Why you should choose UST as your graduate university
Zaigham Zaheer
Why you should choose UST as your graduate university
3:05
1 min video - Clustering Assisted Weakly Supervised Learning for Anomalous Event Detection | ECCV20
Zaigham Zaheer
1 min video - Clustering Assisted Weakly Supervised Learning for Anomalous Event Detection | ECCV20
1:01
CLAWS Net ECCV 2020 Paper Experimental Results on UCF Crime Dataset
Zaigham Zaheer
CLAWS Net ECCV 2020 Paper Experimental Results on UCF Crime Dataset
8:36
10 min - Clustering Assisted Weakly Supervised Learning for Anomalous Event Detection | ECCV2020
Zaigham Zaheer
10 min - Clustering Assisted Weakly Supervised Learning for Anomalous Event Detection | ECCV2020
10:00
'Old is Gold-Net' CVPR 2020, results on UCSD Pedestrian 2 anomaly dataset
Zaigham Zaheer
'Old is Gold-Net' CVPR 2020, results on UCSD Pedestrian 2 anomaly dataset
3:53
Cleaning Label Noise with Clusters for Minimally Supervised Anomaly Detection - CVPR2020 Talk
Zaigham Zaheer
Cleaning Label Noise with Clusters for Minimally Supervised Anomaly Detection - CVPR2020 Talk
10:00
SmoothMix: A Simple Yet Effective Data Augmentation to Train Robust Classifiers - CVPR W 2020 oral
Zaigham Zaheer
SmoothMix: A Simple Yet Effective Data Augmentation to Train Robust Classifiers - CVPR W 2020 oral
4:01
Old is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm - 1 min
Zaigham Zaheer
Old is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm - 1 min
1:01
AlexNet Compression 2/2
Zaigham Zaheer
AlexNet Compression 2/2
1:11
AlexNet Compression 1/2
Zaigham Zaheer
AlexNet Compression 1/2
1:24
GoogleNet Compression
Zaigham Zaheer
GoogleNet Compression
1:11
Visual Anomaly Detection - 2/3
Zaigham Zaheer
Visual Anomaly Detection - 2/3
0:12
Visual Anomaly Detection - 1/3
Zaigham Zaheer
Visual Anomaly Detection - 1/3
0:05
Visual Anomaly Detection - 3/3
Zaigham Zaheer
Visual Anomaly Detection - 3/3
0:20
Boseong Green Tea Field Trip
Zaigham Zaheer
Boseong Green Tea Field Trip
4:29