Fuchen Long, Ting Yao, Zhaofan Qiu, Xinmei Tian et al.
Temporally localizing actions in a video is a fundamental challenge in video understanding. Most existing approaches have often drawn inspiration from image object detection and extended the advances, e.g., SSD and Faster R-CNN, to produce temporal locations of an action in a 1D sequence. Neverthele...
Qi Cai, Yingwei Pan, Chong‐Wah Ngo, Xinmei Tian et al.
Rendering synthetic data (e.g., 3D CAD-rendered images) to generate annotations for learning deep models in vision tasks has attracted increasing attention in recent years. However, simply applying the models learnt on synthetic images may lead to high generalization error on real images due to doma...
Zhaofan Qiu, Ting Yao, Chong‐Wah Ngo, Xinmei Tian et al.
Convolutional Neural Networks (CNN) have been regarded as a powerful class of models for visual recognition problems. Nevertheless, the convolutional filters in these networks are local operations while ignoring the large-range dependency. Such drawback becomes even worse particularly for video reco...
Chang Chen, Zhiwei Xiong, Xinmei Tian, Zheng-Jun Zha et al.
Existing methods for single image super-resolution (SR) are typically evaluated with synthetic degradation models such as bicubic or Gaussian downsampling. In this paper, we investigate SR from the perspective of camera lenses, named as CameraSR, which aims to alleviate the intrinsic tradeoff betwee...
Chang Chen, Zhiwei Xiong, Xinmei Tian, Zheng-Jun Zha et al.
Existing methods for single image super-resolution (SR) are typically evaluated with synthetic degradation models such as bicubic or Gaussian downsampling. In this paper, we investigate SR from the perspective of camera lenses, named as CameraSR, which aims to alleviate the intrinsic tradeoff betwee...
Yonggang Zhang, Ya Li, Tongliang Liu, Xinmei Tian
We study the problem of constructing black-box adversarial attacks, where no model information is revealed except for the feedback knowledge of the given inputs. To obtain sufficient knowledge for crafting adversarial examples, previous methods query the target model with inputs that are perturbed w...
Feiran Wei, Na Liu, Min Zhang, Yanhang Yin et al.
OBJECTIVE: To evaluate the prognostic ability of the haemoglobin-to-red blood cell distribution width ratio in predicting in-hospital mortality among elderly patients diagnosed with acute ischaemic stroke. DESIGN: Retrospective, longitudinal, observational study using a hospital-based database. SETT...
Fuchen Long, Ting Yao, Zhaofan Qiu, Xinmei Tian et al.
Temporally localizing actions in a video is a fundamental challenge in video understanding. Most existing approaches have often drawn inspiration from image object detection and extended the advances, e.g., SSD and Faster R-CNN, to produce temporal locations of an action in a 1D sequence. Neverthele...