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05/24/2023
Deep Equivariant Hyperspheres
This paper presents an approach to learning nD features equivariant unde...
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01/25/2023
Flow-guided Semi-supervised Video Object Segmentation
We propose an optical flow-guided approach for semi-supervised video obj...
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11/26/2022
TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Classification
Rotation invariance is an important requirement for the analysis of 3D p...
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03/25/2020
Learning What to Learn for Video Object Segmentation
Video object segmentation (VOS) is a highly challenging problem, since t...
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03/18/2020
Progress Extrapolating Algorithmic Learning to Arbitrary Sequence Lengths
Recent neural network models for algorithmic tasks have led to significa...
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02/27/2020
Learning Fast and Robust Target Models for Video Object Segmentation
Video object segmentation (VOS) is a highly challenging problem since th...
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04/18/2019
Discriminative Online Learning for Fast Video Object Segmentation
We address the highly challenging problem of video object segmentation. ...
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08/12/2016