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Fadime Sener
Fadime Sener
Reality Labs Research @ Meta
Verified email at cs.uni-bonn.de
Title
Cited by
Cited by
Year
Unsupervised learning and segmentation of complex activities from video
F Sener, A Yao
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
842018
Temporal aggregate representations for long-range video understanding
F Sener, D Singhania, A Yao
European Conference on Computer Vision, 154-171, 2020
542020
Unsupervised learning of action classes with continuous temporal embedding
A Kukleva, H Kuehne, F Sener, J Gall
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
542019
On recognizing actions in still images via multiple features
F Sener, C Bas, N Ikizler-Cinbis
European Conference on Computer Vision, 263-272, 2012
402012
Two-person interaction recognition via spatial multiple instance embedding
F Sener, N Ikizler-Cinbis
Journal of Visual Communication and Image Representation 32, 63-73, 2015
392015
Zero-shot anticipation for instructional activities
F Sener, A Yao
Proceedings of the IEEE/CVF International Conference on Computer Vision, 862-871, 2019
342019
DRAW: Deep networks for Recognizing styles of Artists Who illustrate children's books
S Hicsonmez, N Samet, F Sener, P Duygulu
Proceedings of the 2017 ACM on international conference on multimedia …, 2017
222017
Learning style compatibility for furniture
D Aggarwal, E Valiyev, F Sener, A Yao
German Conference on Pattern Recognition, 552-566, 2018
82018
Identification of illustrators
F Sener, N Samet, PD Sahin
European Conference on Computer Vision, 589-597, 2012
62012
Technical report: Temporal aggregate representations
F Sener, D Chatterjee, A Yao
arXiv preprint arXiv:2106.03152, 2021
42021
Creating image tags for text based image retrieval using additional corpora
N Samet, S Hiçsönmez, F Şener
2016 24th Signal Processing and Communication Application Conference (SIU …, 2016
42016
Ensemble of multiple instance classifiers for image re-ranking
F Sener, N Ikizler-Cinbis
Image and Vision Computing 32 (5), 348-362, 2014
32014
Assembly101: A Large-Scale Multi-View Video Dataset for Understanding Procedural Activities
F Sener, D Chatterjee, D Shelepov, K He, D Singhania, R Wang, A Yao
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
12022
Transformed ROIs for capturing visual transformations in videos
A Rai, F Sener, A Yao
Computer Vision and Image Understanding, 103558, 2022
2022
Modelling Complex Activities from Visual and Textual Data
F Sener Merzbach
Universitäts-und Landesbibliothek Bonn, 2021
2021
Learning Video Models from Text: Zero-Shot Anticipation for Procedural Actions
F Sener, R Saraf, A Yao
arXiv preprint arXiv:2106.03158, 2021
2021
Recognizing human actions from noisy videos via multiple instance learning
F Sener, N Samet, P Duygulu, N Ikizler-Cinbis
2013 21st Signal Processing and Communications Applications Conference (SIU …, 2013
2013
Utilizing multiple instance learning for computer vision tasks
F Şener
PQDT-Global, 2013
2013
Multiple instance learning for re-ranking of web image search results
F Şener, Nİ Cinbiş, PD Şahin
2012 20th Signal Processing and Communications Applications Conference (SIU …, 2012
2012
Robert Wang Angela Yao Meta Reality Labs Research National University of Singapore
F Sener, D Chatterjee, D Shelepov, K He, D Singhania
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