Sarah Adel Bargal
CV
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Research Assistant Professor  Image and Video Computing Group Department of Computer Science Boston University Research Interests Computer Vision and Machine Learning Office Location MCS 207, Department of Computer Science 111 Cummington Mall, Boston, MA, 02215 Quote "Positivity makes you awesome, makes your team awesome; it is contagious :)" -- Sarah Adel Bargal |
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Current Research Explainable AI Neural-Backed Decision Trees   |
Current Teaching Machine Learning CS 542  |
Contact Info sbargal@bu.edu  |
News
Apr, 2022: Our paper got accepted to @HCII 2022! Apr, 2022: Excited to be a panelist for “The Future of Intelligence” moderated by Kara Miller of the Boston Globe! Mar, 2022: Two papers accepted @CVPR 2022! Mar, 2022: Our paper got accepted @ICIAP 2022! Feb, 2022: Our book chapter is accepted for the Springer Book xxAI - Beyond Explainable Artificial Intelligence ! Jan, 2022: Super excited to be co-directing AI4ALL once again this year at Boston University! Jun, 2021: Keynote Speaker at CVPR 2021 workshop on: Fair, Data-Efficient and Trusted Computer Vision! Mar, 2021: Invited to be a guest editor of a special issue for the Frontiers of Computer Vision Journal! Jan, 2021: Our TPAMI, IJCV, and ICLR papers on explainability acccepted! Sep, 2020: Invited to serve as NSF Panelist! May, 2020: Invited to serve as a Technical Program Committee Member for the ICC AffectiCom Workshop! Mar, 2020: Super-excited to co-direct AI4ALL again this summer @BU! Hiring Coordinators Jan, 2020: Area Chair, WACV 2020. Nov, 2019: Invited Speaker @US National Academy of Sciences Arab-American Frontiers Symposium. Sep, 2019: Excited to start a new chapter at BU as a Research Assistant Professor! Aug, 2019: Invited speaker @Workshop on the Foundations of Computational Science, Harvard University. Jun, 2019: Super-excited to co-direct Boston University's AI4ALL program! May, 2019: Boston University's PhD Hooding Ceremony Speaker! May, 2019: Invited speaker @CSAIL, MIT. May, 2019: Invited speaker @Google, Cambridge, MA. Jan, 2019: Invited speaker @Geometric Analysis Approach to AI Workshop, Harvard University. Jan, 2019: Invited speaker @College of Information and Computer Science, UMass Amherst. Dec, 2018: Started a Postdoctoral Associate Position at IVC! Nov, 2018: Successfully defended my PhD dissertation! Oct, 2018: Enjoyed giving talks @TUFTS (CS Dept), @MIT Media Lab (MIC), and @Harvard (NECV)! Aug, 2018: Super-excited to give the AI4ALL closing keynote @BU! Jun, 2018: Featured in CVPR Daily! Jun, 2018: Invited to present our work in the CVPR 2018 workshop Brave New Ideas for Video Understanding! May, 2018: Published our latest work Excitation Dropout on arXiv! Feb, 2018: Our CVPR submissions got accepted! Feb, 2018: Successfully completed my Thesis Proposal Defense! Dec, 2017: Moments in Time dataset released! Nov, 2017: Our IJCV paper got accepted! Aug, 2017: Invited to attend Rising Stars 2017 at Stanford University! Aug, 2017: Our paper got accepted in ICCV'17! Jun, 2017: Received a Hariri Graduate Fellowship! Jun, 2017: Received a Grace Hopper Conference Student Scholarship! Apr, 2017: Received the 2017 Outstanding Teaching Fellow Award! Apr, 2017: Passed my PhD Oral Exam! Mar, 2017: Received an IBM Ph.D. Fellowship! Mar, 2017: Received the SIGMM student travel award to attend the 50 years celebration of the ACM Turing Award! Jan, 2017: Joining IBM's Vision and Learning Group for a summer internship with Rogerio Feris! Jan, 2017: Our paper on action recognition got accepted in the Journal of Pattern Recognition. Jan, 2017: Excited to be a GWISE Representative for 2017 (Graduate Women in Science and Engineering), Boston University. Jan, 2017: Giving a talk at the Computer Science and Engineering Department of the American University in Cairo! Oct, 2016: Attending Grace Hopper 2016 Conference in October! Jul, 2016: Emotion Recognition Challenge top-three finalists! Ranking TBA at ICMI. Apr, 2016: We just released the BU-action Image Datasets. Apr, 2016: We received the 2016 Office of Technology Development Award, Boston University. Mar, 2016: Joining Microsoft Research for an internship this summer! Feb, 2016: Passed the Image and Video Computing PhD Area Exam! Feb, 2016: Attended Google's PhD Summit in Cambridge. Jan, 2016: Invited to the CRA-W Grad Cohort Workshop in San Diego, April 2016. Dec, 2015: Gave a talk at Affectiva. Sep, 2015: Student representative on the Graduate Academic Affairs Committee, Boston University. Aug, 2015: Image and Video Computing Seminar Coordinator. Let us know if you would like to visit us and give a talk! Mar, 2015: Gave an oral presentation at VISAPP 2015, Berlin. Jul, 2014: We received the 2014 Social Entrepreneurship Award at TDRR, Boston University. Apr, 2014: We received the 2014 Hariri Award for Transformative Computational Science Research, Boston University. Research
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Simulated Adversarial Testing[Paper, CVPR] pdfN. Ruiz, A. Kortylewski, W. Qiu, C. Xie, S. A. Bargal, A. Yuille, S. Sclaroff. "Simulated Adversarial Testing." CVPR, 2022. |
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Zero-Waste: Towards Automated Waste Recycling[Paper, CVPR] pdf project pageD. Bashkirova, M. Abdelfattah, Z. Zhu, J. Akl, F. Alladkani, P. Hu, V. Ablavsky, B. Calli, S.A. Bargal, K. Saenko. "Zero-Waste: Towards Automated Waste Recycling." CVPR, 2022. |
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NBDT: Neural-Backed Decision Trees[Paper, ICLR] pdf project page code demoA. Wan, L. Dunlap*, D. Ho*, J. Yin, S. Lee, H. Jin, S. Petryk, S. A. Bargal, J. E. Gonzalez. "NBDT: Neural-Backed Decision Trees." ICLR, 2021. |
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Excitation Dropout: Encouraging Plasticity in Deep Neural Networks[Paper, IJCV] pdfA. Zunino*, S. A. Bargal*, P. Morerio, J. Zhang, S. Sclaroff, V. Murino. "Excitation Dropout: Encouraging Plasticity in Deep Neural Networks." IJCV, 2021. |
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Guided Zoom: Questioning Network Evidence for Fine-grained Classification[Paper, TPAMI] pdfS. A. Bargal*, A. Zunino*, V. Petsiuk, J. Zhang, K. Saenko, V. Murino, S. Sclaroff. "Guided Zoom: Questioning Network Evidence for Fine-grained Classification." TPAMI, 2021. |
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Explainable Deep Classification Models for Domain Generalization[Paper, CVPRW] pdfA. Zunino*, S. A. Bargal*, R. Volpi, M. Sameki, J. Zhang, S. Sclaroff, V. Murino, K. Saenko. "Explainable Deep Classification Models for Domain Generalization." CVPRW, 2021. |
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Disrupting DeepFakes: Adversarial Attacks Against Conditional Image Translation Networks and Facial Manipulation Systems[Paper, CVPRW] pdf code video demoN. Ruiz, S. A. Bargal, S. Sclaroff. "Disrupting DeepFakes: Adversarial Attacks Against Conditional Image Translation Networks and Facial Manipulation Systems." CVPRW, 2020. |
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DMCL: Distillation Multiple Choice Learning for Multimodal Action Recognition[Paper, WACV] pdfN. C. Garcia, S. A. Bargal, V. Ablavsky, P. Morerio, V. Murino, S. Sclaroff. "DMCL: Distillation Multiple Choice Learning for Multimodal Action Recognition." WACV, 2020. |
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Moments in Time Dataset[Paper, TPAMI] pdf Web page Video SummaryM. Monfort, A. Andonian, B. Zhou, K. Ramakrishnan, S. A. Bargal, T. Yan, L. Brown, Q. Fan, D. Gutfruend, C. Vondrick, A. Oliva. "Moments in Time Dataset: one million videos for event understanding." TPAMI, 2019. |
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Multi-way Encoding for Robustness to Adversarial Attacks[Paper, WACV] pdfD. Kim, S. A. Bargal, J. Zhang, S. Sclaroff. "Multi-way Encoding for Robustness to Adversarial Attacks." WACV, 2019. |
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Top-Down Spatiotemporal Saliency for Visual Grounding[Paper, CVPR] pdf Demo GitHubS. A. Bargal*, A. Zunino*, D. Kim, J. Zhang, V. Murino, S. Sclaroff. "Excitation Backprop for RNNs." Conference on Computer Vision and Pattern Recognition (CVPR), 2018. |
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Top-Down Spatial Saliency for Visual Grounding[Paper, IJCV] pdfJ. Zhang, S. A. Bargal, Z. Lin, J. Brandt, X. Shen, S. Sclaroff. "Top-Down Neural Attention by Excitation Backprop." International Journal of Computer Vision (IJCV), 2017. |
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Action Recognition & Deep Learning[Paper, Journal PR] pdf DatasetsS. Ma, S. A. Bargal, J. Zhang, L. Sigal, S. Sclaroff. "Do Less and Achieve More: Training CNNs for Action Recognition Utilizing Action Images from the Web." Journal of Pattern Recognition (PR), 2017. [Poster, Boston University's Graduate Research Symposium] pdf S. Ma, S. A. Bargal, J. Zhang, L. Sigal, S. Sclaroff. "Do Less and Achieve More: Training CNNs for Action Recognition Utilizing Action Images from the Web." Boston University's Graduate Research Symposium, April 2016.  Office of Technology Development Award.
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Supervised Hashing[Paper, TPAMI] pdfF. Cakir*, K. He*, S. A. Bargal, S. Sclaroff. "Hashing with Mutual Information." TPAMI, 2019. [Paper, CVPR] pdf K. He, F. Cakir, S. A. Bargal, S. Sclaroff. "Hashing as Tie-Aware Learning to Rank." Conference on Computer Vision and Pattern Recognition (CVPR), 2018. [Paper, ICCV] pdf GitHub F. Cakir*, K. He*, S. A. Bargal, S. Sclaroff. "MIHash: Online Hashing with Mutual Information." International Conference on Computer Vision (ICCV), 2017. |
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Online Supervised Hashing[Paper, Journal CVIU] pdfF. Cakir, S. A. Bargal, S. Sclaroff. "Online Supervised Hashing." Computer Vision and Image Understanding Journal (CVIU), 2016. [Paper, arXiv] pdf F. Cakir, S. A. Bargal, S. Sclaroff. "Online Supervised Hashing for Ever-Growing Datasets." arXiv, 2015. |
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Facial Emotion Recognition from Videos[Paper, ICMI] pdf posterS. A. Bargal, E. Barsoum, C. Canton Ferrer, C. Zhang. "Emotion Recognition in the Wild from Videos using Images." International Conference on Multimodal Interaction (ICMI), 2016. Top-three finalists for the EmotiW 2016 Competition. Ranking TBA at ICMI.
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Biometrics[Paper, VISAPP] pdfS. A. Bargal, A. Welles, C. R. Chan, S. Howes, S. Sclaroff, E. Ragan, C. Johnson, C. Gill. "Image-based Ear Biometric Smartphone App for Patient Identification in Field Settings." International Conference on Computer Vision Theory and Applications (VISAPP) , 2015. [Poster, Boston University's Fifth Annual Networking Conference] pdf S. A. Bargal, A. Welles, C. R. Chan, S. Howes, E. Ragan, C. Johnson, C. Gill. "Project SEARCH: Scanning Ears for Child Health." Fifth annual networking conference by the Office of Technology Development at Boston University: Tech, Drugs, and Rock n' Roll (TDRR), July 2014. Social Entrepreneurship Award.
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Trajectory Analysis[Poster, Boston University's Provost Scholars Day] pdfS. A. Bargal, M. Goodwin, S. Sclaroff. "A study of Spatial Exploration Patterns of Children." Boston University's Provost Scholars Day, March 2014. Hariri Award for Transformative Computational Science Research.
[Poster, Computational Behavioral Science Annual Meeting] pdf S. A. Bargal, M. Goodwin, S. Sclaroff. "Quantitative Description of Child Trajectories." NSF Expeditions in Computing: Computational Behavioral Science Annual Meeting at Georgia Institute of Technology, Nov 2014. |
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Facial Expression Recognition from Images[Paper, IPCV] pdfS. A. Bargal, R. el Kaliouby, A. Goneid, A. Nayfah. "Classification of Mouth Action Units using Local Binary Patterns." International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV) , 2: 956-961, 2012. [Master's Thesis, The American University in Cairo] S. A. Bargal, R. el Kaliouby, A. Goneid. "Classification of Mouth Action Units using Local Binary Patterns." Lambert Academic Publishing (LAP), ISBN 978-3-659- 10663-7, 2012. |
Teaching
Boston University, Department of Computer Science
Outstanding Teaching Fellow Award