Muhammad Zaigham Zaheer

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 43

Top Topics

Weakly Supervised Learning

Detect Anomalies

Cooperative Learning

Top Venues

Publications

Marcella Astrid, Muhammad Zaigham Zaheer, Djamila Aouada, Seung-Ik Lee
Exploiting Autoencoder's Weakness to Generate Pseudo Anomalies. CoRR (2024)
Khawar Islam, Muhammad Zaigham Zaheer, Arif Mahmood, Karthik Nandakumar
DiffuseMix: Label-Preserving Data Augmentation with Diffusion Models. CoRR (2024)
Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee
Constricting Normal Latent Space for Anomaly Detection with Normal-only Training Data. CoRR (2024)
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
Face-voice Association in Multilingual Environments (FAME) Challenge 2024 Evaluation Plan. CoRR (2024)
Muhammad Irzam Liaqat, Shah Nawaz, Muhammad Zaigham Zaheer, Muhammad Saad Saeed, Hassan Sajjad, Tom De Schepper, Karthik Nandakumar, Muhammad Haris Khan, Markus Schedl
Chameleon: Images Are What You Need For Multimodal Learning Robust To Missing Modalities. CoRR (2024)
Anas Al-Lahham, Nurbek Tastan, Muhammad Zaigham Zaheer, Karthik Nandakumar
A Coarse-to-Fine Pseudo-Labeling (C2FPL) Framework for Unsupervised Video Anomaly Detection. WACV (2024)
Salem AlMarri, Muhammad Zaigham Zaheer, Karthik Nandakumar
A Multi-Head Approach with Shuffled Segments for Weakly-Supervised Video Anomaly Detection. WACV (Workshops) (2024)
Marcella Astrid, Muhammad Zaigham Zaheer, Djamila Aouada, Seung-Ik Lee
Exploiting autoencoder's weakness to generate pseudo anomalies. Neural Comput. Appl. 36 (23) (2024)
Anas Al-Lahham, Muhammad Zaigham Zaheer, Nurbek Tastan, Karthik Nandakumar
Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline. CoRR (2024)
Vu Ngoc Tu, Van Thong Huynh, Hyung-Jeong Yang, Muhammad Zaigham Zaheer, Shah Nawaz, Karthik Nandakumar, Soo-Hyung Kim
DCTM: Dilated Convolutional Transformer Model for Multimodal Engagement Estimation in Conversation. CoRR (2023)
Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee
PseudoBound: Limiting the anomaly reconstruction capability of one-class classifiers using pseudo anomalies. Neurocomputing 534 (2023)
Vu Ngoc Tu, Van Thong Huynh, Hyung-Jeong Yang, Soo-Hyung Kim, Shah Nawaz, Karthik Nandakumar, Muhammad Zaigham Zaheer
DCTM: Dilated Convolutional Transformer Model for Multimodal Engagement Estimation in Conversation. ACM Multimedia (2023)
Muhammad Saad Saeed, Shah Nawaz, Muhammad Haris Khan, Muhammad Zaigham Zaheer, Karthik Nandakumar, Muhammad Haroon Yousaf, Arif Mahmood
Single-branch Network for Multimodal Training. ICASSP (2023)
Anas Al-Lahham, Nurbek Tastan, Muhammad Zaigham Zaheer, Karthik Nandakumar
A Coarse-to-Fine Pseudo-Labeling (C2FPL) Framework for Unsupervised Video Anomaly Detection. CoRR (2023)
Muhammad Saad Saeed, Shah Nawaz, Muhammad Haris Khan, Muhammad Zaigham Zaheer, Karthik Nandakumar, Muhammad Haroon Yousaf, Arif Mahmood
Single-branch Network for Multimodal Training. CoRR (2023)
Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee
PseudoBound: Limiting the anomaly reconstruction capability of one-class classifiers using pseudo anomalies. CoRR (2023)
Khawar Islam, Muhammad Zaigham Zaheer, Arif Mahmood
Face Pyramid Vision Transformer. CoRR (2022)
Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee
Limiting Reconstruction Capability of Autoencoders Using Moving Backward Pseudo Anomalies. UR (2022)
Muhammad Zaigham Zaheer, Arif Mahmood, Marcella Astrid, Seung-Ik Lee
Clustering Aided Weakly Supervised Training to Detect Anomalous Events in Surveillance Videos. CoRR (2022)
Khawar Islam, Muhammad Zaigham Zaheer, Arif Mahmood
Face Pyramid Vision Transformer. BMVC (2022)
Muhammad Zaigham Zaheer, Jin Ha Lee, Arif Mahmood, Marcella Astrid, Seung-Ik Lee
Stabilizing Adversarially Learned One-Class Novelty Detection Using Pseudo Anomalies. IEEE Trans. Image Process. 31 (2022)
Muhammad Zaigham Zaheer, Arif Mahmood, Muhammad Haris Khan, Mattia Segù, Fisher Yu, Seung-Ik Lee
Generative Cooperative Learning for Unsupervised Video Anomaly Detection. CoRR (2022)
Muhammad Zaigham Zaheer, Jin Ha Lee, Arif Mahmood, Marcella Astrid, Seung-Ik Lee
Stabilizing Adversarially Learned One-Class Novelty Detection Using Pseudo Anomalies. CoRR (2022)
Muhammad Zaigham Zaheer, Arif Mahmood, M. Haris Khan, Mattia Segù, Fisher Yu, Seung-Ik Lee
Generative Cooperative Learning for Unsupervised Video Anomaly Detection. CVPR (2022)
Mustansar Fiaz, Muhammad Zaigham Zaheer, Arif Mahmood, Seung-Ik Lee, Soon Ki Jung
4G-VOS: Video Object Segmentation using guided context embedding. Knowl. Based Syst. 231 (2021)
Marcella Astrid, Muhammad Zaigham Zaheer, Jae-Yeong Lee, Seung-Ik Lee
Learning Not to Reconstruct Anomalies. BMVC (2021)
Marcella Astrid, Muhammad Zaigham Zaheer, Jae-Yeong Lee, Seung-Ik Lee
Domain-Robust Pedestrian-View Intersection Classification. ICTC (2021)
Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee
Synthetic Temporal Anomaly Guided End-to-End Video Anomaly Detection. ICCVW (2021)
Jin Ha Lee, Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee
Deep Visual Anomaly detection with Negative Learning. CoRR (2021)
Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee
Synthetic Temporal Anomaly Guided End-to-End Video Anomaly Detection. CoRR (2021)
Marcella Astrid, Muhammad Zaigham Zaheer, Jae-Yeong Lee, Seung-Ik Lee
Learning Not to Reconstruct Anomalies. CoRR (2021)
Muhammad Zaigham Zaheer, Arif Mahmood, M. Haris Khan, Marcella Astrid, Seung-Ik Lee
An Anomaly Detection System via Moving Surveillance Robots with Human Collaboration. ICCVW (2021)
Jin Ha Lee, Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee
Deep Visual Anomaly Detection with Negative Learning. IW-FCV (2021)
Muhammad Zaigham Zaheer, Jin-Ha Lee, Marcella Astrid, Arif Mahmood, Seung-Ik Lee
Cleaning Label Noise with Clusters for Minimally Supervised Anomaly Detection. CoRR (2021)
Marcella Astrid, Jin Ha Lee, Muhammad Zaigham Zaheer, Jae-Yeong Lee, Seung-Ik Lee
For Safer Navigation: Pedestrian-View Intersection Classification. ICTC (2020)
Muhammad Zaigham Zaheer, Jin Ha Lee, Marcella Astrid, Seung-Ik Lee
Old is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm. CoRR (2020)
Muhammad Zaigham Zaheer, Arif Mahmood, Hochul Shin, Seung-Ik Lee
A Self-Reasoning Framework for Anomaly Detection Using Video-Level Labels. IEEE Signal Process. Lett. 27 (2020)
Jin-Ha Lee, Muhammad Zaigham Zaheer, Marcella Astrid, Seung-Ik Lee
SmoothMix: a Simple Yet Effective Data Augmentation to Train Robust Classifiers. CVPR Workshops (2020)
Muhammad Zaigham Zaheer, Arif Mahmood, Marcella Astrid, Seung-Ik Lee
CLAWS: Clustering Assisted Weakly Supervised Learning with Normalcy Suppression for Anomalous Event Detection. ECCV (22) (2020)
Muhammad Zaigham Zaheer, Arif Mahmood, Hochul Shin, Seung-Ik Lee
A Self-Reasoning Framework for Anomaly Detection Using Video-Level Labels. CoRR (2020)
Muhammad Zaigham Zaheer, Arif Mahmood, Marcella Astrid, Seung-Ik Lee
CLAWS: Clustering Assisted Weakly Supervised Learning with Normalcy Suppression for Anomalous Event Detection. CoRR (2020)
Muhammad Zaigham Zaheer, Jin-Ha Lee, Marcella Astrid, Seung-Ik Lee
Old Is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm. CVPR (2020)
Muhammad Zaigham Zaheer, Jin Ha Lee, Seung-Ik Lee, Beom-Su Seo
A Brief Survey on Contemporary Methods for Anomaly Detection in Videos. ICTC (2019)