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Shervin Ardeshir
Shervin Ardeshir
Netflix, Stanford
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
GIS-assisted object detection and geospatial localization
S Ardeshir, AR Zamir, A Torroella, M Shah
European Conference on Computer Vision, 602-617, 2014
872014
Ego2Top: Matching Viewers in Egocentric and Top-view Videos
S Ardeshir, A Borji
European Conference on Computer Vision (ECCV), 2016
732016
Geo-semantic segmentation
S Ardeshir, K Malcolm Collins-Sibley, M Shah
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
522015
Gps-tag refinement using random walks with an adaptive damping factor
A Roshan Zamir, S Ardeshir, M Shah
Proceedings of the ieee conference on computer vision and pattern …, 2014
472014
Egocentric Meets Top-view
S Ardeshir, A Borji
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018
44*2018
On Attention Modules for Audio-Visual Synchronization.
N Khosravan, S Ardeshir, R Puri
CVPR workshops, 25-28, 2019
332019
From third person to first person: Dataset and baselines for synthesis and retrieval
M Elfeki, K Regmi, S Ardeshir, A Borji
arXiv preprint arXiv:1812.00104, 2018
302018
An exocentric look at egocentric actions and vice versa
S Ardeshir, A Borji
Computer Vision and Image Understanding 171, 61-68, 2018
292018
Integrating egocentric videos in top-view surveillance videos: Joint identification and temporal alignment
S Ardeshir, A Borji
Proceedings of the European Conference on Computer Vision (ECCV), 285-300, 2018
262018
Embedding reliability: On the predictability of downstream performance
S Ardeshir, N Azizan
NeurIPS ML Safety Workshop, 2022
14*2022
A novel utilization of cluster-tree wireless sensor networks for situation awareness in smart grids
MS Ebrahimi, MH Daraei, V Behzadan, A Khajooeizadeh, SA Behrostaghi, ...
2011 IEEE PES Innovative Smart Grid Technologies, 1-5, 2011
122011
Representation reliability and its impact on downstream tasks
YJ Park, H Wang, S Ardeshir, N Azizan
CoRR, 2023
10*2023
Egotransfer: Transferring motion across egocentric and exocentric domains using deep neural networks
S Ardeshir, K Regmi, A Borji
arXiv preprint arXiv:1612.05836, 2016
92016
On negative sampling for audio-visual contrastive learning from movies
MM Kalayeh, S Ardeshir, L Liu, N Kamath, A Chandrashekar
arXiv preprint arXiv:2205.00073, 2022
52022
Estimating structural disparities for face models
S Ardeshir, C Segalin, N Kallus
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
52022
Improving identity-robustness for face models
Q Qi, S Ardeshir
arXiv preprint arXiv:2304.03838, 2023
32023
Towards Automated Machine Learning Research
S Ardeshir
arXiv preprint arXiv:2409.05258, 2024
22024
Fairness via Adversarial Attribute Neighbourhood Robust Learning
Q Qi, S Ardeshir, Y Xu, T Yang
arXiv preprint arXiv:2210.06630, 2022
22022
GIS-assisted object detection and geospatial localization
A Shervin, AR Zamir, A Tor-roella, M Shah
European Conference on Computer Vision, 2014
22014
Character-focused Video Thumbnail Retrieval
S Ardeshir, N Kamath, H Taghavi
arXiv preprint arXiv:2204.06563, 2022
12022
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Articles 1–20