Sarah Adel Bargal
Sarah Adel Bargal
Research Assistant Professor, Computer Science, Boston University
Verified email at bu.edu - Homepage
TitleCited byYear
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
2362017
Moments in time dataset: one million videos for event understanding
M Monfort, A Andonian, B Zhou, K Ramakrishnan, SA Bargal, Y Yan, ...
IEEE transactions on pattern analysis and machine intelligence, 2019
712019
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
562016
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
402017
MIHash: Online Hashing with Mutual Information
F Cakir, K He, SA Bargal, S Sclaroff
372017
Hashing as tie-aware learning to rank
K He, F Cakir, S Adel Bargal, S Sclaroff
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
212018
Online Supervised Hashing
F Cakir, SA Bargal, S Sclaroff
Computer Vision and Image Understanding, 2016
172016
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
162015
Excitation backprop for RNNs
S Adel Bargal, A Zunino, D Kim, J Zhang, V Murino, S Sclaroff
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
132018
Hashing with mutual information
F Cakir, K He, SA Bargal, S Sclaroff
IEEE transactions on pattern analysis and machine intelligence, 2019
102019
Excitation Dropout: Encouraging Plasticity in Deep Neural Networks
A Zunino, SA Bargal, P Morerio, J Zhang, S Sclaroff, V Murino
arXiv preprint arXiv:1805.09092, 2018
32018
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
Guided Zoom: Questioning Network Evidence for Fine-grained Classification
SA Bargal, A Zunino, V Petsiuk, J Zhang, K Saenko, V Murino, S Sclaroff
arXiv preprint arXiv:1812.02626, 2018
12018
Multi-way Encoding for Robustness to Adversarial Attacks
D Kim, SA Bargal, J Zhang, S Sclaroff
12018
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
12012
Are CNN Predictions based on Reasonable Evidence?
S Adel Bargal, A Zunino, V Petsiuk, J Zhang, K Saenko, V Murino, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
2019
Grounding Deep Models of Visual Data
SA Bargal
Boston University, 2019
2019
A Large Scale Video Dataset for Event Recognition
M Monfort, B Zhou, S Bargal, A Andonian, K Ramakrishnan, C Vondrick, ...
Journal of Vision 18 (10), 753-753, 2018
2018
Online Supervised Hashing for Ever-Growing Datasets
F Cakir, SA Bargal, S Sclaroff
arXiv preprint arXiv:1511.03257, 2015
2015
A Study of Spatial Exploration Patterns of Children
SA Bargal, M Goodwin, S Sclaroff
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