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ORCIDNavid Kardan
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2020 – today
- 2023
[c8]Sarinda Samarasinghe, Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah:
CDFSL-V: Cross-Domain Few-Shot Learning for Videos. ICCV 2023: 11609-11618- [c7]James Beetham, Navid Kardan, Ajmal Saeed Mian, Mubarak Shah:
Dual Student Networks for Data-Free Model Stealing. ICLR 2023 - [i7]Sarinda Samarasinghe, Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah:
CDFSL-V: Cross-Domain Few-Shot Learning for Videos. CoRR abs/2309.03989 (2023) - [i6]James Beetham, Navid Kardan, Ajmal Mian, Mubarak Shah:
Dual Student Networks for Data-Free Model Stealing. CoRR abs/2309.10058 (2023) - 2022
- [c6]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: 382-401 - [c5]Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah:
Towards Realistic Semi-supervised Learning. ECCV (31) 2022: 437-455 - [c4]Navid Kardan, Mubarak Shah, Mitch Hill:
Self-Joint Supervised Learning. ICLR 2022 - [c3]James Beetham, Navid Kardan, Ajmal Mian
, Mubarak Shah:
Detecting Compromised Architecture/Weights of a Deep Model. ICPR 2022: 2843-2849 - [i5]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 abs/2207.02261 (2022) - [i4]Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah:
Towards Realistic Semi-Supervised Learning. CoRR abs/2207.02269 (2022) - 2021
- [j1]Naveed Akhtar, Ajmal Mian, Navid Kardan, Mubarak Shah:
Advances in Adversarial Attacks and Defenses in Computer Vision: A Survey. IEEE Access 9: 155161-155196 (2021) - [c2]Navid Kardan, Ankit Sharma, Kenneth O. Stanley:
Towards Consistent Predictive Confidence through Fitted Ensembles. IJCNN 2021: 1-9 - [i3]Navid Kardan, Ankit Sharma, Kenneth O. Stanley:
Towards Consistent Predictive Confidence through Fitted Ensembles. CoRR abs/2106.12070 (2021) - [i2]Naveed Akhtar, Ajmal Mian, Navid Kardan, Mubarak Shah:
Threat of Adversarial Attacks on Deep Learning in Computer Vision: Survey II. CoRR abs/2108.00401 (2021)
2010 – 2019
- 2017
- [c1]Navid Kardan, Kenneth O. Stanley:
Mitigating fooling with competitive overcomplete output layer neural networks. IJCNN 2017: 518-525 - 2016
- [i1]Navid Kardan, Kenneth O. Stanley:
Fitted Learning: Models with Awareness of their Limits. CoRR abs/1609.02226 (2016)
Coauthor Index
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