Sarah Adel Bargal

Orcid: 0000-0003-3157-0412

According to our database1, Sarah Adel Bargal authored at least 44 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
ATL-BP: A Student Engagement Dataset and Model for Affect Transfer Learning for Behavior Prediction.
IEEE Trans. Biom. Behav. Identity Sci., July, 2023

Lasagna: Layered Score Distillation for Disentangled Object Relighting.
CoRR, 2023

Hardwiring ViT Patch Selectivity into CNNs using Patch Mixing.
CoRR, 2023

COVES: A Cognitive-Affective Deep Model that Personalizes Math Problem Difficulty in Real Time and Improves Student Engagement with an Online Tutor.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Demo: Leveraging Edge Intelligence for Affective Communication over URLLC.
Proceedings of the 48th IEEE Conference on Local Computer Networks, 2023

Face Readers: The Frontier of Computer Vision and Math Learning.
Proceedings of the Workshop "Towards the Future of AI-augmented Human Tutoring in Math Learning" co-located with The 24th International Conference on Artificial Intelligence in Education (AIED 2023), 2023

Practical Disruption of Image Translation Deepfake Networks.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Ani-GIFs: A benchmark dataset for domain generalization of action recognition from GIFs.
Frontiers Comput. Sci., 2022

Temporal Relevance Analysis for Video Action Models.
CoRR, 2022

Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Multi-varied Cumulative Alignment for Domain Adaptation.
Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022

Measurements and Interventions to Improve Student Engagement Through Facial Expression Recognition.
Proceedings of the Adaptive Instructional Systems, 2022

Simulated Adversarial Testing of Face Recognition Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

ZeroWaste Dataset: Towards Deformable Object Segmentation in Cluttered Scenes.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Guided Zoom: Zooming into Network Evidence to Refine Fine-Grained Model Decisions.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Excitation Dropout: Encouraging Plasticity in Deep Neural Networks.
Int. J. Comput. Vis., 2021

Examining the Human Perceptibility of Black-Box Adversarial Attacks on Face Recognition.
CoRR, 2021

ZeroWaste Dataset: Towards Automated Waste Recycling.
CoRR, 2021

Distillation Multiple Choice Learning for Multimodal Action Recognition.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021


NBDT: Neural-Backed Decision Tree.
Proceedings of the 9th International Conference on Learning Representations, 2021

Student Engagement Dataset.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Explainable Deep Classification Models for Domain Generalization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
Moments in Time Dataset: One Million Videos for Event Understanding.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

SegNBDT: Visual Decision Rules for Segmentation.
CoRR, 2020

Protecting Against Image Translation Deepfakes by Leaking Universal Perturbations from Black-Box Neural Networks.
CoRR, 2020

NBDT: Neural-Backed Decision Trees.
CoRR, 2020

Multi-way Encoding for Robustness.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Beyond the Visual Analysis of Deep Model Saliency.
Proceedings of the xxAI - Beyond Explainable AI, 2020

Disrupting Deepfakes: Adversarial Attacks Against Conditional Image Translation Networks and Facial Manipulation Systems.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019
Grounding deep models of visual data
PhD thesis, 2019

Hashing with Mutual Information.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

DMCL: Distillation Multiple Choice Learning for Multimodal Action Recognition.
CoRR, 2019

Are CNN Predictions based on Reasonable Evidence?
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Guided Zoom: Questioning Network Evidence for Fine-grained Classification.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018
Top-Down Neural Attention by Excitation Backprop.
Int. J. Comput. Vis., 2018

Excitation Backprop for RNNs.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Hashing as Tie-Aware Learning to Rank.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Do less and achieve more: Training CNNs for action recognition utilizing action images from the Web.
Pattern Recognit., 2017

Online supervised hashing.
Comput. Vis. Image Underst., 2017

MIHash: Online Hashing with Mutual Information.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
Emotion recognition in the wild from videos using images.
Proceedings of the 18th ACM International Conference on Multimodal Interaction, 2016

2015
Online Supervised Hashing for Ever-Growing Datasets.
CoRR, 2015

Image-based Ear Biometric Smartphone App for Patient Identification in Field Settings.
Proceedings of the VISAPP 2015, 2015


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