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ORCIDSaeid Asgari Taghanaki
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2020 – today
- 2025
[i24]Saeid Asgari Taghanaki, Joao Monteiro:
Explain-Query-Test: Self-Evaluating LLMs Via Explanation and Comprehension Discrepancy. CoRR abs/2501.11721 (2025)- 2024
- [c8]Aliasghar Khani, Saeid Asgari Taghanaki, Aditya Sanghi, Ali Mahdavi-Amiri, Ghassan Hamarneh:
SLiMe: Segment Like Me. ICLR 2024 - [i23]Saeid Asgari Taghanaki, Joseph G. Lambourne:
Detecting Generative Parroting through Overfitting Masked Autoencoders. CoRR abs/2403.19050 (2024) - [i22]Saeid Asgari Taghanaki, Joseph G. Lambourne, Alana Mongkhounsavath:
How to Determine the Preferred Image Distribution of a Black-Box Vision-Language Model? CoRR abs/2409.02253 (2024) - [i21]Saeid Asgari Taghanaki, Ali Asghar Khani, Amir Khasahmadi:
MMLU-Pro+: Evaluating Higher-Order Reasoning and Shortcut Learning in LLMs. CoRR abs/2409.02257 (2024) - [i20]Amirhossein Alimohammadi, Sauradip Nag, Saeid Asgari Taghanaki, Andrea Tagliasacchi, Ghassan Hamarneh, Ali Mahdavi-Amiri:
SMITE: Segment Me In TimE. CoRR abs/2410.18538 (2024) - [i19]Tanya Gatsak, Kumar Abhishek, Hanene Ben Yedder, Saeid Asgari Taghanaki, Ghassan Hamarneh:
Disentangled PET Lesion Segmentation. CoRR abs/2411.01758 (2024) - 2023
- [i18]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 abs/2307.03869 (2023) - [i17]Saeid Asgari Taghanaki, Aliasghar Khani, Amir Khasahmadi, Aditya Sanghi, Karl D. D. Willis, Ali Mahdavi-Amiri:
Learned Visual Features to Textual Explanations. CoRR abs/2309.00733 (2023) - [i16]Aliasghar Khani, Saeid Asgari Taghanaki, Aditya Sanghi, Ali Mahdavi-Amiri, Ghassan Hamarneh:
SLiMe: Segment Like Me. CoRR abs/2309.03179 (2023) - 2022
- [c7]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 - [i15]Saeid Asgari Taghanaki, Ali Gholami, Fereshte Khani, Kristy Choi, Linh Tran, Ran Zhang, Aliasghar Khani:
Counterbalancing Teacher: Regularizing Batch Normalized Models for Robustness. CoRR abs/2207.01548 (2022) - [i14]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 abs/2210.00055 (2022) - 2021
- [j5]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): 137-178 (2021) - [c6]Saeid Asgari Taghanaki, Kristy Choi, Amir Hosein Khasahmadi, Anirudh Goyal:
Robust Representation Learning via Perceptual Similarity Metrics. ICML 2021: 10043-10053 - [i13]Saeid Asgari Taghanaki, Kristy Choi, Amir Khasahmadi, Anirudh Goyal:
Robust Representation Learning via Perceptual Similarity Metrics. CoRR abs/2106.06620 (2021) - [i12]Linh Tran, Amir Hosein Khasahmadi, Aditya Sanghi, Saeid Asgari Taghanaki:
Group-disentangled Representation Learning with Weakly-Supervised Regularization. CoRR abs/2110.12185 (2021) - 2020
- [i11]Saeid Asgari Taghanaki, Mohammad Havaei, Alex Lamb, Aditya Sanghi, Ara Danielyan, Tonya Custis:
Jigsaw-VAE: Towards Balancing Features in Variational Autoencoders. CoRR abs/2005.05496 (2020) - [i10]Saeid Asgari Taghanaki, Kaveh Hassani, Pradeep Kumar Jayaraman, Amir Hosein Khas Ahmadi, Tonya Custis:
PointMask: Towards Interpretable and Bias-Resilient Point Cloud Processing. CoRR abs/2007.04525 (2020) - [i9]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 abs/2011.11572 (2020)
2010 – 2019
- 2019
- [j4]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: 24-33 (2019) - [c5]Saeid Asgari Taghanaki, Kumar Abhishek, Shekoofeh Azizi, Ghassan Hamarneh:
A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations. CVPR 2019: 11340-11349 - [c4]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: 417-425 - [c3]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: 739-747 - [c2]Saeid Asgari Taghanaki, Kumar Abhishek, Ghassan Hamarneh:
Improved Inference via Deep Input Transfer. MICCAI (6) 2019: 819-827 - [i8]Saeid Asgari Taghanaki, Kumar Abhishek, Shekoofeh Azizi, Ghassan Hamarneh:
A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations. CoRR abs/1903.01015 (2019) - [i7]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 abs/1903.11741 (2019) - [i6]Saeid Asgari Taghanaki, Kumar Abhishek, Ghassan Hamarneh:
Improved Inference via Deep Input Transfer. CoRR abs/1904.02307 (2019) - [i5]Saeid Asgari Taghanaki, Kumar Abhishek, Joseph Paul Cohen, Julien Cohen-Adad, Ghassan Hamarneh:
Deep Semantic Segmentation of Natural and Medical Images: A Review. CoRR abs/1910.07655 (2019) - [i4]Saeid Asgari Taghanaki, Kumar Abhishek, Ghassan Hamarneh:
Signed Input Regularization. CoRR abs/1911.07086 (2019) - 2018
- [j3]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: 52-66 (2018) - [c1]Saeid Asgari Taghanaki, Arkadeep Das, Ghassan Hamarneh:
Vulnerability Analysis of Chest X-Ray Image Classification Against Adversarial Attacks. MLCN/DLF/iMIMIC@MICCAI 2018: 87-94 - [i3]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 abs/1804.05181 (2018) - [i2]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 abs/1805.02798 (2018) - [i1]Saeid Asgari Taghanaki, Arkadeep Das, Ghassan Hamarneh:
Vulnerability Analysis of Chest X-Ray Image Classification Against Adversarial Attacks. CoRR abs/1807.02905 (2018) - 2017
- [j2]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: 85-93 (2017) - [j1]Saeid Asgari Taghanaki, Yonghuai Liu, Brandon Miles, Ghassan Hamarneh:
Geometry-Based Pectoral Muscle Segmentation From MLO Mammogram Views. IEEE Trans. Biomed. Eng. 64(11): 2662-2671 (2017)
Coauthor Index
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