CVPR 2019 — 2 Technical Articles

Oct 31, 2019 · Artificial Intelligence

Meituan Unmanned Delivery Team Wins CVPR 2019 Obstacle Trajectory Prediction Challenge – Methodology Overview

Meituan’s unmanned‑delivery team won the CVPR 2019 Trajectory Prediction Challenge by using a multi‑class independent LSTM encoder‑decoder with Gaussian‑noise augmentation, discarding size and noisy orientation data, applying rotation and interpolation augmentations, and achieving a weighted ADE of 1.3425, surpassing StarNet and TrafficPredict, with plans to explore interaction‑based and graph‑neural‑network models.

CVPR 2019LSTMMeituan

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Meituan Unmanned Delivery Team Wins CVPR 2019 Obstacle Trajectory Prediction Challenge – Methodology Overview

Suning Technology

Jul 24, 2019 · Artificial Intelligence

Multi‑Scale Body‑Part Masks Revolutionize Person Re‑Identification at CVPR 2019

At CVPR 2019 in Long Beach, Suning’s AI team presented a breakthrough paper on multi‑scale body‑part mask guided attention for person re‑identification, detailing the conference’s selectivity, the challenges of re‑identification, and how their deep‑learning approach achieves state‑of‑the‑art performance.

Attention MechanismCVPR 2019deep learning

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Multi‑Scale Body‑Part Masks Revolutionize Person Re‑Identification at CVPR 2019