Підписатись
Shervin Ardeshir
Shervin Ardeshir
Senior Research Scientist, Netflix
Підтверджена електронна адреса в netflix.com - Домашня сторінка
Назва
Посилання
Посилання
Рік
GIS-assisted object detection and geospatial localization
S Ardeshir, AR Zamir, A Torroella, M Shah
Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014
802014
Ego2Top: Matching Viewers in Egocentric and Top-view Videos
S Ardeshir, A Borji
European Conference on Computer Vision (ECCV), 2016
652016
Geo-semantic segmentation
S Ardeshir, K Malcolm Collins-Sibley, M Shah
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
492015
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
452014
Egocentric Meets Top-view
S Ardeshir, A Borji
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018
37*2018
On Attention Modules for Audio-Visual Synchronization.
N Khosravan, S Ardeshir, R Puri
CVPR Workshops, 25-28, 2019
282019
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
232018
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
222018
An exocentric look at egocentric actions and vice versa
S Ardeshir, A Borji
Computer Vision and Image Understanding 171, 61-68, 2018
212018
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
Embedding Reliability: On the Predictability of Downstream Performance
S Ardeshir, N Azizan
NeurIPS ML Safety Workshop, 0
12*
Egotransfer: Transferring motion across egocentric and exocentric domains using deep neural networks
S Ardeshir, K Regmi, A Borji
arXiv preprint arXiv:1612.05836, 2016
72016
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
42023
Identifying representative frames in video content
SA Behrostaghi, NK Kamath
US Patent 11,948,360, 2024
32024
Representation reliability and its impact on downstream tasks
YJ Park, H Wang, S Ardeshir, N Azizan
CoRR, 2023
3*2023
Techniques for identifying synchronization errors in media titles
R Puri, N Khosravan, SA Behrostaghi
US Patent App. 16/687,209, 2020
32020
Character-focused Video Thumbnail Retrieval
S Ardeshir, N Kamath, H Taghavi
arXiv preprint arXiv:2204.06563, 2022
12022
From egocentric to top-view
S Ardeshir, A Borji
1
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