42 citations · 127 across the 12 of their papers we have counts for
Showing 2019Show all
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cs.CV2019
Knowledge Graph Transfer Network for Few-Shot Recognition
Riquan Chen, Tianshui Chen, Xiaolu Hui +3
Few-shot learning aims to learn novel categories from very few samples given some base categories with sufficient training samples. The main challenge of this task is the novel cat…
cs.CV2019
Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition
Tianshui Chen, Muxin Xu, Xiaolu Hui +2
Recognizing multiple labels of images is a practical and challenging task, and significant progress has been made by searching semantic-aware regions and modeling label dependency.…
cs.CV2019★ 36 cited
Instance-Aware Representation Learning and Association for Online Multi-Person Tracking
Hefeng Wu, Yafei Hu, Keze Wang +3
Multi-Person Tracking (MPT) is often addressed within the detection-to-association paradigm. In such approaches, human detections are first extracted in every frame and person traj…