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Residual Attention Network for Image Classification
In this work, we propose Residual Attention Network, a convolutional neural network using attention mechanism which can incorporate with state-of-art feed forward network architecture in anExpand
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Deep Region and Multi-label Learning for Facial Action Unit Detection
Region learning (RL) and multi-label learning (ML) have recently attracted increasing attentions in the field of facial Action Unit (AU) detection. Knowing that AUs are active on sparse facialExpand
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Ecological Degradation in Protected Areas: The Case of Wolong Nature Reserve for Giant Pandas
It is generally perceived that biodiversity is better protected from human activities after an area is designated as a protected area. However, we found that this common perception was not true inExpand
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Randomized, Double-Blind, Placebo-Controlled Phase III Trial of Apatinib in Patients With Chemotherapy-Refractory Advanced or Metastatic Adenocarcinoma of the Stomach or Gastroesophageal Junction.
  • Jin Li, S. Qin, +31 authors H. Yu
  • Medicine
  • Journal of clinical oncology : official journal…
  • 27 September 2016
PURPOSE There is currently no standard treatment strategy for patients with advanced metastatic gastric cancer experiencing progression after two or more lines of chemotherapy. We assessed theExpand
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Study of a bus-based disruption-tolerant network: mobility modeling and impact on routing
We study traces taken from UMass DieselNet, a Disruption-Tolerant Network consisting of WiFi nodes attached to buses. As buses travel their routes, they encounter other buses and in some cases areExpand
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Joint patch and multi-label learning for facial action unit detection
The face is one of the most powerful channel of nonverbal communication. The most commonly used taxonomy to describe facial behaviour is the Facial Action Coding System (FACS). FACS segments theExpand
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Sketch-based image retrieval via Siamese convolutional neural network
Sketch-based image retrieval (SBIR) is a challenging task due to the ambiguity inherent in sketches when compared with photos. In this paper, we propose a novel convolutional neural network based onExpand
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Chromaticity-based separation of reflection components in a single image
The separation of diffuse and specular reflection components, or equivalently specularity removal, is required in the fields of computer vision, object recognition and image synthesis. This paperExpand
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Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-identification
Typical person re-identification (ReID) methods usually describe each pedestrian with a single feature vector and match them in a task-specific metric space. However, the methods based on a singleExpand
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TACT: A Transfer Actor-Critic Learning Framework for Energy Saving in Cellular Radio Access Networks
Recent works have validated the possibility of improving energy efficiency in radio access networks (RANs), achieved by dynamically turning on/off some base stations (BSs). In this paper, we extendExpand
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