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Subhransu Maji

University of Massachusetts Amherst
University of California, Berkeley

174

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13211

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On Measuring and Controlling the Spectral Bias of the Deep Image Prior.

2022 Int. J. Comput. Vis.
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Improving Few-Shot Part Segmentation using Coarse Supervision.

2022 CoRR
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Leveraging Textures in Zero-shot Understanding of Fine-Grained Domains.

2022 CoRR
- Chenyun Wu
- Subhransu Maji
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Supervised Momentum Contrastive Learning for Few-Shot Classification

2021 arXiv: Computer Vision and Pattern Recognition
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A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification

2021 arXiv: Computer Vision and Pattern Recognition
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StarcNet: Machine Learning for Star Cluster Identification

2021 The Astrophysical Journal
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A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification

2021 CVPR | Computer Vision and Pattern Recognition
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GANORCON: Are Generative Models Useful for Few-shot Segmentation?.

2021 arXiv: Computer Vision and Pattern Recognition
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Shot in the Dark: Few-Shot Learning with No Base-Class Labels

2021 CVPR | Computer Vision and Pattern Recognition
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Exponential Moving Average Normalization for Self-Supervised and Semi-Supervised Learning.

2021 CVPR | Computer Vision and Pattern Recognition
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