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Rethinking Pose Estimation in Crowds: Overcoming the Detection Information Bottleneck and Ambiguity

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Rethinking Pose Estimation in Crowds: Overcoming the Detection Information Bottleneck and Ambiguity

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Learning Robust Features and Latent Representations for Single View 3D Pose Estimation of Humans and Objects

SIPS: Unsupervised Succinct Interest Points

Eigendecomposition-free Training of Deep Networks with Zero Eigenvalue-based Losses

Mean-Field methods for Structured Deep-Learning in Computer Vision

Real-Time Seamless Single Shot 6D Object Pose Prediction

Real-Time Seamless Single Shot 6D Object Pose Prediction

Wasserstein Distributionally Robust Kalman Filtering

SHAPE: Linear-Time Camera Pose Estimation With Quadratic Error-Decay

Vision-Based Unmanned Aerial Vehicle Detection and Tracking for Sense and Avoid Systems

A Combined Approach Toward Consistent Reconstructions of Indoor Spaces Based on 6D RGB-D Odometry and KinectFusion

Learning Robust Features and Latent Representations for Single View 3D Pose Estimation of Humans and Objects

Real-Time Seamless Single Shot 6D Object Pose Prediction

Wasserstein Distributionally Robust Kalman Filtering

Mean-Field methods for Structured Deep-Learning in Computer Vision

Vision-Based Unmanned Aerial Vehicle Detection and Tracking for Sense and Avoid Systems

SIPS: Unsupervised Succinct Interest Points

Eigendecomposition-free Training of Deep Networks with Zero Eigenvalue-based Losses

Real-Time Seamless Single Shot 6D Object Pose Prediction

SHAPE: Linear-Time Camera Pose Estimation With Quadratic Error-Decay

A Combined Approach Toward Consistent Reconstructions of Indoor Spaces Based on 6D RGB-D Odometry and KinectFusion