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- Dina Katabi
MIT, Cambridge, USA
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Publication search results
found 201 matches
- 2024
- Lijie Fan, Kaifeng Chen, Dilip Krishnan, Dina Katabi, Phillip Isola, Yonglong Tian:
Scaling Laws of Synthetic Images for Model Training ... for Now. CVPR 2024: 7382-7392 - Yonglong Tian, Lijie Fan, Kaifeng Chen, Dina Katabi, Dilip Krishnan, Phillip Isola:
Learning Vision from Models Rivals Learning Vision from Data. CVPR 2024: 15887-15898 - Tianhong Li, Sangnie Bhardwaj, Yonglong Tian, Han Zhang, Jarred Barber, Dina Katabi, Guillaume Lajoie, Huiwen Chang, Dilip Krishnan:
Leveraging Unpaired Data for Vision-Language Generative Models via Cycle Consistency. ICLR 2024 - Hao He, Chao Li, Wolfgang Ganglberger, Kaileigh Gallagher, Rumen Hristov, Michail Ouroutzoglou, Haoqi Sun, Jimeng Sun, M. Brandon Westover, Dina Katabi:
Contactless Polysomnography: What Radio Waves Tell Us about Sleep. CoRR abs/2405.11739 (2024) - 2023
- Dongkeon Park, Yechan Yu, Dina Katabi, Hong Kook Kim:
Adversarial Continual Learning to Transfer Self-Supervised Speech Representations for Voice Pathology Detection. IEEE Signal Process. Lett. 30: 932-936 (2023) - Tianhong Li, Huiwen Chang, Shlok Kumar Mishra, Han Zhang, Dina Katabi, Dilip Krishnan:
MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis. CVPR 2023: 2142-2152 - Mehdi Boukhechba, Elena Reynoso, Ioannis Pandis, Kenneth Mosca, Rumen Hristov, Shichao Yue, Yuqing Ai, Hariharan Rahul, Dina Katabi, Mark Morris, Stefan Avey:
Digital Phenotyping of Autoimmune Diseases Using Non-Contact Radio Frequency Sensing: A Longitudinal Study Comparing Systemic Lupus Erythematosus and Healthy Participants. UbiComp/ISWC Adjunct 2023: 615-619 - Yeonghwan Song, Seokwoo Jang, Dina Katabi, Jeany Son:
Unsupervised Object Localization with Representer Point Selection. ICCV 2023: 6511-6521 - Hao He, Kaiwen Zha, Dina Katabi:
Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning. ICLR 2023 - Yuzhe Yang, Xin Liu, Jiang Wu, Silviu Borac, Dina Katabi, Ming-Zher Poh, Daniel McDuff:
SimPer: Simple Self-Supervised Learning of Periodic Targets. ICLR 2023 - Yuzhe Yang, Haoran Zhang, Dina Katabi, Marzyeh Ghassemi:
Change is Hard: A Closer Look at Subpopulation Shift. ICML 2023: 39584-39622 - Hao He, Yuan Yuan, Ying-Cong Chen, Peng Cao, Dina Katabi:
Contactless Oxygen Monitoring with Radio Waves and Gated Transformer. MLHC 2023: 248-265 - Lijie Fan, Dilip Krishnan, Phillip Isola, Dina Katabi, Yonglong Tian:
Improving CLIP Training with Language Rewrites. NeurIPS 2023 - Kaiwen Zha, Peng Cao, Jeany Son, Yuzhe Yang, Dina Katabi:
Rank-N-Contrast: Learning Continuous Representations for Regression. NeurIPS 2023 - Tianhong Li, Lijie Fan, Yuan Yuan, Hao He, Yonglong Tian, Rogério Feris, Piotr Indyk, Dina Katabi:
Addressing Feature Suppression in Unsupervised Visual Representations. WACV 2023: 1411-1420 - Yuzhe Yang, Haoran Zhang, Dina Katabi, Marzyeh Ghassemi:
Change is Hard: A Closer Look at Subpopulation Shift. CoRR abs/2302.12254 (2023) - Tianhong Li, Vibhaalakshmi Sivaraman, Lijie Fan, Mohammad Alizadeh, Dina Katabi:
Reparo: Loss-Resilient Generative Codec for Video Conferencing. CoRR abs/2305.14135 (2023) - Lijie Fan, Dilip Krishnan, Phillip Isola, Dina Katabi, Yonglong Tian:
Improving CLIP Training with Language Rewrites. CoRR abs/2305.20088 (2023) - Yeonghwan Song, Seokwoo Jang, Dina Katabi, Jeany Son:
Unsupervised Object Localization with Representer Point Selection. CoRR abs/2309.04172 (2023) - Tianhong Li, Sangnie Bhardwaj, Yonglong Tian, Han Zhang, Jarred Barber, Dina Katabi, Guillaume Lajoie, Huiwen Chang, Dilip Krishnan:
Leveraging Unpaired Data for Vision-Language Generative Models via Cycle Consistency. CoRR abs/2310.03734 (2023) - Tianhong Li, Dina Katabi, Kaiming He:
Self-conditioned Image Generation via Generating Representations. CoRR abs/2312.03701 (2023) - Lijie Fan, Kaifeng Chen, Dilip Krishnan, Dina Katabi, Phillip Isola, Yonglong Tian:
Scaling Laws of Synthetic Images for Model Training ... for Now. CoRR abs/2312.04567 (2023) - Yuzhe Yang, Haoran Zhang, Judy W. Gichoya, Dina Katabi, Marzyeh Ghassemi:
The Limits of Fair Medical Imaging AI In The Wild. CoRR abs/2312.10083 (2023) - Yonglong Tian, Lijie Fan, Kaifeng Chen, Dina Katabi, Dilip Krishnan, Phillip Isola:
Learning Vision from Models Rivals Learning Vision from Data. CoRR abs/2312.17742 (2023) - 2022
- Shichao Yue, Hao He, Peng Cao, Kaiwen Zha, Masayuki Koizumi, Dina Katabi:
CornerRadar: RF-Based Indoor Localization Around Corners. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(1): 34:1-34:24 (2022) - Sivan Harary, Eli Schwartz, Assaf Arbelle, Peter W. J. Staar, Shady Abu-Hussein, Elad Amrani, Roei Herzig, Amit Alfassy, Raja Giryes, Hilde Kuehne, Dina Katabi, Kate Saenko, Rogério Feris, Leonid Karlinsky:
Unsupervised Domain Generalization by Learning a Bridge Across Domains. CVPR 2022: 5270-5280 - Tianhong Li, Peng Cao, Yuan Yuan, Lijie Fan, Yuzhe Yang, Rogério Feris, Piotr Indyk, Dina Katabi:
Targeted Supervised Contrastive Learning for Long-Tailed Recognition. CVPR 2022: 6908-6918 - Yuzhe Yang, Hao Wang, Dina Katabi:
On Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization and Beyond. ECCV (20) 2022: 57-75 - Tianhong Li, Lijie Fan, Yuan Yuan, Dina Katabi:
Unsupervised Learning for Human Sensing Using Radio Signals. WACV 2022: 1091-1100 - Hao He, Kaiwen Zha, Dina Katabi:
Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning. CoRR abs/2202.11202 (2022)
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