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Pedestrian Intention Prediction: A Convolutional Bottom-Up Multi-Task Approach

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Pedestrian Intention Prediction: A Convolutional Bottom-Up Multi-Task Approach

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Unsupervised Stereo Matching Using Confidential Correspondence Consistency

Pedestrian Intention Prediction: A Multi-task Perspective

Crowding and the Architecture of the Visual System

Learning stereo reconstruction with deep neural networks

A geometry-inspired decision-based attack

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

A 256×256 45/65nm 3D-stacked SPAD-based direct TOF image sensor for LiDAR applications with optical polar modulation for up to 18.6dB interference suppression

Event-based Vision meets Deep Learning on Steering Prediction for Self-driving Cars

Learning embeddings: efficient algorithms and applications

Learning embeddings: efficient algorithms and applications

A geometry-inspired decision-based attack

Crowding and the Architecture of the Visual System

Learning stereo reconstruction with deep neural networks

Unsupervised Stereo Matching Using Confidential Correspondence Consistency

Pedestrian Intention Prediction: A Multi-task Perspective

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

A 256×256 45/65nm 3D-stacked SPAD-based direct TOF image sensor for LiDAR applications with optical polar modulation for up to 18.6dB interference suppression

Learning embeddings: efficient algorithms and applications

Learning embeddings: efficient algorithms and applications

Event-based Vision meets Deep Learning on Steering Prediction for Self-driving Cars