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Sarah 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
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
Demo: Leveraging Edge Intelligence for Affective Communication over URLLC. LCN 2023: 1-4 - [c21]Hao Yu
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
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
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
Simulated Adversarial Testing of Face Recognition Models. CVPR 2022: 4135-4145 - [c19]Dina Bashkirova, Mohamed Abdelfattah, Ziliang Zhu, James Akl
ZeroWaste Dataset: Towards Deformable Object Segmentation in Cluttered Scenes. CVPR 2022: 21115-21125 - [c18]Will Lee, Danielle Allessio, William Rebelsky, Sai Satish Gattupalli
Measurements and Interventions to Improve Student Engagement Through Facial Expression Recognition. HCI (31) 2022: 286-301 - [c17]Marc Oliu
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
Temporal Relevance Analysis for Video Action Models. CoRR abs/2204.11929 (2022) - [i20]Nataniel Ruiz, Sarah Adel Bargal, Cihang Xie
Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing. CoRR abs/2211.16499 (2022) - 2021
- [j7]Andrea Zunino
Excitation Dropout: Encouraging Plasticity in Deep Neural Networks. Int. J. Comput. Vis. 129(4): 1139-1152 (2021) - [j6]Sarah Adel Bargal
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
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
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
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
Beyond the Visual Analysis of Deep Model Saliency. xxAI@ICML 2020: 255-269 - [c8]Donghyun Kim
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
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
DMCL: Distillation Multiple Choice Learning for Multimodal Action Recognition. CoRR abs/1912.10982 (2019) - 2018
- [j3]Jianming Zhang
Top-Down Neural Attention by Excitation Backprop. Int. J. Comput. Vis. 126(10): 1084-1102 (2018) - [c5]Sarah Adel Bargal, Andrea Zunino, Donghyun Kim
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
Online supervised hashing. Comput. Vis. Image Underst. 156: 162-173 (2017) - [j1]Shugao Ma
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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last updated on 2024-10-30 20:32 CET by the dblp team
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