![](https://dblp.dagstuhl.de/img/logo.ua.320x120.png)
![](https://dblp.dagstuhl.de/img/dropdown.dark.16x16.png)
![](https://dblp.dagstuhl.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.dagstuhl.de/img/search.dark.16x16.png)
![search dblp](https://dblp.dagstuhl.de/img/search.dark.16x16.png)
default search action
Navid Kardan
Person information
Refine list
![note](https://dblp.dagstuhl.de/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
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
![](https://dblp.dagstuhl.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-07-25 19:33 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint