Sarah Adel Bargal
Sarah Adel Bargal
Research Assistant Professor, Computer Science, Boston University
Verified email at bu.edu - Homepage
Title
Cited by
Cited by
Year
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
3192017
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
1282019
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
762016
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
522017
MIHash: Online Hashing with Mutual Information
F Cakir, K He, SA Bargal, S Sclaroff
472017
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
332018
Online Supervised Hashing
F Cakir, SA Bargal, S Sclaroff
Computer Vision and Image Understanding, 2016
272016
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
202018
Hashing with mutual information
F Cakir, K He, SA Bargal, S Sclaroff
IEEE transactions on pattern analysis and machine intelligence 41 (10), 2424 …, 2019
182019
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
172015
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
72018
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
42018
NBDT: Neural-Backed Decision Trees
A Wan, L Dunlap, D Ho, J Yin, S Lee, H Jin, S Petryk, SA Bargal, ...
arXiv preprint arXiv:2004.00221, 2020
12020
Multi-way encoding for robustness
D Kim, S Bargal, J Zhang, S Sclaroff
The IEEE Winter Conference on Applications of Computer Vision, 1352-1360, 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
Multi-way Encoding for Robustness to Adversarial Attacks
D Kim, SA Bargal, J Zhang, S Sclaroff
12018
Online Supervised Hashing for Ever-Growing Datasets
F Cakir, SA Bargal, S Sclaroff
arXiv preprint arXiv:1511.03257, 2015
12015
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
SegNBDT: Visual Decision Rules for Segmentation
A Wan, D Ho, Y Song, H Tillman, SA Bargal, JE Gonzalez
arXiv preprint arXiv:2006.06868, 2020
2020
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
2020
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