Saeid Asgari Taghanaki

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 32

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Comput. Medical Imaging Graph.

Artif. Intell. Rev.

Publications

Saeid Asgari Taghanaki, Joseph G. Lambourne
Detecting Generative Parroting through Overfitting Masked Autoencoders. CoRR (2024)
Aliasghar Khani, Saeid Asgari Taghanaki, Aditya Sanghi, Ali Mahdavi-Amiri, Ghassan Hamarneh
SLiMe: Segment Like Me. ICLR (2024)
Aliasghar Khani, Saeid Asgari Taghanaki, Aditya Sanghi, Ali Mahdavi-Amiri, Ghassan Hamarneh
SLiMe: Segment Like Me. CoRR (2023)
Saeid Asgari Taghanaki, Aliasghar Khani, Amir Khasahmadi, Aditya Sanghi, Karl D. D. Willis, Ali Mahdavi-Amiri
Learned Visual Features to Textual Explanations. CoRR (2023)
Aditya Sanghi, Pradeep Kumar Jayaraman, Arianna Rampini, Joseph G. Lambourne, Hooman Shayani, Evan Atherton, Saeid Asgari Taghanaki
Sketch-A-Shape: Zero-Shot Sketch-to-3D Shape Generation. CoRR (2023)
Saeid Asgari Taghanaki, Aliasghar Khani, Fereshte Khani, Ali Gholami, Linh Tran, Ali Mahdavi-Amiri, Ghassan Hamarneh
MaskTune: Mitigating Spurious Correlations by Forcing to Explore. NeurIPS (2022)
Saeid Asgari Taghanaki, Ali Gholami, Fereshte Khani, Kristy Choi, Linh Tran, Ran Zhang, Aliasghar Khani
Counterbalancing Teacher: Regularizing Batch Normalized Models for Robustness. CoRR (2022)
Saeid Asgari Taghanaki, Aliasghar Khani, Fereshte Khani, Ali Gholami, Linh Tran, Ali Mahdavi-Amiri, Ghassan Hamarneh
MaskTune: Mitigating Spurious Correlations by Forcing to Explore. CoRR (2022)
Linh Tran, Amir Hosein Khasahmadi, Aditya Sanghi, Saeid Asgari Taghanaki
Group-disentangled Representation Learning with Weakly-Supervised Regularization. CoRR (2021)
Saeid Asgari Taghanaki, Kristy Choi, Amir Hosein Khasahmadi, Anirudh Goyal
Robust Representation Learning via Perceptual Similarity Metrics. ICML (2021)
Saeid Asgari Taghanaki, Kumar Abhishek, Joseph Paul Cohen, Julien Cohen-Adad, Ghassan Hamarneh
Deep semantic segmentation of natural and medical images: a review. Artif. Intell. Rev. 54 (1) (2021)
Saeid Asgari Taghanaki, Kristy Choi, Amir Khasahmadi, Anirudh Goyal
Robust Representation Learning via Perceptual Similarity Metrics. CoRR (2021)
Saeid Asgari Taghanaki, Kaveh Hassani, Pradeep Kumar Jayaraman, Amir Hosein Khas Ahmadi, Tonya Custis
PointMask: Towards Interpretable and Bias-Resilient Point Cloud Processing. CoRR (2020)
Saeid Asgari Taghanaki, Mohammad Havaei, Alex Lamb, Aditya Sanghi, Ara Danielyan, Tonya Custis
Jigsaw-VAE: Towards Balancing Features in Variational Autoencoders. CoRR (2020)
Saeid Asgari Taghanaki, Jieliang Luo, Ran Zhang, Ye Wang, Pradeep Kumar Jayaraman, Krishna Murthy Jatavallabhula
RobustPointSet: A Dataset for Benchmarking Robustness of Point Cloud Classifiers. CoRR (2020)
Saeid Asgari Taghanaki, Kumar Abhishek, Joseph Paul Cohen, Julien Cohen-Adad, Ghassan Hamarneh
Deep Semantic Segmentation of Natural and Medical Images: A Review. CoRR (2019)
Saeid Asgari Taghanaki, Kumar Abhishek, Shekoofeh Azizi, Ghassan Hamarneh
A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations. CVPR (2019)
Saeid Asgari Taghanaki, Kumar Abhishek, Shekoofeh Azizi, Ghassan Hamarneh
A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations. CoRR (2019)
Saeid Asgari Taghanaki, Yefeng Zheng, Shaohua Kevin Zhou, Bogdan Georgescu, Puneet Sharma, Daguang Xu, Dorin Comaniciu, Ghassan Hamarneh
Combo loss: Handling input and output imbalance in multi-organ segmentation. Comput. Medical Imaging Graph. 75 (2019)
Saeid Asgari Taghanaki, Aïcha BenTaieb, Anmol Sharma, Shaohua Kevin Zhou, Yefeng Zheng, Bogdan Georgescu, Puneet Sharma, Zhoubing Xu, Dorin Comaniciu, Ghassan Hamarneh
Select, Attend, and Transfer: Light, Learnable Skip Connections. MLMI@MICCAI (2019)
Saeid Asgari Taghanaki, Kumar Abhishek, Ghassan Hamarneh
Improved Inference via Deep Input Transfer. CoRR (2019)
Saeid Asgari Taghanaki, Mohammad Havaei, Tess Berthier, Francis Dutil, Lisa Di-Jorio, Ghassan Hamarneh, Yoshua Bengio
InfoMask: Masked Variational Latent Representation to Localize Chest Disease. MICCAI (6) (2019)
Saeid Asgari Taghanaki, Kumar Abhishek, Ghassan Hamarneh
Improved Inference via Deep Input Transfer. MICCAI (6) (2019)
Saeid Asgari Taghanaki, Kumar Abhishek, Ghassan Hamarneh
Signed Input Regularization. CoRR (2019)
Saeid Asgari Taghanaki, Mohammad Havaei, Tess Berthier, Francis Dutil, Lisa Di-Jorio, Ghassan Hamarneh, Yoshua Bengio
InfoMask: Masked Variational Latent Representation to Localize Chest Disease. CoRR (2019)
Saeid Asgari Taghanaki, Aïcha BenTaieb, Anmol Sharma, Shaohua Kevin Zhou, Yefeng Zheng, Bogdan Georgescu, Puneet Sharma, Sasa Grbic, Zhoubing Xu, Dorin Comaniciu, Ghassan Hamarneh
Select, Attend, and Transfer: Light, Learnable Skip Connections. CoRR (2018)
Saeid Asgari Taghanaki, Yefeng Zheng, Shaohua Kevin Zhou, Bogdan Georgescu, Puneet Sharma, Daguang Xu, Dorin Comaniciu, Ghassan Hamarneh
Combo Loss: Handling Input and Output Imbalance in Multi-Organ Segmentation. CoRR (2018)
Saeid Asgari Taghanaki, Arkadeep Das, Ghassan Hamarneh
Vulnerability Analysis of Chest X-Ray Image Classification Against Adversarial Attacks. MLCN/DLF/iMIMIC@MICCAI (2018)
Saeid Asgari Taghanaki, Arkadeep Das, Ghassan Hamarneh
Vulnerability Analysis of Chest X-Ray Image Classification Against Adversarial Attacks. CoRR (2018)
Saeid Asgari Taghanaki, Nóirín Duggan, Hillgan Ma, Xinchi Hou, Anna Celler, François Bénard, Ghassan Hamarneh
Segmentation-free direct tumor volume and metabolic activity estimation from PET scans. Comput. Medical Imaging Graph. 63 (2018)
Saeid Asgari Taghanaki, Jeremy Kawahara, Brandon Miles, Ghassan Hamarneh
Pareto-optimal multi-objective dimensionality reduction deep auto-encoder for mammography classification. Comput. Methods Programs Biomed. 145 (2017)
Saeid Asgari Taghanaki, Yonghuai Liu, Brandon Miles, Ghassan Hamarneh
Geometry-Based Pectoral Muscle Segmentation From MLO Mammogram Views. IEEE Trans. Biomed. Eng. 64 (11) (2017)