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Learning to Find Good Correspondences

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Learning to Find Good Correspondences

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Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems

LiftPose3D, a deep learning-based approach for transforming two-dimensional to three-dimensional poses in laboratory animals

Pretraining boosts out-of-domain robustness for pose estimation

Efficient Depth-based Deep Learning Methods for Multi-Party Pose Estimation

Joint Human Pose Estimation and Stereo 3D Localization

ESSOP: Efficient and Scalable Stochastic Outer Product Architecture for Deep Learning

Learning stereo reconstruction with deep neural networks

Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention

Supplementary Material - AL2: Progressive Activation Loss for Learning General Representations in Classification Neural Networks

Evaluating and Interpreting Deep Convolutional Neural Networks via Non-negative Matrix Factorization