Navid Kardan

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 16

Top Topics

Computer Vision

Manifold Regularization

Supervised Learning

Top Venues

Publications

Sarinda Samarasinghe, Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah
CDFSL-V: Cross-Domain Few-Shot Learning for Videos. CoRR (2023)
Sarinda Samarasinghe, Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah
CDFSL-V: Cross-Domain Few-Shot Learning for Videos. ICCV (2023)
James Beetham, Navid Kardan, Ajmal Saeed Mian, Mubarak Shah
Dual Student Networks for Data-Free Model Stealing. ICLR (2023)
James Beetham, Navid Kardan, Ajmal Mian, Mubarak Shah
Dual Student Networks for Data-Free Model Stealing. CoRR (2023)
Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah
Towards Realistic Semi-Supervised Learning. CoRR (2022)
James Beetham, Navid Kardan, Ajmal Mian, Mubarak Shah
Detecting Compromised Architecture/Weights of a Deep Model. ICPR (2022)
Mamshad Nayeem Rizve, Navid Kardan, Salman Khan, Fahad Shahbaz Khan, Mubarak Shah
OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning. CoRR (2022)
Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah
Towards Realistic Semi-supervised Learning. ECCV (31) (2022)
Mamshad Nayeem Rizve, Navid Kardan, Salman Khan, Fahad Shahbaz Khan, Mubarak Shah
OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning. ECCV (31) (2022)
Navid Kardan, Mubarak Shah, Mitch Hill
Self-Joint Supervised Learning. ICLR (2022)
Naveed Akhtar, Ajmal Mian, Navid Kardan, Mubarak Shah
Threat of Adversarial Attacks on Deep Learning in Computer Vision: Survey II. CoRR (2021)
Naveed Akhtar, Ajmal Mian, Navid Kardan, Mubarak Shah
Advances in Adversarial Attacks and Defenses in Computer Vision: A Survey. IEEE Access 9 (2021)
Navid Kardan, Ankit Sharma, Kenneth O. Stanley
Towards Consistent Predictive Confidence through Fitted Ensembles. IJCNN (2021)
Navid Kardan, Ankit Sharma, Kenneth O. Stanley
Towards Consistent Predictive Confidence through Fitted Ensembles. CoRR (2021)
Navid Kardan, Kenneth O. Stanley
Mitigating fooling with competitive overcomplete output layer neural networks. IJCNN (2017)
Navid Kardan, Kenneth O. Stanley
Fitted Learning: Models with Awareness of their Limits. CoRR (2016)