no code implementations • 13 Jan 2020 • Xin-Yu Zhang, Dong Gong, Jiewei Cao, Chunhua Shen
Due to the lack of supervision in the target domain, it is crucial to identify the underlying similarity-and-dissimilarity relationships among the unlabelled samples in the target domain.
1 code implementation • 13 Sep 2019 • Xin-Yu Zhang, Rufeng Zhang, Jiewei Cao, Dong Gong, Mingyu You, Chunhua Shen
Finally, we aggregate the global appearance and part features to improve the feature performance further.
2 code implementations • CVPR 2020 • Bo Chen, Alvaro Parra, Jiewei Cao, Nan Li, Tat-Jun Chin
To seamlessly combine deep learning and geometric vision, it is vital to perform learning and geometric optimization end-to-end.
Ranked #1 on 6D Pose Estimation using RGB on LineMOD (Accuracy metric)
1 code implementation • 30 Aug 2019 • Bo Chen, Jiewei Cao, Alvaro Parra, Tat-Jun Chin
We propose an approach to estimate the 6DOF pose of a satellite, relative to a canonical pose, from a single image.
1 code implementation • ICCV 2019 • Xin-Yu Zhang, Jiewei Cao, Chunhua Shen, Mingyu You
In this work, we develop a self-training method with progressive augmentation framework (PAST) to promote the model performance progressively on the target dataset.
Ranked #11 on Unsupervised Domain Adaptation on Market to Duke
no code implementations • 29 Jul 2019 • Damien Teney, Peng Wang, Jiewei Cao, Lingqiao Liu, Chunhua Shen, Anton Van Den Hengel
One of the primary challenges faced by deep learning is the degree to which current methods exploit superficial statistics and dataset bias, rather than learning to generalise over the specific representations they have experienced.
no code implementations • CVPR 2019 • Peng Wang, Qi Wu, Jiewei Cao, Chunhua Shen, Lianli Gao, Anton Van Den Hengel
Being composed of node attention component and edge attention component, the proposed graph attention mechanism explicitly represents inter-object relationships, and properties with a flexibility and power impossible with competing approaches.
no code implementations • ICCV 2017 • Chao Li, Jiewei Cao, Zi Huang, Lei Zhu, Heng Tao Shen
In this paper, we propose a novel approach to automatically maximize the utility of weak semantic annotations (formalized as the semantic relevance of video shots to the target event) to facilitate video event classification.
no code implementations • 22 Jun 2016 • Jiewei Cao, Lingqiao Liu, Peng Wang, Zi Huang, Chunhua Shen, Heng Tao Shen
Instance retrieval requires one to search for images that contain a particular object within a large corpus.