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ORCIDSarah Adel Bargal
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2020 – today
- 2024
[c26]Hao Yu, Danielle A. Allessio, William Rebelsky, Tom Murray, John J. Magee, Ivon Arroyo, Beverly P. Woolf, Sarah Adel Bargal, Margrit Betke
:
Affect Behavior Prediction: Using Transformers and Timing Information to Make Early Predictions of Student Exercise Outcome. AIED (2) 2024: 194-208- [c25]Chenwei Cui, Amro Abdalla, Derry Wijaya, Scott Solberg, Sarah Adel Bargal:
Large Language Models for Career Readiness Prediction. AIED Companion (1) 2024: 304-311 - [i25]Rupayan Mallick, Amr Abdalla, Sarah Adel Bargal:
FaithFill: Faithful Inpainting for Object Completion Using a Single Reference Image. CoRR abs/2406.07865 (2024) - 2023
- [j9]Nataniel Ruiz, Hao Yu, Danielle Allessio, Mona Jalal, Ajjen Joshi, Tom Murray, John J. Magee, Kevin Delgado, Vitaly Ablavsky, Stan Sclaroff, Ivon Arroyo, Beverly P. Woolf, Sarah Adel Bargal, Margrit Betke:
ATL-BP: A Student Engagement Dataset and Model for Affect Transfer Learning for Behavior Prediction. IEEE Trans. Biom. Behav. Identity Sci. 5(3): 411-424 (2023) - [c24]Nataniel Ruiz, Sarah Adel Bargal, Cihang Xie, Stan Sclaroff:
Practical Disruption of Image Translation Deepfake Networks. AAAI 2023: 14478-14486 - [c23]Beverly P. Woolf, Margrit Betke, Hao Yu, Sarah Adel Bargal, Ivon Arroyo, John J. Magee, Danielle Allessio, William Rebelsky:
Face Readers: The Frontier of Computer Vision and Math Learning. Human-AI Math Tutoring@AIED 2023: 24-36 - [c22]Ibrahim M. Amer, Sarah Adel Bargal, Sharief M. A. Oteafy, Hossam S. Hassanein:
Demo: Leveraging Edge Intelligence for Affective Communication over URLLC. LCN 2023: 1-4 - [c21]Hao Yu, Danielle A. Allessio, Will Lee, William Rebelsky, Frank Sylvia, Tom Murray, John J. Magee, Ivon Arroyo, Beverly P. Woolf, Sarah Adel Bargal, Margrit Betke:
COVES: A Cognitive-Affective Deep Model that Personalizes Math Problem Difficulty in Real Time and Improves Student Engagement with an Online Tutor. ACM Multimedia 2023: 6152-6160 - [i24]Dina Bashkirova, Samarth Mishra, Diala Lteif, Piotr Teterwak, Donghyun Kim, Fadi M. Alladkani, James Akl, Berk Çalli, Sarah Adel Bargal, Kate Saenko, Daehan Kim, Minseok Seo, Youngjin Jeon, Dong-Geol Choi, Shahaf Ettedgui, Raja Giryes, Shady Abu-Hussein, Binhui Xie, Shuang Li:
VisDA 2022 Challenge: Domain Adaptation for Industrial Waste Sorting. CoRR abs/2303.14828 (2023) - [i23]Ariel N. Lee, Sarah Adel Bargal, Janavi Kasera, Stan Sclaroff, Kate Saenko, Nataniel Ruiz:
Hardwiring ViT Patch Selectivity into CNNs using Patch Mixing. CoRR abs/2306.17848 (2023) - [i22]Dina Bashkirova, Arijit Ray, Rupayan Mallick, Sarah Adel Bargal, Jianming Zhang, Ranjay Krishna, Kate Saenko:
Lasagna: Layered Score Distillation for Disentangled Object Relighting. CoRR abs/2312.00833 (2023) - 2022
- [j8]Shoumik Sovan Majumdar, Shubhangi Jain, Isidora Chara Tourni, Arsenii Mustafin, Diala Lteif, Stan Sclaroff, Kate Saenko, Sarah Adel Bargal:
Ani-GIFs: A benchmark dataset for domain generalization of action recognition from GIFs. Frontiers Comput. Sci. 4 (2022) - [c20]Nataniel Ruiz, Adam Kortylewski, Weichao Qiu, Cihang Xie, Sarah Adel Bargal, Alan L. Yuille, Stan Sclaroff:
Simulated Adversarial Testing of Face Recognition Models. CVPR 2022: 4135-4145 - [c19]Dina Bashkirova, Mohamed Abdelfattah, Ziliang Zhu, James Akl, Fadi M. Alladkani, Ping Hu, Vitaly Ablavsky, Berk Çalli, Sarah Adel Bargal, Kate Saenko:
ZeroWaste Dataset: Towards Deformable Object Segmentation in Cluttered Scenes. CVPR 2022: 21115-21125 - [c18]Will Lee, Danielle Allessio, William Rebelsky, Sai Satish Gattupalli, Hao Yu, Ivon Arroyo, Margrit Betke, Sarah Adel Bargal, Tom Murray, Frank Sylvia, Beverly P. Woolf:
Measurements and Interventions to Improve Student Engagement Through Facial Expression Recognition. HCI (31) 2022: 286-301 - [c17]Marc Oliu, Sarah Adel Bargal, Stan Sclaroff, Xavier Baró, Sergio Escalera:
Multi-varied Cumulative Alignment for Domain Adaptation. ICIAP (2) 2022: 324-334 - [c16]Nataniel Ruiz, Sarah A. Bargal, Cihang Xie, Kate Saenko, Stan Sclaroff:
Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing. NeurIPS 2022 - [i21]Quanfu Fan, Donghyun Kim, Chun-Fu Chen, Stan Sclaroff, Kate Saenko, Sarah Adel Bargal:
Temporal Relevance Analysis for Video Action Models. CoRR abs/2204.11929 (2022) - [i20]Nataniel Ruiz, Sarah Adel Bargal, Cihang Xie, Kate Saenko, Stan Sclaroff:
Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing. CoRR abs/2211.16499 (2022) - 2021
- [j7]Andrea Zunino, Sarah Adel Bargal, Pietro Morerio, Jianming Zhang, Stan Sclaroff, Vittorio Murino:
Excitation Dropout: Encouraging Plasticity in Deep Neural Networks. Int. J. Comput. Vis. 129(4): 1139-1152 (2021) - [j6]Sarah Adel Bargal, Andrea Zunino, Vitali Petsiuk, Jianming Zhang, Kate Saenko, Vittorio Murino, Stan Sclaroff:
Guided Zoom: Zooming into Network Evidence to Refine Fine-Grained Model Decisions. IEEE Trans. Pattern Anal. Mach. Intell. 43(11): 4196-4202 (2021) - [c15]Andrea Zunino, Sarah Adel Bargal, Riccardo Volpi, Mehrnoosh Sameki, Jianming Zhang, Stan Sclaroff, Vittorio Murino, Kate Saenko:
Explainable Deep Classification Models for Domain Generalization. CVPR Workshops 2021: 3233-3242 - [c14]Kevin Delgado, Juan Manuel Origgi, Tania Hasanpoor, Hao Yu, Danielle Allessio, Ivon Arroyo, William Lee, Margrit Betke, Beverly P. Woolf, Sarah Adel Bargal:
Student Engagement Dataset. ICCVW 2021: 3621-3629 - [c13]Alvin Wan, Lisa Dunlap, Daniel Ho, Jihan Yin, Scott Lee, Suzanne Petryk, Sarah Adel Bargal, Joseph E. Gonzalez:
NBDT: Neural-Backed Decision Tree. ICLR 2021 - [c12]Dina Bashkirova, Samarth Mishra, Diala Lteif, Piotr Teterwak, Donghyun Kim, Fadi M. Alladkani, James Akl, Berk Çalli, Sarah Adel Bargal, Kate Saenko, Daehan Kim, Minseok Seo, YoungJin Jeon, Dong-Geol Choi, Shahaf Ettedgui, Raja Giryes, Shady Abu-Hussein, Binhui Xie, Shuang Li:
VisDA 2022 Challenge: Domain Adaptation for Industrial Waste Sorting. NeurIPS (Competition and Demos) 2021: 104-118 - [c11]Nuno Cruz Garcia, Sarah Adel Bargal, Vitaly Ablavsky, Pietro Morerio, Vittorio Murino, Stan Sclaroff:
Distillation Multiple Choice Learning for Multimodal Action Recognition. WACV 2021: 2754-2763 - [i19]Dina Bashkirova, Ziliang Zhu, James Akl, Fadi M. Alladkani, Ping Hu, Vitaly Ablavsky, Berk Çalli, Sarah Adel Bargal, Kate Saenko:
ZeroWaste Dataset: Towards Automated Waste Recycling. CoRR abs/2106.02740 (2021) - [i18]Nataniel Ruiz, Adam Kortylewski, Weichao Qiu, Cihang Xie, Sarah Adel Bargal, Alan L. Yuille, Stan Sclaroff:
Simulated Adversarial Testing of Face Recognition Models. CoRR abs/2106.04569 (2021) - [i17]Benjamin Spetter-Goldstein, Nataniel Ruiz, Sarah Adel Bargal:
Examining the Human Perceptibility of Black-Box Adversarial Attacks on Face Recognition. CoRR abs/2107.09126 (2021) - 2020
- [j5]Mathew Monfort, Carl Vondrick, Aude Oliva, Alex Andonian, Bolei Zhou, Kandan Ramakrishnan, Sarah Adel Bargal, Tom Yan, Lisa M. Brown, Quanfu Fan, Dan Gutfreund:
Moments in Time Dataset: One Million Videos for Event Understanding. IEEE Trans. Pattern Anal. Mach. Intell. 42(2): 502-508 (2020) - [c10]Nataniel Ruiz, Sarah Adel Bargal, Stan Sclaroff:
Disrupting Deepfakes: Adversarial Attacks Against Conditional Image Translation Networks and Facial Manipulation Systems. ECCV Workshops (4) 2020: 236-251 - [c9]Sarah Adel Bargal, Andrea Zunino, Vitali Petsiuk, Jianming Zhang, Vittorio Murino, Stan Sclaroff, Kate Saenko:
Beyond the Visual Analysis of Deep Model Saliency. xxAI@ICML 2020: 255-269 - [c8]Donghyun Kim, Sarah Adel Bargal, Jianming Zhang, Stan Sclaroff:
Multi-way Encoding for Robustness. WACV 2020: 1341-1349 - [i16]Nataniel Ruiz, Sarah Adel Bargal, Stan Sclaroff:
Disrupting Deepfakes: Adversarial Attacks Against Conditional Image Translation Networks and Facial Manipulation Systems. CoRR abs/2003.01279 (2020) - [i15]Andrea Zunino, Sarah Adel Bargal, Riccardo Volpi, Mehrnoosh Sameki, Jianming Zhang, Stan Sclaroff, Vittorio Murino, Kate Saenko:
Explainable Deep Classification Models for Domain Generalization. CoRR abs/2003.06498 (2020) - [i14]Alvin Wan, Lisa Dunlap, Daniel Ho, Jihan Yin, Scott Lee, Henry Jin, Suzanne Petryk, Sarah Adel Bargal, Joseph E. Gonzalez:
NBDT: Neural-Backed Decision Trees. CoRR abs/2004.00221 (2020) - [i13]Nataniel Ruiz, Sarah Adel Bargal, Stan Sclaroff:
Protecting Against Image Translation Deepfakes by Leaking Universal Perturbations from Black-Box Neural Networks. CoRR abs/2006.06493 (2020) - [i12]Alvin Wan, Daniel Ho, Younjin Song, Henk Tillman, Sarah Adel Bargal, Joseph E. Gonzalez:
SegNBDT: Visual Decision Rules for Segmentation. CoRR abs/2006.06868 (2020)
2010 – 2019
- 2019
- [b1]Sarah Adel Bargal:
Grounding deep models of visual data. Boston University, USA, 2019 - [j4]Fatih Çakir, Kun He, Sarah Adel Bargal, Stan Sclaroff:
Hashing with Mutual Information. IEEE Trans. Pattern Anal. Mach. Intell. 41(10): 2424-2437 (2019) - [c7]Sarah Adel Bargal, Andrea Zunino, Vitali Petsiuk, Jianming Zhang, Kate Saenko, Vittorio Murino, Stan Sclaroff:
Guided Zoom: Questioning Network Evidence for Fine-grained Classification. BMVC 2019: 17 - [c6]Sarah Adel Bargal, Andrea Zunino, Vitali Petsiuk, Jianming Zhang, Kate Saenko, Vittorio Murino, Stan Sclaroff:
Are CNN Predictions based on Reasonable Evidence? CVPR Workshops 2019: 67-70 - [i11]Donghyun Kim, Sarah Adel Bargal, Jianming Zhang, Stan Sclaroff:
Multi-way Encoding for Robustness. CoRR abs/1906.02033 (2019) - [i10]Nuno C. Garcia, Sarah Adel Bargal, Vitaly Ablavsky, Pietro Morerio, Vittorio Murino, Stan Sclaroff:
DMCL: Distillation Multiple Choice Learning for Multimodal Action Recognition. CoRR abs/1912.10982 (2019) - 2018
- [j3]Jianming Zhang, Sarah Adel Bargal, Zhe Lin, Jonathan Brandt, Xiaohui Shen, Stan Sclaroff:
Top-Down Neural Attention by Excitation Backprop. Int. J. Comput. Vis. 126(10): 1084-1102 (2018) - [c5]Sarah Adel Bargal, Andrea Zunino, Donghyun Kim, Jianming Zhang, Vittorio Murino, Stan Sclaroff:
Excitation Backprop for RNNs. CVPR 2018: 1440-1449 - [c4]Kun He, Fatih Çakir, Sarah Adel Bargal, Stan Sclaroff:
Hashing as Tie-Aware Learning to Rank. CVPR 2018: 4023-4032 - [i9]Mathew Monfort, Bolei Zhou, Sarah Adel Bargal, Alex Andonian, Tom Yan, Kandan Ramakrishnan, Lisa M. Brown, Quanfu Fan, Dan Gutfreund, Carl Vondrick, Aude Oliva:
Moments in Time Dataset: one million videos for event understanding. CoRR abs/1801.03150 (2018) - [i8]Fatih Çakir, Kun He, Sarah Adel Bargal, Stan Sclaroff:
Hashing with Mutual Information. CoRR abs/1803.00974 (2018) - [i7]Andrea Zunino, Sarah Adel Bargal, Pietro Morerio, Jianming Zhang, Stan Sclaroff, Vittorio Murino:
Excitation Dropout: Encouraging Plasticity in Deep Neural Networks. CoRR abs/1805.09092 (2018) - [i6]Sarah Adel Bargal, Andrea Zunino, Vitali Petsiuk, Jianming Zhang, Kate Saenko, Vittorio Murino, Stan Sclaroff:
Guided Zoom: Questioning Network Evidence for Fine-grained Classification. CoRR abs/1812.02626 (2018) - 2017
- [j2]Fatih Çakir, Sarah Adel Bargal, Stan Sclaroff:
Online supervised hashing. Comput. Vis. Image Underst. 156: 162-173 (2017) - [j1]Shugao Ma, Sarah Adel Bargal, Jianming Zhang, Leonid Sigal, Stan Sclaroff:
Do less and achieve more: Training CNNs for action recognition utilizing action images from the Web. Pattern Recognit. 68: 334-345 (2017) - [c3]Fatih Çakir, Kun He, Sarah Adel Bargal, Stan Sclaroff:
MIHash: Online Hashing with Mutual Information. ICCV 2017: 437-445 - [i5]Fatih Çakir, Kun He, Sarah Adel Bargal, Stan Sclaroff:
MIHash: Online Hashing with Mutual Information. CoRR abs/1703.08919 (2017) - [i4]Kun He, Fatih Çakir, Sarah A. Bargal, Stan Sclaroff:
Hashing as Tie-Aware Learning to Rank. CoRR abs/1705.08562 (2017) - [i3]Sarah Adel Bargal, Andrea Zunino, Donghyun Kim, Jianming Zhang, Vittorio Murino, Stan Sclaroff:
Excitation Backprop for RNNs. CoRR abs/1711.06778 (2017) - 2016
- [c2]Sarah Adel Bargal, Emad Barsoum, Cristian Canton-Ferrer, Cha Zhang:
Emotion recognition in the wild from videos using images. ICMI 2016: 433-436 - 2015
- [c1]Sarah Adel Bargal, Alexander Welles, Cliff R. Chan, Samuel Howes, Stan Sclaroff, Elizabeth Ragan, Courtney Johnson, Christopher J. Gill:
Image-based Ear Biometric Smartphone App for Patient Identification in Field Settings. VISAPP (3) 2015: 171-179 - [i2]Fatih Çakir, Sarah Adel Bargal, Stan Sclaroff:
Online Supervised Hashing for Ever-Growing Datasets. CoRR abs/1511.03257 (2015) - [i1]Shugao Ma, Sarah Adel Bargal, Jianming Zhang, Leonid Sigal, Stan Sclaroff:
Do Less and Achieve More: Training CNNs for Action Recognition Utilizing Action Images from the Web. CoRR abs/1512.07155 (2015)
Coauthor Index
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