Dina Bashkirova

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 19

Top Topics

Manifold Alignment

Information Flow

Unsupervised Manner

Cluttered Scenes

Top Venues

NeurIPS (Competition and Demos)

Publications

Piotr Teterwak, Soren Nelson, Nikoli Dryden, Dina Bashkirova, Kate Saenko, Bryan A. Plummer
Learning to Compose SuperWeights for Neural Parameter Allocation Search. WACV (2024)
Dina Bashkirova, José Lezama, Kihyuk Sohn, Kate Saenko, Irfan Essa
MaskSketch: Unpaired Structure-guided Masked Image Generation. CVPR (2023)
Ben Usman, Dina Bashkirova, Kate Saenko
RIFT: Disentangled Unsupervised Image Translation via Restricted Information Flow. WACV (2023)
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 (2023)
Dina Bashkirova, José Lezama, Kihyuk Sohn, Kate Saenko, Irfan Essa
MaskSketch: Unpaired Structure-guided Masked Image Generation. CoRR (2023)
Piotr Teterwak, Soren Nelson, Nikoli Dryden, Dina Bashkirova, Kate Saenko, Bryan A. Plummer
Learning to Compose SuperWeights for Neural Parameter Allocation Search. CoRR (2023)
Dina Bashkirova, Arijit Ray, Rupayan Mallick, Sarah Adel Bargal, Jianming Zhang, Ranjay Krishna, Kate Saenko
Lasagna: Layered Score Distillation for Disentangled Object Relighting. CoRR (2023)
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)
Dina Bashkirova, Ben Usman, Kate Saenko
Evaluation of Correctness in Unsupervised Many-to-Many Image Translation. WACV (2022)
Dina Bashkirova, Dan Hendrycks, Donghyun Kim, Samarth Mishra, Kate Saenko, Kuniaki Saito, Piotr Teterwak, Ben Usman
VisDA-2021 Competition Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data. CoRR (2021)
Dina Bashkirova, Ben Usman, Kate Saenko
Evaluation of Correctness in Unsupervised Many-to-Many Image Translation. CoRR (2021)
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 (2021)
Ben Usman, Dina Bashkirova, Kate Saenko
Disentangled Unsupervised Image Translation via Restricted Information Flow. CoRR (2021)
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)
Andrey Zhmoginov, Dina Bashkirova, Mark Sandler
Compositional Models: Multi-Task Learning and Knowledge Transfer with Modular Networks. CoRR (2021)
Dina Bashkirova, Dan Hendrycks, Donghyun Kim, Haojin Liao, Samarth Mishra, Chandramouli Rajagopalan, Kate Saenko, Kuniaki Saito, Burhan Ul Tayyab, Piotr Teterwak, Ben Usman
VisDA-2021 Competition: Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data. NeurIPS (Competition and Demos) (2021)
Dina Bashkirova, Ben Usman, Kate Saenko
Adversarial Self-Defense for Cycle-Consistent GANs. NeurIPS (2019)
Dina Bashkirova, Ben Usman, Kate Saenko
Adversarial Self-Defense for Cycle-Consistent GANs. CoRR (2019)
Dina Bashkirova, Ben Usman, Kate Saenko
Unsupervised Video-to-Video Translation. CoRR (2018)