Zobrazeno 1 - 10
of 105
pro vyhledávání: '"Ai, Haizhou"'
Learning to predict multiple attributes of a pedestrian is a multi-task learning problem. To share feature representation between two individual task networks, conventional methods like Cross-Stitch and Sluice network learn a linear combination of fe
Externí odkaz:
http://arxiv.org/abs/2004.03164
Estimating 3D poses of multiple humans in real-time is a classic but still challenging task in computer vision. Its major difficulty lies in the ambiguity in cross-view association of 2D poses and the huge state space when there are multiple people i
Externí odkaz:
http://arxiv.org/abs/2003.03972
Autor:
Zhuang, Zijie, Wei, Longhui, Xie, Lingxi, Zhang, Tianyu, Zhang, Hengheng, Wu, Haozhe, Ai, Haizhou, Tian, Qi
The fundamental difficulty in person re-identification (ReID) lies in learning the correspondence among individual cameras. It strongly demands costly inter-camera annotations, yet the trained models are not guaranteed to transfer well to previously
Externí odkaz:
http://arxiv.org/abs/2001.08680
Publikováno v:
2019 IEEE International Conference on Image Processing (ICIP), pp. 1645-1649
It remains very challenging to build a pedestrian detection system for real world applications, which demand for both accuracy and speed. This work presents a novel hierarchical knowledge distillation framework to learn a lightweight pedestrian detec
Externí odkaz:
http://arxiv.org/abs/1909.09325
Images with different resolutions are ubiquitous in public person re-identification (ReID) datasets and real-world scenes, it is thus crucial for a person ReID model to handle the image resolution variations for improving its generalization ability.
Externí odkaz:
http://arxiv.org/abs/1810.10221
Online multi-object tracking is a fundamental problem in time-critical video analysis applications. A major challenge in the popular tracking-by-detection framework is how to associate unreliable detection results with existing tracks. In this paper,
Externí odkaz:
http://arxiv.org/abs/1809.04427
Publikováno v:
In Computer Vision and Image Understanding March 2016 144:144-154
Autor:
Cao, Chong, Ai, Haizhou
Publikováno v:
In Signal Processing: Image Communication November 2015 39 Part C:517-526
Publikováno v:
In Image and Vision Computing May 2012 30(4-5):292-305
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