Muhammad Zaigham Zaheer

62 papers A* 7A 3Misc 1Journal 40Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Face-Voice Association with Inductive Bias for Maximum Class Separation. CoRR Marta Moscati, Oleksandr Kats, Mubashir Noman, Muhammad Zaigham Zaheer, Yufang Hou, Markus Schedl, Shah Nawaz
2026	J	`jnl`	GenMix: Effective data augmentation with generative diffusion model image editing. Expert Syst. Appl. Khawar Islam, Muhammad Zaigham Zaheer, Arif Mahmood, Karthik Nandakumar, Naveed Akhtar
2026	J	`jnl`	OpenEarthAgent: A Unified Framework for Tool-Augmented Geospatial Agents. CoRR Akashah Shabbir, Muhammad Umer Sheikh, Muhammad Akhtar Munir, Hiyam Debary, Mustansar Fiaz, Muhammad Zaigham Zaheer, Paolo Fraccaro, Fahad Shahbaz Khan, Muhammad Haris Khan, Xiao Xiang Zhu, Salman H. Khan
2025	J	`jnl`	AI in Agriculture: A Survey of Deep Learning Techniques for Crops, Fisheries and Livestock. CoRR Umair Nawaz, Muhammad Zaigham Zaheer, Fahad Shahbaz Khan, Hisham Cholakkal, Salman H. Khan, Rao Muhammad Anwer
2025	—	`conf`	ARDGen: Augmentation Regularization for Domain-Generalized Medical Report Generation. CVPR Workshops Syed Bilal Ahsan, Muhammad Ikhalas, Muhammad Muzamil Khan, Sana Ullah, Muhammad Zaigham Zaheer
2025	J	`jnl`	Chameleon: A Multimodal Learning Framework Robust to Missing Modalities. Int. J. Multim. Inf. Retr. Muhammad Irzam Liaqat, Shah Nawaz, Muhammad Zaigham Zaheer, Muhammad Saad Saeed, Hassan Sajjad, Tom De Schepper, Karthik Nandakumar, Muhammad Haris Khan, Ignazio Gallo, Markus Schedl
2025	J	`jnl`	Face-voice Association in Multilingual Environments (FAME) 2026 Challenge Evaluation Plan. CoRR Marta Moscati, Ahmed Abdullah, Muhammad Saad Saeed, Shah Nawaz, Rohan Kumar Das, Muhammad Zaigham Zaheer, Junaid Mir, Muhammad Haroon Yousaf, Khalid Malik, Markus Schedl
2025	J	`jnl`	Linking Faces and Voices Across Languages: Insights from the FAME 2026 Challenge. CoRR Marta Moscati, Ahmed Abdullah, Muhammad Saad Saeed, Shah Nawaz, Rohan Kumar Das, Muhammad Zaigham Zaheer, Junaid Mir, Muhammad Haroon Yousaf, Khalid Mahmood Malik, Markus Schedl
2025	J	`jnl`	RobustA: Robust Anomaly Detection in Multimodal Data. CoRR Salem AlMarri, Muhammad Irzam Liaqat, Muhammad Zaigham Zaheer, Shah Nawaz, Karthik Nandakumar, Markus Schedl
2024	A	`conf`	A Coarse-to-Fine Pseudo-Labeling (C2FPL) Framework for Unsupervised Video Anomaly Detection. WACV Anas Al-lahham, Nurbek Tastan, Muhammad Zaigham Zaheer, Karthik Nandakumar
2024	—	`conf`	A Multi-Head Approach with Shuffled Segments for Weakly-Supervised Video Anomaly Detection. WACV (Workshops) Salem AlMarri, Muhammad Zaigham Zaheer, Karthik Nandakumar
2024	J	`jnl`	A Survey of the Self Supervised Learning Mechanisms for Vision Transformers. CoRR 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, ZiaurRehman Tanoli, Naeem Akhter
2024	A*	`conf`	A Synopsis of FAME 2024 Challenge: Associating Faces with Voices in Multilingual Environments. ACM Multimedia 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
2024	J	`jnl`	Chameleon: Images Are What You Need For Multimodal Learning Robust To Missing Modalities. CoRR Muhammad Irzam Liaqat, Shah Nawaz, Muhammad Zaigham Zaheer, Muhammad Saad Saeed, Hassan Sajjad, Tom De Schepper, Karthik Nandakumar, Muhammad Haris Khan, Markus Schedl
2024	J	`jnl`	Clustering Aided Weakly Supervised Training to Detect Anomalous Events in Surveillance Videos. IEEE Trans. Neural Networks Learn. Syst. Muhammad Zaigham Zaheer, Arif Mahmood, Marcella Astrid, Seung-Ik Lee
2024	A*	`conf`	Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline. CVPR Anas Al-lahham, Muhammad Zaigham Zaheer, Nurbek Tastan, Karthik Nandakumar
2024	J	`jnl`	Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline. CoRR Anas Al-lahham, Muhammad Zaigham Zaheer, Nurbek Tastan, Karthik Nandakumar
2024	J	`jnl`	Constricting Normal Latent Space for Anomaly Detection with Normal-only Training Data. CoRR Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee
2024	J	`jnl`	DiffuseMix: Label-Preserving Data Augmentation with Diffusion Models. CoRR Khawar Islam, Muhammad Zaigham Zaheer, Arif Mahmood, Karthik Nandakumar
2024	A*	`conf`	Diffusemix: Label-Preserving Data Augmentation with Diffusion Models. CVPR Khawar Islam, Muhammad Zaigham Zaheer, Arif Mahmood, Karthik Nandakumar
2024	J	`jnl`	Exploiting Autoencoder's Weakness to Generate Pseudo Anomalies. CoRR Marcella Astrid, Muhammad Zaigham Zaheer, Djamila Aouada, Seung-Ik Lee
2024	J	`jnl`	Exploiting autoencoder's weakness to generate pseudo anomalies. Neural Comput. Appl. Marcella Astrid, Muhammad Zaigham Zaheer, Djamila Aouada, Seung-Ik Lee
2024	J	`jnl`	Face-voice Association in Multilingual Environments (FAME) Challenge 2024 Evaluation Plan. CoRR 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
2024	A*	`conf`	Feature Map Purification for Enhancing Adversarial Robustness of Deep Timeseries Classifiers. ICDM Mubarak G. Abdu-Aguye, Muhammad Zaigham Zaheer, Karthik Nandakumar
2024	J	`jnl`	GenMix: Effective Data Augmentation with Generative Diffusion Model Image Editing. CoRR Khawar Islam, Muhammad Zaigham Zaheer, Arif Mahmood, Karthik Nandakumar, Naveed Akhtar
2024	J	`jnl`	Modality Invariant Multimodal Learning to Handle Missing Modalities: A Single-Branch Approach. CoRR Muhammad Saad Saeed, Shah Nawaz, Muhammad Zaigham Zaheer, Muhammad Haris Khan, Karthik Nandakumar, Muhammad Haroon Yousaf, Hassan Sajjad, Tom De Schepper, Markus Schedl
2023	J	`jnl`	A Coarse-to-Fine Pseudo-Labeling (C2FPL) Framework for Unsupervised Video Anomaly Detection. CoRR Anas Al-lahham, Nurbek Tastan, Muhammad Zaigham Zaheer, Karthik Nandakumar
2023	A*	`conf`	DCTM: Dilated Convolutional Transformer Model for Multimodal Engagement Estimation in Conversation. ACM Multimedia Vu Ngoc Tu, Van Thong Huynh, Hyung-Jeong Yang, Soo-Hyung Kim, Shah Nawaz, Karthik Nandakumar, Muhammad Zaigham Zaheer
2023	J	`jnl`	DCTM: Dilated Convolutional Transformer Model for Multimodal Engagement Estimation in Conversation. CoRR Vu Ngoc Tu, Van Thong Huynh, Hyung-Jeong Yang, Muhammad Zaigham Zaheer, Shah Nawaz, Karthik Nandakumar, Soo-Hyung Kim
2023	J	`jnl`	Fingerprint pattern classification using deep transfer learning and data augmentation. Vis. Comput. Divine Senanu Ametefe, Suzi Seroja Sarnin, Darmawaty Mohd Ali, Muhammad Zaigham Zaheer
2023	J	`jnl`	PseudoBound: Limiting the anomaly reconstruction capability of one-class classifiers using pseudo anomalies. CoRR Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee
2023	J	`jnl`	PseudoBound: Limiting the anomaly reconstruction capability of one-class classifiers using pseudo anomalies. Neurocomputing Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee
2023	Misc	`conf`	Single-branch Network for Multimodal Training. ICASSP Muhammad Saad Saeed, Shah Nawaz, Muhammad Haris Khan, Muhammad Zaigham Zaheer, Karthik Nandakumar, Muhammad Haroon Yousaf, Arif Mahmood
2023	J	`jnl`	Single-branch Network for Multimodal Training. CoRR Muhammad Saad Saeed, Shah Nawaz, Muhammad Haris Khan, Muhammad Zaigham Zaheer, Karthik Nandakumar, Muhammad Haroon Yousaf, Arif Mahmood
2022	J	`jnl`	Clustering Aided Weakly Supervised Training to Detect Anomalous Events in Surveillance Videos. CoRR Muhammad Zaigham Zaheer, Arif Mahmood, Marcella Astrid, Seung-Ik Lee
2022	A	`conf`	Face Pyramid Vision Transformer. BMVC Khawar Islam, Muhammad Zaigham Zaheer, Arif Mahmood
2022	J	`jnl`	Face Pyramid Vision Transformer. CoRR Khawar Islam, Muhammad Zaigham Zaheer, Arif Mahmood
2022	J	`jnl`	Fingerprint Liveness Detection Schemes: A Review on Presentation Attack. Comput. methods Biomech. Biomed. Eng. Imaging Vis. Divine Senanu Ametefe, Suzi Seroja Sarnin, Darmawaty Mohd Ali, Muhammad Zaigham Zaheer
2022	A*	`conf`	Generative Cooperative Learning for Unsupervised Video Anomaly Detection. CVPR Muhammad Zaigham Zaheer, Arif Mahmood, Muhammad Haris Khan, Mattia Segù, Fisher Yu, Seung-Ik Lee
2022	J	`jnl`	Generative Cooperative Learning for Unsupervised Video Anomaly Detection. CoRR Muhammad Zaigham Zaheer, Arif Mahmood, Muhammad Haris Khan, Mattia Segù, Fisher Yu, Seung-Ik Lee
2022	—	`conf`	Limiting Reconstruction Capability of Autoencoders Using Moving Backward Pseudo Anomalies. UR Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee
2022	J	`jnl`	Stabilizing Adversarially Learned One-Class Novelty Detection Using Pseudo Anomalies. CoRR Muhammad Zaigham Zaheer, Jin Ha Lee, Arif Mahmood, Marcella Astrid, Seung-Ik Lee
2022	J	`jnl`	Stabilizing Adversarially Learned One-Class Novelty Detection Using Pseudo Anomalies. IEEE Trans. Image Process. Muhammad Zaigham Zaheer, Jin Ha Lee, Arif Mahmood, Marcella Astrid, Seung-Ik Lee
2021	J	`jnl`	4G-VOS: Video Object Segmentation using guided context embedding. Knowl. Based Syst. Mustansar Fiaz, Muhammad Zaigham Zaheer, Arif Mahmood, Seung-Ik Lee, Soon Ki Jung
2021	—	`conf`	An Anomaly Detection System via Moving Surveillance Robots with Human Collaboration. ICCVW Muhammad Zaigham Zaheer, Arif Mahmood, Muhammad Haris Khan, Marcella Astrid, Seung-Ik Lee
2021	J	`jnl`	Cleaning Label Noise with Clusters for Minimally Supervised Anomaly Detection. CoRR Muhammad Zaigham Zaheer, Jin-Ha Lee, Marcella Astrid, Arif Mahmood, Seung-Ik Lee
2021	—	`conf`	Deep Visual Anomaly Detection with Negative Learning. IW-FCV Jin Ha Lee, Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee
2021	J	`jnl`	Deep Visual Anomaly detection with Negative Learning. CoRR Jin Ha Lee, Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee
2021	—	`conf`	Domain-Robust Pedestrian-View Intersection Classification. ICTC Marcella Astrid, Muhammad Zaigham Zaheer, Jae-Yeong Lee, Seung-Ik Lee
2021	A	`conf`	Learning Not to Reconstruct Anomalies. BMVC Marcella Astrid, Muhammad Zaigham Zaheer, Jae-Yeong Lee, Seung-Ik Lee
2021	J	`jnl`	Learning Not to Reconstruct Anomalies. CoRR Marcella Astrid, Muhammad Zaigham Zaheer, Jae-Yeong Lee, Seung-Ik Lee
2021	—	`conf`	Synthetic Temporal Anomaly Guided End-to-End Video Anomaly Detection. ICCVW Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee
2021	J	`jnl`	Synthetic Temporal Anomaly Guided End-to-End Video Anomaly Detection. CoRR Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee
2020	J	`jnl`	A Self-Reasoning Framework for Anomaly Detection Using Video-Level Labels. CoRR Muhammad Zaigham Zaheer, Arif Mahmood, Hochul Shin, Seung-Ik Lee
2020	J	`jnl`	A Self-Reasoning Framework for Anomaly Detection Using Video-Level Labels. IEEE Signal Process. Lett. Muhammad Zaigham Zaheer, Arif Mahmood, Hochul Shin, Seung-Ik Lee
2020	—	`conf`	CLAWS: Clustering Assisted Weakly Supervised Learning with Normalcy Suppression for Anomalous Event Detection. ECCV (22) Muhammad Zaigham Zaheer, Arif Mahmood, Marcella Astrid, Seung-Ik Lee
2020	J	`jnl`	CLAWS: Clustering Assisted Weakly Supervised Learning with Normalcy Suppression for Anomalous Event Detection. CoRR Muhammad Zaigham Zaheer, Arif Mahmood, Marcella Astrid, Seung-Ik Lee
2020	—	`conf`	For Safer Navigation: Pedestrian-View Intersection Classification. ICTC Marcella Astrid, Jin Ha Lee, Muhammad Zaigham Zaheer, Jae-Yeong Lee, Seung-Ik Lee
2020	A*	`conf`	Old Is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm. CVPR Muhammad Zaigham Zaheer, Jin-Ha Lee, Marcella Astrid, Seung-Ik Lee
2020	J	`jnl`	Old is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm. CoRR Muhammad Zaigham Zaheer, Jin Ha Lee, Marcella Astrid, Seung-Ik Lee
2020	—	`conf`	SmoothMix: a Simple Yet Effective Data Augmentation to Train Robust Classifiers. CVPR Workshops Jin-Ha Lee, Muhammad Zaigham Zaheer, Marcella Astrid, Seung-Ik Lee
2019	—	`conf`	A Brief Survey on Contemporary Methods for Anomaly Detection in Videos. ICTC Muhammad Zaigham Zaheer, Jin Ha Lee, Seung-Ik Lee, Beom-Su Seo