Sarah Adel Bargal
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
27
Venues
14
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
27 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | WACV | ViSTA: Visual Storytelling using Multi-modal Adapters for Text-to-Image Diffusion Models. | Sibo Dong, Ismail Shaheen, Maggie Shen, Rupayan Mallick, Sarah Adel Bargal |
| 2026 | WACV | Gen-AFFECT: Generation of Avatar Fine-grained Facial Expressions with Consistent identiTy. | Hao Yu, Rupayan Mallick, Margrit Betke, Sarah Adel Bargal |
| 2026 | WACV | GenEava: Generating Cartoon Avatars With Fine-Grained Facial Expressions From Realistic Diffusion-Based Faces. | Hao Yu, Rupayan Mallick, Margrit Betke, Sarah Adel Bargal |
| 2026 | SP | Evaluating Concept Filtering Defenses against Child Sexual Abuse Material Generation by Text-to-Image Models. | Ana-Maria Cretu, Klim Kireev, Amro Abdalla, Wisdom Obinna, Raphael Meier, Sarah Adel Bargal, Elissa M. Redmiles, Carmela Troncoso |
| 2025 | CVPR | D-Feat Occlusions: Diffusion Features for Robustness to Partial Visual Occlusions in Object Recognition. | Rupayan Mallick, Sibo Dong, Nataniel Ruiz, Sarah Adel Bargal |
| 2025 | ICCV | Data Bias Mitigation and Evaluation Framework for Diffusion-Based Generative Face Models. | Hao Yu, Margrit Betke, Sarah Adel Bargal |
| 2024 | AIED | Large Language Models for Career Readiness Prediction. | Chenwei Cui, Amro Abdalla, Derry Wijaya, Scott Solberg, Sarah Adel Bargal |
| 2024 | AIED | Affect Behavior Prediction: Using Transformers and Timing Information to Make Early Predictions of Student Exercise Outcome. | Hao Yu, Danielle A. Allessio, William Rebelsky, Tom Murray, John J. Magee, Ivon Arroyo, Beverly P. Woolf, Sarah Adel Bargal, Margrit Betke |
| 2023 | AAAI | Practical Disruption of Image Translation Deepfake Networks. | Nataniel Ruiz, Sarah Adel Bargal, Cihang Xie, Stan Sclaroff |
| 2023 | AIED | Face Readers: The Frontier of Computer Vision and Math Learning. | Beverly P. Woolf, Margrit Betke, Hao Yu, Sarah Adel Bargal, Ivon Arroyo, John J. Magee, Danielle Allessio, William Rebelsky |
| 2023 | LCN | Demo: Leveraging Edge Intelligence for Affective Communication over URLLC. | Ibrahim M. Amer, Sarah Adel Bargal, Sharief M. A. Oteafy, Hossam S. Hassanein |
| 2022 | CVPR | ZeroWaste Dataset: Towards Deformable Object Segmentation in Cluttered Scenes. | Dina Bashkirova, Mohamed Abdelfattah, Ziliang Zhu, James Akl, Fadi M. Alladkani, Ping Hu, Vitaly Ablavsky, Berk alli, Sarah Adel Bargal, Kate Saenko |
| 2022 | CVPR | Simulated Adversarial Testing of Face Recognition Models. | Nataniel Ruiz, Adam Kortylewski, Weichao Qiu, Cihang Xie, Sarah Adel Bargal, Alan L. Yuille, Stan Sclaroff |
| 2022 | HCI | Measurements and Interventions to Improve Student Engagement Through Facial Expression Recognition. | 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 |
| 2022 | ICIAP | Multi-varied Cumulative Alignment for Domain Adaptation. | Marc Oliu, Sarah Adel Bargal, Stan Sclaroff, Xavier Bar, Sergio Escalera |
| 2021 | CVPR | Explainable Deep Classification Models for Domain Generalization. | Andrea Zunino, Sarah Adel Bargal, Riccardo Volpi, Mehrnoosh Sameki, Jianming Zhang, Stan Sclaroff, Vittorio Murino, Kate Saenko |
| 2021 | ICLR | NBDT: Neural-Backed Decision Tree. | Alvin Wan, Lisa Dunlap, Daniel Ho, Jihan Yin, Scott Lee, Suzanne Petryk, Sarah Adel Bargal, Joseph E. Gonzalez |
| 2021 | WACV | Distillation Multiple Choice Learning for Multimodal Action Recognition. | Nuno Cruz Garcia, Sarah Adel Bargal, Vitaly Ablavsky, Pietro Morerio, Vittorio Murino, Stan Sclaroff |
| 2020 | ECCV | Disrupting Deepfakes: Adversarial Attacks Against Conditional Image Translation Networks and Facial Manipulation Systems. | Nataniel Ruiz, Sarah Adel Bargal, Stan Sclaroff |
| 2020 | ICML | Beyond the Visual Analysis of Deep Model Saliency. | Sarah Adel Bargal, Andrea Zunino, Vitali Petsiuk, Jianming Zhang, Vittorio Murino, Stan Sclaroff, Kate Saenko |
| 2020 | WACV | Multi-way Encoding for Robustness. | Donghyun Kim, Sarah Adel Bargal, Jianming Zhang, Stan Sclaroff |
| 2019 | BMVC | Guided Zoom: Questioning Network Evidence for Fine-grained Classification. | Sarah Adel Bargal, Andrea Zunino, Vitali Petsiuk, Jianming Zhang, Kate Saenko, Vittorio Murino, Stan Sclaroff |
| 2019 | CVPR | Are CNN Predictions based on Reasonable Evidence? | Sarah Adel Bargal, Andrea Zunino, Vitali Petsiuk, Jianming Zhang, Kate Saenko, Vittorio Murino, Stan Sclaroff |
| 2018 | CVPR | Hashing as Tie-Aware Learning to Rank. | Kun He, Fatih akir, Sarah Adel Bargal, Stan Sclaroff |
| 2018 | CVPR | Excitation Backprop for RNNs. | Sarah Adel Bargal, Andrea Zunino, Donghyun Kim, Jianming Zhang, Vittorio Murino, Stan Sclaroff |
| 2017 | ICCV | MIHash: Online Hashing with Mutual Information. | Fatih akir, Kun He, Sarah Adel Bargal, Stan Sclaroff |
| 2016 | ICMI | Emotion recognition in the wild from videos using images. | Sarah Adel Bargal, Emad Barsoum, Cristian Canton-Ferrer, Cha Zhang |