning, Mustansar Fiaz, Arif Mahmood, Sehar Shahzad Farooq, Kamran Ali, Muhammad Shaheryar, and Soon Ki Jung
CMR3D: Contextualized Multi-Stage Refinement for 3D Object Detection, Dhanalaxmi Gaddam, Jean Lahoud, Fahad Shahbaz Khan, Rao Anwer, and Hisham Cholakkal
A Background-Agnostic Framework with Adversarial Training for Abnormal Event Detection in Video, Mariana Iuliana Georgescu, Radu Tudor Ionescu, Fahad Shahbaz Khan, Marius Popescu, and Mubarak Shah
Multimodal Multi-Head Convolutional Attention with Various Kernel Sizes for Medical Image Super-Resolution, Mariana-Iuliana Georgescu, Radu Tudor Ionescu, Andreea-Iuliana Miron, Olivian Savencu, Nicolae Verga, Nicolae-Cătălin Ristea, and Fahad Shabaz Khan
On Demographic Bias in Fingerprint Recognition, Akash Godbole, Steven A. Grosz, Karthik Nandakumar, and Anil K. Jain
Hyperparameter Optimization for COVID-19 Chest X-Ray Classification, Ibraheem Hamdi, Muhammad Ridzuan, and Mohammad Yaqub
SubOmiEmbed: Self-supervised representation learning of multi-omics data for cancer type classification, Sayed Hashim, Muhammad Ali, Karthik Nandakumar, and Mohammad Yaqub
Visual Attention Methods in Deep Learning: An In-Depth Survey, Mohammed Hassanin, Anwar Saeed, Ibrahim Radwan, Fahad Shahbaz Khan, and Ajmal Mian
Cross-Modality Knowledge Distillation Network for Monocular 3D Object Detection, Yu Hong, Hang Dai, and Yong Ding
Scribble-Supervised Video Object Segmentation, Peiliang Huang, Junwei Han, Nian Liu, Jun Ren, and Dingwen Zhang
Scribble-based boundary-aware network for weakly supervised salient object detection in remote sensing images, Zhou Huang, Tian-Zhu Xiang, Huai-Xin Chen, and Hang Dai
UAV-based Multi-scale Features Fusion Attention for Fire Detection in Smart City Ecosystems, Tanveer Hussain, Hang Dai, Wail Gueaieb, Marco Sicklinger, and Giulia De Masi
High-resolution Iterative Feedback Network for Camouflaged Object Detection, Xiaobin Hu, Deng-Ping Fan, Xuebin Qin, Hang Dai, Wenqi Ren, Ying Tai, Chengjie Wang, and Ling Shao
Optimizing Homomorphic Encryption based Secure Image Analytics, Nayna Jain, Karthik Nandakumar, Nalini Ratha, Sharath Pankanti, and Uttam Kumar
PPDL - privacy preserving deep learning using homomorphic encryption, Nayna Jain, Karthik Nandakumar, Nalini Ratha, Sharath Pankanti, and Uttam Kumar
Visual Object Tracking with Discriminative Filters and Siamese Networks: A Survey And Outlook, Sajid Javed, Martin Danelljan, Fahad Shahbaz Khan, Muhammad Haris Khan, Michael Felsberg, and Jiri Matas
Dense Gaussian processes for few-shot segmentation, Joakim Johnander, Johan Edstedt, Michael Felsberg, Fahad Shahbaz Khan, and Martin Danelljan
Energy-based Latent Aligner for Incremental Learning, K.J. Joseph, Salman Khan, Fahad Shahbaz Khan, Rao Muhammad Anwer, and Vineeth N. Balasubramanian
NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results, Fahad Shahbaz Khan and Salman Khan
Transformers in Vision: A Survey, Salman Khan, Muzammal Naseer, Munawar Hayat, Syed Waqas Zamir, Fahad Shahbaz Khan, and Mubarak Shah
Self-Supervised Video Object Segmentation via Cutout Prediction and Tagging, Jyoti Kini, Fahad Shahbaz Khan, Salman Khan, and Mubarak Shah
MuCoT: Multilingual Contrastive Training for Question-Answering in Low-resource Languages, Gokul Karthik Kumar, Abhishek Singh Gehlot, Sahal Shaji Mullappilly, and Karthik Nandakumar
3D Vision with Transformers: A Survey, Jean Lahoud, Jiale Cao, Fahad Shahbaz Khan, Hisham Cholakkal, Rao Anwer, Salman Khan, and Ming-Hsuan Yang
Self-Distillation for Robust LiDAR Semantic Segmentation in Autonomous Driving, Jiale Li, Hang Dai, and Yong Ding
Disentangled Capsule Routing for Fast Part-Object Relational Saliency, Yi Liu, Dingwen Zhang, Nian Liu, Shoukun Xu, and Jungong Han
Class-Agnostic Object Detection with Multi-modal Transformer, Muhammad Maaz, Hanoona Rasheed, Salman Khan, Fahad Shahbaz Khan, Rao Anwer, and Ming Hsuan Yang
EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications, Muhammad Maaz, Abdelrahman Shaker, Hisham Cholakkal, Salman Khan, Syed Waqas Zamir, Rao Anwer, and Fahad Shahbaz Khan
Adversarial Pixel Restoration as a Pretext Task for Transferable Perturbations, Hashmat Shadab Malik, Shahina K. Kunhimon, Muzammal Nasser, Salman Khan, and Fahad Shahbaz Khan
COCOA: Context-Conditional Adaptation for Recognizing Unseen Classes in Unseen Domains, Puneet Mangla, Shivam Chandhok, Vineeth N. Balasubramanian, and Fahad Shahbaz Khan
Adaptive Feature Consolidation Network for Burst Super-Resolution, Nancy Mehta, Akshay Dudhane, Subrahmanyam Murala, Syed Waqas Zamir, Salman Khan, and Fahad Shahbaz Khan
D3Former: Debiased Dual Distilled Transformer for Incremental Learning, Abdelrahman Mohamed, Rushali Grandhe, K.J. Joseph, Salman Khan, and Fahad Shahbaz Khan
HM: Hybrid Masking for Few-Shot Segmentation, Seonghyeon Moon, Samuel S. Sohn, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic, Muhammad Haris Khan, and Mubbasir Kapadia
EchoCoTr: Estimation of the Left Ventricular Ejection Fraction from Spatiotemporal Echocardiography, Rand Muhtaseb and Mohammad Yaqub
Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification, Sanath Narayan, Akshita Gupta, Fahad Shahbaz Khan, Cees G. M. Snoek, and Ling Shao
Stylized Adversarial Defense, Muzammal Naseer, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, and Fatih Porikli
Guidance Through Surrogate: Toward a Generic Diagnostic Attack, Muzammal Naseer, Salman Khan, Fatih Porikli, and Fahad Shahbaz Khan
AVisT: A Benchmark for Visual Object Tracking in Adverse Visibility, Mubashir Noman, Wafa Al Ghallabi, Daniya Najiha, Christoph Mayer, Hisham Cholakkal, Salman Khan, Luc Van Gool, and Fahad Shahbaz Khan
Multi‐frame based adversarial learning approach for video surveillance, Prashant W. Patil, Akshay Dudhane, Sachin Chaudhary, and Subrahmanyam Murala
Highly Accurate Dichotomous Image Segmentation, Xuebin Qin, Hang Dai, Xiaobin Hu, Deng-Ping Fan, Luc Van Gool, and Ling Shao
Polarity Loss: Improving Visual-Semantic Alignment for Zero-Shot Detection, Shafin Rahman, Salman Khan, and Nick Barnes
Bridging the Gap between Object and Image-level Representations for Open-Vocabulary Detection, Hanoona Rasheed, Muhammad Maaz, Muhammad Uzair Khattak, Salman Khan, and Fahad Shahbaz Khan
Challenges in COVID-19 Chest X-Ray Classification: Problematic Data or Ineffective Approaches?, Muhammad Ridzuan, Ameera Ali Bawazir, Ivo Gollini Navarrete, Ibrahim Almakky, and Mohammad Yaqub
Self-supervision and Multi-task Learning: Challenges in Fine-Grained COVID-19 Multi-class Classification from Chest X-rays, Muhammad Ridzuan, Ameera Ali Bawazir, Ivo Gollini Navarrete, Ibrahim Almakky, and Mohammad Yaqub
SepTr: Separable Transformer for Audio Spectrogram Processing, Nicolae-Cătălin Ristea, Radu Tudor Ionescu, and Fahad Shahbaz Khan
OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning, Mamshad Nayeem Rizve, Navid Kardan, Salman Khan, Fahad Shahbaz Khan, and Mubarak Shah
Contrastive Pretraining for Echocardiography Segmentation with Limited Data, Mohamed Saeed, Rand Muhtaseb, and Mohammad Yaqub
Is Contrastive Learning Suitable for Left Ventricular Segmentation in Echocardiographic Images?, Mohamed Saeed, Rand Muhtaseb, and Mohammad Yaqub
End-to-End Myocardial Infarction Classification from Echocardiographic Scans, Mohamed Saeed and Mohammad Yaqub
Fusion and Orthogonal Projection for Improved Face-Voice Association, Muhammad Saad Saeed, Muhammad Haris Khan, Shah Nawaz, Muhammad Haroon Yousaf, and Alessio Del Bue
An Ensemble Approach for Patient Prognosis of Head and Neck Tumor Using Multimodal Data, Numan Saeed, Roba Al Majzoub, Ikboljon Sobirov, and Mohammad Yaqub
Is it Possible to Predict MGMT Promoter Methylation from Brain Tumor MRI Scans using Deep Learning Models?, Numan Saeed, Shahad Hardan, Kudaibergen Abutalip, and Mohammad Yaqub
TMSS: An End-to-End Transformer-Based Multimodal Network for Segmentation and Survival Prediction, Numan Saeed, Ikboljon Sobirov, Roba Al Majzoub, and Mohammad Yaqub
Transformers in Medical Imaging: A Survey, Fahad Shamshad, Salman Khan, Syed Waqas Zamir, Muhammad Haris Khan, Munawar Hayat, Fahad Shahbaz Khan, and Huazhu Fu
Automatic Segmentation of Head and Neck Tumor: How Powerful Transformers Are?, Ikboljon Sobirov, Otabek Nazarov, Hussain Alasmawi, and Mohammad Yaqub
Segmentation with Super Images: A New 2D Perspective on 3D Medical Image Analysis, Ikboljon Sobirov, Numan Saeed, and Mohammad Yaqub
Moving objects segmentation using generative adversarial modeling, Maryam Sultana, Arif Mahmood, Thierry Bouwmans, Muhammad Haris Khan, and Soon Ki Jung
Unsupervised moving object segmentation using background subtraction and optimal adversarial noise sample search, Maryam Sultana, Arif Mahmood, and Soon Ki Jung
Self-Distilled Vision Transformer for Domain Generalization, Maryam Sultana, Muzammal Naseer, Muhammad Haris Khan, Salman Khan, and Fahad Shahbaz Khan
Video Instance Segmentation via Multi-scale Spatio-temporal Split Attention Transformer, Omkar Thawakar, Sanath Narayan, Jiale Cao, Hisham Cholakkal, Rao Anwer, Muhammad Haris Khan, Salman Khan, Michael Felsberg, and Fahad Shahbaz Khan
Deep learning in multimedia healthcare applications: a review, Diana P. Tobón V, M. Shamim Hossain, Ghulam Muhammad, Josu Bilbao, and Abdulmotaleb El Saddik
Domain Adaptive Video Segmentation via Temporal Pseudo Supervision, Yun Xing, Dayan Guan, Jiaxing Huang, and Shijian Lu
Stabilizing Adversarially Learned One-Class Novelty Detection Using Pseudo Anomalies, Muhammad Zaigham Zaheer, Jin Ha Lee, Arif Mahmood, Marcella Astrid, and Seung Ik Lee
Generative Cooperative Learning for Unsupervised Video Anomaly Detection, M. Zaigham Zaheer, Arif Mahmood, Muhammad Haris Khan, Mattia Segù, Fisher Yu, and Seung-Ik Lee
Learning Enriched Features for Fast Image Restoration and Enhancement, Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, and Ling Shao
Deep RGB-D Saliency Detection Without Depth, Yuan Fang Zhang, Jiangbin Zheng, Wenjing Jia, Wenfeng Huang, Long Li, Nian Liu, Fei Li, and Xiangjian He
Submissions from 2021
UBnormal: New benchmark for supervised open-set video anomaly detection, Andra Acsintoae, Andrei Florescu, Mariana-Iuliana Georgescu, Tudor Mare, Paul Sumedrea, Radu Tudor Ionescu, Fahad Shahbaz Khan, and Mubarak Shah
Rich Semantics Improve Few-Shot Learning, Mohamed Afham, Salman Khan, Muhammad Haris Khan, Muzammal Naseer, and Fahad Shahbaz Khan
Low light image enhancement via global and local context modeling, Aditya Arora, Muhammad Haris, Syed Waqas Zamir, Munawar Hayat, Fahad Shahbaz Khan, Ling Shao, and Ming-Hsuan Yang
Handwriting Transformers, Ankan Kumar Bhunia, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, and Mubarak A. Shah
From handcrafted to deep features for pedestrian detection: A survey, Jiale Cao, Yanwei Pang, Jin Xie, Fahad Shahbaz Khan, and Ling Shao