Sarah Adel Bargal

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Stan SclaroffDean of Arts & Sciences, Professor of Computer Science, Boston UniversityDirección de correo verificada de bu.edu
Jianming ZhangPrincipal Research Scientist, Adobe ResearchDirección de correo verificada de adobe.com
Kate SaenkoBoston UniversityDirección de correo verificada de bu.edu
Vittorio MurinoProfessor @ University of Verona. PI of AIGO - AI for Good @ Italian Institute of Technology.Dirección de correo verificada de iit.it
Fatih CakirBoston UniversityDirección de correo verificada de bu.edu
Nataniel RuizSenior Research Scientist, GoogleDirección de correo verificada de google.com
Vitaly AblavskyApplied Physics Laboratory, University of Washington, SeattleDirección de correo verificada de ieee.org
Andrea ZuninoComputer Vision Researcher, Leonardo LabsDirección de correo verificada de iit.it
Quanfu FanIBMDirección de correo verificada de us.ibm.com
Carl VondrickAssociate Professor, Columbia UniversityDirección de correo verificada de columbia.edu
Mathew MonfortAmazon AWSDirección de correo verificada de amazon.com
Bolei ZhouAssistant Professor at UCLADirección de correo verificada de ucla.edu
Kandan RamakrishnanBaylor College of medicineDirección de correo verificada de bcm.edu
Aude OlivaSenior Research Scientist, CSAIL, MIT Director MIT-IBM Lab, MIT College Director IndustryDirección de correo verificada de mit.edu
Alex AndonianPhD in EECS, MITDirección de correo verificada de mit.edu
Kun HeResearch Scientist, Reality Labs @ MetaDirección de correo verificada de meta.com
IVON ARROYOAssociate Professor in Computer Science and EducationDirección de correo verificada de cs.umass.edu
Margrit BetkeComputer Science, Boston UniversityDirección de correo verificada de bu.edu
Danielle AllessioPostdoctoral research associate, University of Massachusetts AmherstDirección de correo verificada de umass.edu
Zhe L. LinSenior Principal Scientist, Adobe ResearchDirección de correo verificada de adobe.com

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Sarah Adel Bargal

Assistant Professor, Computer Science, Georgetown University

Dirección de correo verificada de georgetown.edu - Página principal

Computer Vision Machine Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	1066	2017
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	663	2019
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	215	2016
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	199	2020
Disrupting Deepfakes: Adversarial Attacks Against Conditional Image Translation Networks and Facial Manipulation Systems N Ruiz, SA Bargal, S Sclaroff ECCVW, 2020	130	2020
MIHash: Online Hashing with Mutual Information F Cakir, K He, SA Bargal, S Sclaroff International Conference on Computer Vision, 2017	114	2017
Hashing with mutual information F Cakir, K He, SA Bargal, S Sclaroff IEEE transactions on pattern analysis and machine intelligence 41 (10), 2424 …, 2019	113	2019
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	111	2018
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	94	2017
Online Supervised Hashing F Cakir, SA Bargal, S Sclaroff Computer Vision and Image Understanding, 2016	76	2016
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	61*	2019
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	61	2018
Explainable deep classification models for domain generalization A Zunino, SA Bargal, R Volpi, M Sameki, J Zhang, S Sclaroff, V Murino, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021	48	2021
Zerowaste dataset: Towards deformable object segmentation in cluttered scenes D Bashkirova, M Abdelfattah, Z Zhu, J Akl, F Alladkani, P Hu, V Ablavsky, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022	46	2022
Student engagement dataset K Delgado, JM Origgi, T Hasanpoor, H Yu, D Allessio, I Arroyo, W Lee, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021	38	2021
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	34	2018
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	29	2015
Guided zoom: Zooming into network evidence to refine fine-grained model decisions SA Bargal, A Zunino, V Petsiuk, J Zhang, K Saenko, V Murino, S Sclaroff IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (11), 4196 …, 2021	20	2021
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	20	2019
Simulated adversarial testing of face recognition models N Ruiz, A Kortylewski, W Qiu, C Xie, SA Bargal, A Yuille, S Sclaroff Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022	12	2022

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