11 citations · 12 across the 4 of their papers we have counts for
5 papers · 1 filter
LID 2020: The Learning from Imperfect Data Challenge Results
Yunchao Wei, Shuai Zheng, Ming-Ming Cheng +32
Learning from imperfect data becomes an issue in many industrial applications after the research community has made profound progress in supervised learning from perfectly annotate…
Devil in the Details: Towards Accurate Single and Multiple Human Parsing
Tao Ruan, Ting Liu, Zilong Huang +4
Human parsing has received considerable interest due to its wide application potentials. Nevertheless, it is still unclear how to develop an accurate human parsing system in an eff…
A New Evaluation Protocol and Benchmarking Results for Extendable Cross-media Retrieval
Ruoyu Liu, Yao Zhao, Liang Zheng +2
This paper proposes a new evaluation protocol for cross-media retrieval which better fits the real-word applications. Both image-text and text-image retrieval modes are considered.…
Modality-dependent Cross-media Retrieval
Yunchao Wei, Yao Zhao, Zhenfeng Zhu +4
In this paper, we investigate the cross-media retrieval between images and text, i.e., using image to search text (I2T) and using text to search images (T2I). Existing cross-media…
Kernel Reconstruction ICA for Sparse Representation
Yanhui Xiao, Zhenfeng Zhu, Yao Zhao
Independent Component Analysis (ICA) is an effective unsupervised tool to learn statistically independent representation. However, ICA is not only sensitive to whitening but also d…