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Saeid Asgari Taghanaki

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Detecting Generative Parroting through Overfitting Masked Autoencoders

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Mar 27, 2024
Saeid Asgari Taghanaki, Joseph Lambourne

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SLiMe: Segment Like Me

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Sep 06, 2023
Aliasghar Khani, Saeid Asgari Taghanaki, Aditya Sanghi, Ali Mahdavi Amiri, Ghassan Hamarneh

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Learned Visual Features to Textual Explanations

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Sep 01, 2023
Saeid Asgari Taghanaki, Aliasghar Khani, Amir Khasahmadi, Aditya Sanghi, Karl D. D. Willis, Ali Mahdavi-Amiri

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Sketch-A-Shape: Zero-Shot Sketch-to-3D Shape Generation

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Jul 08, 2023
Aditya Sanghi, Pradeep Kumar Jayaraman, Arianna Rampini, Joseph Lambourne, Hooman Shayani, Evan Atherton, Saeid Asgari Taghanaki

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MaskTune: Mitigating Spurious Correlations by Forcing to Explore

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Oct 08, 2022
Saeid Asgari Taghanaki, Aliasghar Khani, Fereshte Khani, Ali Gholami, Linh Tran, Ali Mahdavi-Amiri, Ghassan Hamarneh

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Counterbalancing Teacher: Regularizing Batch Normalized Models for Robustness

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Jul 04, 2022
Saeid Asgari Taghanaki, Ali Gholami, Fereshte Khani, Kristy Choi, Linh Tran, Ran Zhang, Aliasghar Khani

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Robust Representation Learning via Perceptual Similarity Metrics

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Jun 11, 2021
Saeid Asgari Taghanaki, Kristy Choi, Amir Khasahmadi, Anirudh Goyal

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RobustPointSet: A Dataset for Benchmarking Robustness of Point Cloud Classifiers

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Nov 25, 2020
Saeid Asgari Taghanaki, Jieliang Luo, Ran Zhang, Ye Wang, Pradeep Kumar Jayaraman, Krishna Murthy Jatavallabhula

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PointMask: Towards Interpretable and Bias-Resilient Point Cloud Processing

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Jul 09, 2020
Saeid Asgari Taghanaki, Kaveh Hassani, Pradeep Kumar Jayaraman, Amir Hosein Khasahmadi, Tonya Custis

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Jigsaw-VAE: Towards Balancing Features in Variational Autoencoders

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May 12, 2020
Saeid Asgari Taghanaki, Mohammad Havaei, Alex Lamb, Aditya Sanghi, Ara Danielyan, Tonya Custis

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