Saeid Asgari Taghanaki

39 papers A* 5Journal 29Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Disentangled PET Lesion Segmentation. ISBI Tanya Gatsak, Kumar Abhishek, Hanene Ben Yedder, Saeid Asgari Taghanaki, Ghassan Hamarneh
2025	J	`jnl`	Explain-Query-Test: Self-Evaluating LLMs Via Explanation and Comprehension Discrepancy. CoRR Saeid Asgari Taghanaki, Joao Monteiro
2025	A*	`conf`	SMITE: Segment Me In TimE. ICLR Amirhossein Alimohammadi, Sauradip Nag, Saeid Asgari Taghanaki, Andrea Tagliasacchi, Ghassan Hamarneh, Ali Mahdavi-Amiri
2024	J	`jnl`	Detecting Generative Parroting through Overfitting Masked Autoencoders. CoRR Saeid Asgari Taghanaki, Joseph G. Lambourne
2024	J	`jnl`	Disentangled PET Lesion Segmentation. CoRR Tanya Gatsak, Kumar Abhishek, Hanene Ben Yedder, Saeid Asgari Taghanaki, Ghassan Hamarneh
2024	J	`jnl`	How to Determine the Preferred Image Distribution of a Black-Box Vision-Language Model? CoRR Saeid Asgari Taghanaki, Joseph G. Lambourne, Alana Mongkhounsavath
2024	J	`jnl`	MMLU-Pro+: Evaluating Higher-Order Reasoning and Shortcut Learning in LLMs. CoRR Saeid Asgari Taghanaki, Ali Asghar Khani, Amir Khasahmadi
2024	A*	`conf`	SLiMe: Segment Like Me. ICLR Aliasghar Khani, Saeid Asgari Taghanaki, Aditya Sanghi, Ali Mahdavi-Amiri, Ghassan Hamarneh
2024	J	`jnl`	SMITE: Segment Me In TimE. CoRR Amirhossein Alimohammadi, Sauradip Nag, Saeid Asgari Taghanaki, Andrea Tagliasacchi, Ghassan Hamarneh, Ali Mahdavi-Amiri
2023	J	`jnl`	Learned Visual Features to Textual Explanations. CoRR Saeid Asgari Taghanaki, Aliasghar Khani, Amir Khasahmadi, Aditya Sanghi, Karl D. D. Willis, Ali Mahdavi-Amiri
2023	J	`jnl`	SLiMe: Segment Like Me. CoRR Aliasghar Khani, Saeid Asgari Taghanaki, Aditya Sanghi, Ali Mahdavi-Amiri, Ghassan Hamarneh
2023	J	`jnl`	Sketch-A-Shape: Zero-Shot Sketch-to-3D Shape Generation. CoRR Aditya Sanghi, Pradeep Kumar Jayaraman, Arianna Rampini, Joseph G. Lambourne, Hooman Shayani, Evan Atherton, Saeid Asgari Taghanaki
2022	J	`jnl`	Counterbalancing Teacher: Regularizing Batch Normalized Models for Robustness. CoRR Saeid Asgari Taghanaki, Ali Gholami, Fereshte Khani, Kristy Choi, Linh Tran, Ran Zhang, Aliasghar Khani
2022	A*	`conf`	MaskTune: Mitigating Spurious Correlations by Forcing to Explore. NeurIPS Saeid Asgari Taghanaki, Aliasghar Khani, Fereshte Khani, Ali Gholami, Linh Tran, Ali Mahdavi-Amiri, Ghassan Hamarneh
2022	J	`jnl`	MaskTune: Mitigating Spurious Correlations by Forcing to Explore. CoRR Saeid Asgari Taghanaki, Aliasghar Khani, Fereshte Khani, Ali Gholami, Linh Tran, Ali Mahdavi-Amiri, Ghassan Hamarneh
2021	J	`jnl`	Deep semantic segmentation of natural and medical images: a review. Artif. Intell. Rev. Saeid Asgari Taghanaki, Kumar Abhishek, Joseph Paul Cohen, Julien Cohen-Adad, Ghassan Hamarneh
2021	J	`jnl`	Group-disentangled Representation Learning with Weakly-Supervised Regularization. CoRR Linh Tran, Amir Hosein Khasahmadi, Aditya Sanghi, Saeid Asgari Taghanaki
2021	A*	`conf`	Robust Representation Learning via Perceptual Similarity Metrics. ICML Saeid Asgari Taghanaki, Kristy Choi, Amir Hosein Khasahmadi, Anirudh Goyal
2021	J	`jnl`	Robust Representation Learning via Perceptual Similarity Metrics. CoRR Saeid Asgari Taghanaki, Kristy Choi, Amir Khasahmadi, Anirudh Goyal
2020	J	`jnl`	Jigsaw-VAE: Towards Balancing Features in Variational Autoencoders. CoRR Saeid Asgari Taghanaki, Mohammad Havaei, Alex Lamb, Aditya Sanghi, Ara Danielyan, Tonya Custis
2020	J	`jnl`	PointMask: Towards Interpretable and Bias-Resilient Point Cloud Processing. CoRR Saeid Asgari Taghanaki, Kaveh Hassani, Pradeep Kumar Jayaraman, Amir Hosein Khas Ahmadi, Tonya Custis
2020	J	`jnl`	RobustPointSet: A Dataset for Benchmarking Robustness of Point Cloud Classifiers. CoRR Saeid Asgari Taghanaki, Jieliang Luo, Ran Zhang, Ye Wang, Pradeep Kumar Jayaraman, Krishna Murthy Jatavallabhula
2019	A*	`conf`	A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations. CVPR Saeid Asgari Taghanaki, Kumar Abhishek, Shekoofeh Azizi, Ghassan Hamarneh
2019	J	`jnl`	A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations. CoRR Saeid Asgari Taghanaki, Kumar Abhishek, Shekoofeh Azizi, Ghassan Hamarneh
2019	J	`jnl`	Combo loss: Handling input and output imbalance in multi-organ segmentation. Comput. Medical Imaging Graph. Saeid Asgari Taghanaki, Yefeng Zheng, Shaohua Kevin Zhou, Bogdan Georgescu, Puneet Sharma, Daguang Xu, Dorin Comaniciu, Ghassan Hamarneh
2019	J	`jnl`	Deep Semantic Segmentation of Natural and Medical Images: A Review. CoRR Saeid Asgari Taghanaki, Kumar Abhishek, Joseph Paul Cohen, Julien Cohen-Adad, Ghassan Hamarneh
2019	—	`conf`	Improved Inference via Deep Input Transfer. MICCAI (6) Saeid Asgari Taghanaki, Kumar Abhishek, Ghassan Hamarneh
2019	J	`jnl`	Improved Inference via Deep Input Transfer. CoRR Saeid Asgari Taghanaki, Kumar Abhishek, Ghassan Hamarneh
2019	—	`conf`	InfoMask: Masked Variational Latent Representation to Localize Chest Disease. MICCAI (6) Saeid Asgari Taghanaki, Mohammad Havaei, Tess Berthier, Francis Dutil, Lisa Di-Jorio, Ghassan Hamarneh, Yoshua Bengio
2019	J	`jnl`	InfoMask: Masked Variational Latent Representation to Localize Chest Disease. CoRR Saeid Asgari Taghanaki, Mohammad Havaei, Tess Berthier, Francis Dutil, Lisa Di-Jorio, Ghassan Hamarneh, Yoshua Bengio
2019	—	`conf`	Select, Attend, and Transfer: Light, Learnable Skip Connections. MLMI@MICCAI Saeid Asgari Taghanaki, Aïcha BenTaieb, Anmol Sharma, Shaohua Kevin Zhou, Yefeng Zheng, Bogdan Georgescu, Puneet Sharma, Zhoubing Xu, Dorin Comaniciu, Ghassan Hamarneh
2019	J	`jnl`	Signed Input Regularization. CoRR Saeid Asgari Taghanaki, Kumar Abhishek, Ghassan Hamarneh
2018	J	`jnl`	Combo Loss: Handling Input and Output Imbalance in Multi-Organ Segmentation. CoRR Saeid Asgari Taghanaki, Yefeng Zheng, Shaohua Kevin Zhou, Bogdan Georgescu, Puneet Sharma, Daguang Xu, Dorin Comaniciu, Ghassan Hamarneh
2018	J	`jnl`	Segmentation-free direct tumor volume and metabolic activity estimation from PET scans. Comput. Medical Imaging Graph. Saeid Asgari Taghanaki, Nóirín Duggan, Hillgan Ma, Xinchi Hou, Anna Celler, François Bénard, Ghassan Hamarneh
2018	J	`jnl`	Select, Attend, and Transfer: Light, Learnable Skip Connections. CoRR Saeid Asgari Taghanaki, Aïcha BenTaieb, Anmol Sharma, Shaohua Kevin Zhou, Yefeng Zheng, Bogdan Georgescu, Puneet Sharma, Sasa Grbic, Zhoubing Xu, Dorin Comaniciu, Ghassan Hamarneh
2018	—	`conf`	Vulnerability Analysis of Chest X-Ray Image Classification Against Adversarial Attacks. MLCN/DLF/iMIMIC@MICCAI Saeid Asgari Taghanaki, Arkadeep Das, Ghassan Hamarneh
2018	J	`jnl`	Vulnerability Analysis of Chest X-Ray Image Classification Against Adversarial Attacks. CoRR Saeid Asgari Taghanaki, Arkadeep Das, Ghassan Hamarneh
2017	J	`jnl`	Geometry-Based Pectoral Muscle Segmentation From MLO Mammogram Views. IEEE Trans. Biomed. Eng. Saeid Asgari Taghanaki, Yonghuai Liu, Brandon Miles, Ghassan Hamarneh
2017	J	`jnl`	Pareto-optimal multi-objective dimensionality reduction deep auto-encoder for mammography classification. Comput. Methods Programs Biomed. Saeid Asgari Taghanaki, Jeremy Kawahara, Brandon Miles, Ghassan Hamarneh