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05/23/2023
Mitigating Test-Time Bias for Fair Image Retrieval
We address the challenge of generating fair and unbiased image retrieval...
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03/10/2023
SemARFlow: Injecting Semantics into Unsupervised Optical Flow Estimation for Autonomous Driving
Unsupervised optical flow estimation is especially hard near occlusions ...
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08/03/2022
Unsupervised Flow Refinement near Motion Boundaries
Unsupervised optical flow estimators based on deep learning have attract...
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07/08/2022
Cross-Attention Transformer for Video Interpolation
We propose TAIN (Transformers and Attention for video INterpolation), a ...
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03/09/2022
Optical Flow Training under Limited Label Budget via Active Learning
Supervised training of optical flow predictors generally yields better a...
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01/20/2022
Adversarial Jamming for a More Effective Constellation Attack
The common jamming mode in wireless communication is band barrage jammin...
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06/30/2020
Guarantees for Tuning the Step Size using a Learning-to-Learn Approach
Learning-to-learn (using optimization algorithms to learn a new optimize...
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05/21/2019
Spatially Constrained Spectral Clustering Algorithms for Region Delineation
Regionalization is the task of dividing up a landscape into homogeneous ...
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12/31/2017