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11 papers · 2 filters
Classification is a Strong Baseline for Deep Metric Learning
Andrew Zhai, Hao-Yu Wu
Deep metric learning aims to learn a function mapping image pixels to embedding feature vectors that model the similarity between images. Two major applications of metric learning…
Rethinking Pose in 3D: Multi-stage Refinement and Recovery for Markerless Motion Capture
Denis Tome, Matteo Toso, Lourdes Agapito +1
We propose a CNN-based approach for multi-camera markerless motion capture of the human body. Unlike existing methods that first perform pose estimation on individual cameras and g…
ARBEE: Towards Automated Recognition of Bodily Expression of Emotion In the Wild
Yu Luo, Jianbo Ye, Reginald B. Adams +3
Humans are arguably innately prepared to comprehend others' emotional expressions from subtle body movements. If robots or computers can be empowered with this capability, a number…
Look at Boundary: A Boundary-Aware Face Alignment Algorithm
Wayne Wu, Chen Qian, Shuo Yang +3
We present a novel boundary-aware face alignment algorithm by utilising boundary lines as the geometric structure of a human face to help facial landmark localisation. Unlike the c…
Self-supervised Multi-view Person Association and Its Applications
Minh Vo, Ersin Yumer, Kalyan Sunkavalli +3
Reliable markerless motion tracking of people participating in a complex group activity from multiple moving cameras is challenging due to frequent occlusions, strong viewpoint and…
Optimizing Video Object Detection via a Scale-Time Lattice
Kai Chen, Jiaqi Wang, Shuo Yang +4
High-performance object detection relies on expensive convolutional networks to compute features, often leading to significant challenges in applications, e.g. those that require d…