Improvement in Deep Networks for Optimization Using eXplainable Artificial Intelligence. - Jin Ha Lee 002; Ik hee Shin; Sang gu Jeong; Seung-Ik Lee; Muhamamad Zaigham Zaheer; Beom-Su Seo (ICTC, 2019)

A Brief Survey on Contemporary Methods for Anomaly Detection in Videos. - Muhammad Zaigham Zaheer; Jin Ha Lee 002; Seung-Ik Lee; Beom-Su Seo (ICTC, 2019)

SmoothMix: a Simple Yet Effective Data Augmentation to Train Robust Classifiers. - Jin-Ha Lee 002; Muhammad Zaigham Zaheer; Marcella Astrid; Seung-Ik Lee (CVPR Workshops, 2020)

Old Is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm. - Muhammad Zaigham Zaheer; Jin-Ha Lee 002; Marcella Astrid; Seung-Ik Lee (CVPR, 2020)

CLAWS: Clustering Assisted Weakly Supervised Learning with Normalcy Suppression for Anomalous Event Detection. - Muhammad Zaigham Zaheer; Arif Mahmood; Marcella Astrid; Seung-Ik Lee (ECCV (22), 2020)

For Safer Navigation: Pedestrian-View Intersection Classification. - Marcella Astrid; Jin Ha Lee 002; Muhammad Zaigham Zaheer; Jae-Yeong Lee; Seung-Ik Lee (ICTC, 2020)

A Self-Reasoning Framework for Anomaly Detection Using Video-Level Labels. - Muhammad Zaigham Zaheer; Arif Mahmood; Hochul Shin; Seung-Ik Lee (IEEE Signal Process. Lett., 2020)

Learning Not to Reconstruct Anomalies. - Marcella Astrid; Muhammad Zaigham Zaheer; Jae-Yeong Lee; Seung-Ik Lee (BMVC, 2021)

Deep Visual Anomaly Detection with Negative Learning. - Jin Ha Lee 002; Marcella Astrid; Muhammad Zaigham Zaheer; Seung-Ik Lee (IW-FCV, 2021)

Synthetic Temporal Anomaly Guided End-to-End Video Anomaly Detection. - Marcella Astrid; Muhammad Zaigham Zaheer; Seung-Ik Lee (ICCVW, 2021)

An Anomaly Detection System via Moving Surveillance Robots with Human Collaboration. - Muhammad Zaigham Zaheer; Arif Mahmood; Muhammad Haris Khan; Marcella Astrid; Seung-Ik Lee (ICCVW, 2021)

Domain-Robust Pedestrian-View Intersection Classification. - Marcella Astrid; Muhammad Zaigham Zaheer; Jae-Yeong Lee; Seung-Ik Lee (ICTC, 2021)

Cleaning Label Noise with Clusters for Minimally Supervised Anomaly Detection. - Muhammad Zaigham Zaheer; Jin-Ha Lee 002; Marcella Astrid; Arif Mahmood; Seung-Ik Lee (CoRR, 2021)

4G-VOS: Video Object Segmentation using guided context embedding. - Mustansar Fiaz; Muhammad Zaigham Zaheer; Arif Mahmood; Seung-Ik Lee; Soon Ki Jung (Knowl. Based Syst., 2021)

Face Pyramid Vision Transformer. - Khawar Islam; Muhammad Zaigham Zaheer; Arif Mahmood (BMVC, 2022)

Generative Cooperative Learning for Unsupervised Video Anomaly Detection. - Muhammad Zaigham Zaheer; Arif Mahmood; Muhammad Haris Khan; Mattia Segù; Fisher Yu 001; Seung-Ik Lee (CVPR, 2022)

Limiting Reconstruction Capability of Autoencoders Using Moving Backward Pseudo Anomalies. - Marcella Astrid; Muhammad Zaigham Zaheer; Seung-Ik Lee (UR, 2022)

Fingerprint Liveness Detection Schemes: A Review on Presentation Attack. - Divine Senanu Ametefe; Suzi Seroja Sarnin; Darmawaty Mohd Ali; Muhammad Zaigham Zaheer (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2022)

Stabilizing Adversarially Learned One-Class Novelty Detection Using Pseudo Anomalies. - Muhammad Zaigham Zaheer; Jin Ha Lee 002; Arif Mahmood; Marcella Astrid; Seung-Ik Lee (IEEE Trans. Image Process., 2022)

Single-branch Network for Multimodal Training. - Muhammad Saad Saeed; Shah Nawaz; Muhammad Haris Khan; Muhammad Zaigham Zaheer; Karthik Nandakumar; Muhammad Haroon Yousaf; Arif Mahmood (ICASSP, 2023)

DCTM: Dilated Convolutional Transformer Model for Multimodal Engagement Estimation in Conversation. - Vu Ngoc Tu; Van Thong Huynh; Hyung-Jeong Yang; Soo-Hyung Kim; Shah Nawaz; Karthik Nandakumar; Muhammad Zaigham Zaheer (ACM Multimedia, 2023)

PseudoBound: Limiting the anomaly reconstruction capability of one-class classifiers using pseudo anomalies. - Marcella Astrid; Muhammad Zaigham Zaheer; Seung-Ik Lee (Neurocomputing, 2023)

Fingerprint pattern classification using deep transfer learning and data augmentation. - Divine Senanu Ametefe; Suzi Seroja Sarnin; Darmawaty Mohd Ali; Muhammad Zaigham Zaheer (Vis. Comput., 2023)

Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline. - Anas Al-lahham; Muhammad Zaigham Zaheer; Nurbek Tastan; Karthik Nandakumar (CVPR, 2024)

Diffusemix: Label-Preserving Data Augmentation with Diffusion Models. - Khawar Islam; Muhammad Zaigham Zaheer; Arif Mahmood; Karthik Nandakumar (CVPR, 2024)

Feature Map Purification for Enhancing Adversarial Robustness of Deep Timeseries Classifiers. - Mubarak G. Abdu-Aguye; Muhammad Zaigham Zaheer; Karthik Nandakumar (ICDM, 2024)

A Synopsis of FAME 2024 Challenge: Associating Faces with Voices in Multilingual Environments. - Muhammad Saad Saeed; Shah Nawaz; Marta Moscati; Rohan Kumar Das; Muhammad Salman Tahir; Muhammad Zaigham Zaheer; Muhammad Irzam Liaqat; Muhammad Haris Khan; Karthik Nandakumar; Muhammad Haroon Yousaf; Markus Schedl (ACM Multimedia, 2024)

A Coarse-to-Fine Pseudo-Labeling (C2FPL) Framework for Unsupervised Video Anomaly Detection. - Anas Al-Lahham; Nurbek Tastan; Muhammad Zaigham Zaheer; Karthik Nandakumar (WACV, 2024)

A Multi-Head Approach with Shuffled Segments for Weakly-Supervised Video Anomaly Detection. - Salem AlMarri; Muhammad Zaigham Zaheer; Karthik Nandakumar (WACV (Workshops), 2024)

Constricting Normal Latent Space for Anomaly Detection with Normal-only Training Data. - Marcella Astrid; Muhammad Zaigham Zaheer; Seung-Ik Lee (CoRR, 2024)

Face-voice Association in Multilingual Environments (FAME) Challenge 2024 Evaluation Plan. - Muhammad Saad Saeed; Shah Nawaz; Muhammad Salman Tahir; Rohan Kumar Das; Muhammad Zaigham Zaheer; Marta Moscati; Markus Schedl; Muhammad Haris Khan; Karthik Nandakumar; Muhammad Haroon Yousaf (CoRR, 2024)

Chameleon: Images Are What You Need For Multimodal Learning Robust To Missing Modalities. - Muhammad Irzam Liaqat; Shah Nawaz; Muhammad Zaigham Zaheer; Muhammad Saad Saeed; Hassan Sajjad 001; Tom De Schepper; Karthik Nandakumar; Muhammad Haris Khan; Markus Schedl (CoRR, 2024)

Modality Invariant Multimodal Learning to Handle Missing Modalities: A Single-Branch Approach. - Muhammad Saad Saeed; Shah Nawaz; Muhammad Zaigham Zaheer; Muhammad Haris Khan; Karthik Nandakumar; Muhammad Haroon Yousaf; Hassan Sajjad 001; Tom De Schepper; Markus Schedl (CoRR, 2024)

A Survey of the Self Supervised Learning Mechanisms for Vision Transformers. - Asifullah Khan; Anabia Sohail; Mustansar Fiaz; Mehdi Hassan; Tariq Habib Afridi; Sibghat Ullah Marwat; Farzeen Munir; Safdar Ali; Hannan Naseem; Muhammad Zaigham Zaheer; Kamran Ali; Tangina Sultana; et al. (CoRR, 2024)

GenMix: Effective Data Augmentation with Generative Diffusion Model Image Editing. - Khawar Islam; Muhammad Zaigham Zaheer; Arif Mahmood; Karthik Nandakumar; Naveed Akhtar (CoRR, 2024)

Exploiting autoencoder's weakness to generate pseudo anomalies. - Marcella Astrid; Muhammad Zaigham Zaheer; Djamila Aouada; Seung-Ik Lee (Neural Comput. Appl., 2024)

Clustering Aided Weakly Supervised Training to Detect Anomalous Events in Surveillance Videos. - Muhammad Zaigham Zaheer; Arif Mahmood; Marcella Astrid; Seung-Ik Lee (IEEE Trans. Neural Networks Learn. Syst., 2024)

ARDGen: Augmentation Regularization for Domain-Generalized Medical Report Generation. - Syed Bilal Ahsan; Muhammad Ikhalas; Muhammad Muzamil Khan; Sana Ullah; Muhammad Zaigham Zaheer (CVPR Workshops, 2025)

Chameleon: A Multimodal Learning Framework Robust to Missing Modalities. - Muhammad Irzam Liaqat; Shah Nawaz; Muhammad Zaigham Zaheer; Muhammad Saad Saeed; Hassan Sajjad 001; Tom De Schepper; Karthik Nandakumar; Muhammad Haris Khan; Ignazio Gallo; Markus Schedl (Int. J. Multim. Inf. Retr., 2025)

AI in Agriculture: A Survey of Deep Learning Techniques for Crops, Fisheries and Livestock. - Umair Nawaz; Muhammad Zaigham Zaheer; Fahad Shahbaz Khan; Hisham Cholakkal; Salman H. Khan 001; Rao Muhammad Anwer (CoRR, 2025)

Face-voice Association in Multilingual Environments (FAME) 2026 Challenge Evaluation Plan. - Marta Moscati; Ahmed Abdullah; Muhammad Saad Saeed; Shah Nawaz; Rohan Kumar Das; Muhammad Zaigham Zaheer; Junaid Mir; Muhammad Haroon Yousaf; Khalid Malik; Markus Schedl (CoRR, 2025)