Towards Enabling Haptic Communications over 6G: Issues and Challenges von Awais, Muhammad, Ullah Khan, Fasih, Zafar, Muhammad, Mudassar, Muhammad, Zaigham Zaheer, Muhammad, Mehmood Cheema, Khalid, Kamran, Muhammad, Jung, Woo-Sung

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A Self-Reasoning Framework for Anomaly Detection Using Video-Level Labels von Zaheer, Muhammad Zaigham, Mahmood, Arif, Shin, Hochul, Lee, Seung-Ik

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Stabilizing Adversarially Learned One-Class Novelty Detection Using Pseudo Anomalies von Zaheer, Muhammad Zaigham, Lee, Jin-Ha, Mahmood, Arif, Astrid, Marcella, Lee, Seung-Ik

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Clustering Aided Weakly Supervised Training to Detect Anomalous Events in Surveillance Videos von Zaheer, Muhammad Zaigham, Mahmood, Arif, Astrid, Marcella, Lee, Seung-Ik

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PseudoBound: Limiting the anomaly reconstruction capability of one-class classifiers using pseudo anomalies von Astrid, Marcella, Zaheer, Muhammad Zaigham, Lee, Seung-Ik

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Exploiting Autoencoder's Weakness to Generate Pseudo Anomalies von Marcella Astrid, Muhammad Zaigham Zaheer, Aouada, Djamila, Lee, Seung-Ik

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CLAWS: Clustering Assisted Weakly Supervised Learning with Normalcy Suppression for Anomalous Event Detection von Zaheer, Muhammad Zaigham, Mahmood, Arif, Astrid, Marcella, Lee, Seung-Ik

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Fingerprint pattern classification using deep transfer learning and data augmentation von Ametefe, Divine Senanu, Sarnin, Suzi Seroja, Ali, Darmawaty Mohd, Muhammad, Zaigham Zaheer

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PseudoBound: Limiting the anomaly reconstruction capability of one-class classifiers using pseudo anomalies von Marcella Astrid, Muhammad Zaigham Zaheer, Lee, Seung-Ik

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Exploiting autoencoder’s weakness to generate pseudo anomalies von Astrid, Marcella, Zaheer, Muhammad Zaigham, Aouada, Djamila, Lee, Seung-Ik

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4G-VOS: Video Object Segmentation using guided context embedding von Fiaz, Mustansar, Zaheer, Muhammad Zaigham, Mahmood, Arif, Lee, Seung-Ik, Jung, Soon Ki

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A Self-Reasoning Framework for Anomaly Detection Using Video-Level Labels von Muhammad Zaigham Zaheer, Mahmood, Arif, Shin, Hochul, Lee, Seung-Ik

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Face Pyramid Vision Transformer von Islam, Khawar, Zaheer, Muhammad Zaigham, Mahmood, Arif

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DiffuseMix: Label-Preserving Data Augmentation with Diffusion Models von Islam, Khawar, Zaheer, Muhammad Zaigham, Mahmood, Arif, Nandakumar, Karthik

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

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Constricting Normal Latent Space for Anomaly Detection with Normal-only Training Data von Astrid, Marcella, Zaheer, Muhammad Zaigham, Lee, Seung-Ik

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GenMix: Effective Data Augmentation with Generative Diffusion Model Image Editing von Islam, Khawar, Zaheer, Muhammad Zaigham, Mahmood, Arif, Nandakumar, Karthik, Akhtar, Naveed

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Clustering Aided Weakly Supervised Training to Detect Anomalous Events in Surveillance Videos von Zaheer, Muhammad Zaigham, Mahmood, Arif, Astrid, Marcella, Lee, Seung-Ik

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Synthetic Temporal Anomaly Guided End-to-End Video Anomaly Detection von Astrid, Marcella, Zaheer, Muhammad Zaigham, Lee, Seung-Ik

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

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