Sarah Adel Bargal
Sarah Adel Bargal
Research Assistant Professor, Computer Science, Boston University
Adresse e-mail validée de bu.edu - Page d'accueil
Titre
Citée par
Citée par
Année
Top-Down Neural Attention by Excitation Backprop
J Zhang, SA Bargal, Z Lin, J Brandt, X Shen, S Sclaroff
International Journal of Computer Vision, 2017
4522017
Moments in time dataset: one million videos for event understanding
M Monfort, A Andonian, B Zhou, K Ramakrishnan, SA Bargal, T Yan, ...
IEEE transactions on pattern analysis and machine intelligence 42 (2), 502-508, 2019
2052019
Emotion Recognition in the Wild from Videos using Images
SA Bargal, E Barsoum, C Canton Ferrer, C Zhang
International Conference on Multimodal Interaction (ICMI), 2016
1052016
MIHash: Online Hashing with Mutual Information
F Cakir, K He, SA Bargal, S Sclaroff
International Conference on Computer Vision, 2017
632017
Do Less and Achieve More: Training CNNs for Action Recognition Utilizing Action Images from the Web
S Ma, SA Bargal, J Zhang, L Sigal, S Sclaroff
Journal of Pattern Recognition, 2017
612017
Hashing as tie-aware learning to rank
K He, F Cakir, SA Bargal, S Sclaroff
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
412018
Online Supervised Hashing
F Cakir, SA Bargal, S Sclaroff
Computer Vision and Image Understanding, 2016
362016
Hashing with mutual information
F Cakir, K He, SA Bargal, S Sclaroff
IEEE transactions on pattern analysis and machine intelligence 41 (10), 2424 …, 2019
332019
Excitation backprop for RNNs
SA Bargal, A Zunino, D Kim, J Zhang, V Murino, S Sclaroff
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
272018
Image-based Ear Biometric Smartphone App for Patient Identification in Field Settings
SA Bargal, A Welles, CR Chan, S Howes, S Sclaroff, E Ragan, C Johnson, ...
International Conference on Computer Vision Theory and Applications (VISAPP), 2015
212015
NBDT: neural-backed decision trees
A Wan, L Dunlap, D Ho, J Yin, S Lee, H Jin, S Petryk, SA Bargal, ...
International Conference on Learning Representations, 2020
112020
Disrupting Deepfakes: Adversarial Attacks Against Conditional Image Translation Networks and Facial Manipulation Systems
N Ruiz, SA Bargal, S Sclaroff
ECCVW, 2020
102020
Excitation Dropout: Encouraging plasticity in deep neural networks
A Zunino, SA Bargal, P Morerio, J Zhang, S Sclaroff, V Murino
International Journal of Computer Vision, 1-14, 2018
92018
Guided Zoom: Questioning network evidence for fine-grained classification
SA Bargal, A Zunino, V Petsiuk, J Zhang, K Saenko, V Murino, S Sclaroff
The British Machine Vision Conference, 2019
72019
Explainable deep classification models for domain generalization
A Zunino, SA Bargal, R Volpi, M Sameki, J Zhang, S Sclaroff, V Murino, ...
arXiv preprint arXiv:2003.06498, 2020
42020
DMCL: Distillation Multiple Choice Learning for Multimodal Action Recognition
NC Garcia, SA Bargal, V Ablavsky, P Morerio, V Murino, S Sclaroff
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2019
32019
Multi-way encoding for robustness
D Kim, SA Bargal, J Zhang, S Sclaroff
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020
2*2020
Classification of Mouth Action Units using Local Binary Patterns
SA Bargal, R el Kaliouby, A Goneid, A Nayfeh
International Conference on Image Processing, Computer Vision, and Pattern …, 2012
22012
Protecting Against Image Translation Deepfakes by Leaking Universal Perturbations from Black-Box Neural Networks
N Ruiz, SA Bargal, S Sclaroff
arXiv preprint arXiv:2006.06493, 2020
12020
Are CNN predictions based on reasonable evidence?
SA Bargal, A Zunino, V Petsiuk, J Zhang, K Saenko, V Murino, S Sclaroff
CVPR Workshops 1, 2019
12019
Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.
Articles 1–20