The Experts below are selected from a list of 138 Experts worldwide ranked by ideXlab platform
Gillian Penrice - One of the best experts on this subject based on the ideXlab platform.
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A pragmatic harm reduction approach to manage a large outbreak of wound botulism in people who inject drugs, Scotland 2015
Harm Reduction Journal, 2018Co-Authors: Kirsten M. A. Trayner, Amanda Weir, Andrew Mcauley, Gauri Godbole, Corinne Amar, Kathie Grant, Gillian PenriceAbstract:Background People who inject drugs (PWID) are at an increased risk of wound botulism, a potentially fatal acute paralytic illness. During the first 6 months of 2015, a large outbreak of wound botulism was confirmed among PWID in Scotland, which resulted in the largest outbreak in Europe to date. Methods A multidisciplinary Incident Management Team (IMT) was convened to conduct an outbreak investigation, which consisted of enhanced surveillance of cases in order to characterise risk factors and identify potential sources of infection. Results Between the 24th of December 2014 and the 30th of May 2015, a total of 40 cases were reported across six regions in Scotland. The majority of the cases were male, over 30 and residents in Glasgow. All epidemiological evidence suggested a contaminated batch of heroin or Cutting Agent as the source of the outbreak. There are significant challenges associated with managing an outbreak among PWID, given their vulnerability and complex addiction needs. Thus, a pragmatic harm reduction approach was adopted which focused on reducing the risk of infection for those who continued to inject and limited consequences for those who got infected. Conclusions The management of this outbreak highlighted the importance and need for pragmatic harm reduction interventions which support the addiction needs of PWID during an outbreak of spore-forming bacteria. Given the scale of this outbreak, the experimental learning gained during this and similar outbreaks involving spore-forming bacteria in the UK was collated into national guidance to improve the management and investigation of future outbreaks among PWID.
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A pragmatic harm reduction approach to manage a large outbreak of wound botulism in people who inject drugs, Scotland 2015.
Harm Reduction Journal, 2018Co-Authors: Kirsten M. A. Trayner, Amanda Weir, Andrew Mcauley, Gauri Godbole, Corinne Amar, Kathie Grant, Gillian PenriceAbstract:People who inject drugs (PWID) are at an increased risk of wound botulism, a potentially fatal acute paralytic illness. During the first 6 months of 2015, a large outbreak of wound botulism was confirmed among PWID in Scotland, which resulted in the largest outbreak in Europe to date. A multidisciplinary Incident Management Team (IMT) was convened to conduct an outbreak investigation, which consisted of enhanced surveillance of cases in order to characterise risk factors and identify potential sources of infection. Between the 24th of December 2014 and the 30th of May 2015, a total of 40 cases were reported across six regions in Scotland. The majority of the cases were male, over 30 and residents in Glasgow. All epidemiological evidence suggested a contaminated batch of heroin or Cutting Agent as the source of the outbreak. There are significant challenges associated with managing an outbreak among PWID, given their vulnerability and complex addiction needs. Thus, a pragmatic harm reduction approach was adopted which focused on reducing the risk of infection for those who continued to inject and limited consequences for those who got infected. The management of this outbreak highlighted the importance and need for pragmatic harm reduction interventions which support the addiction needs of PWID during an outbreak of spore-forming bacteria. Given the scale of this outbreak, the experimental learning gained during this and similar outbreaks involving spore-forming bacteria in the UK was collated into national guidance to improve the management and investigation of future outbreaks among PWID.
Xiaodan Liang - One of the best experts on this subject based on the ideXlab platform.
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Reinforcement Cutting-Agent Learning for Video Object Segmentation
2018 IEEE CVF Conference on Computer Vision and Pattern Recognition, 2018Co-Authors: Le Yang, Dingwen Zhang, Xiaojun Chang, Xiaodan LiangAbstract:Video object segmentation is a fundamental yet challenging task in computer vision community. In this paper, we formulate this problem as a Markov Decision Process, where Agents are learned to segment object regions under a deep reinforcement learning framework. Essentially, learning Agents for segmentation is nontrivial as segmentation is a nearly continuous decision-making process, where the number of the involved Agents (pixels or superpixels) and action steps from the seed (super)pixels to the whole object mask might be incredibly huge. To overcome this difficulty, this paper simplifies the learning of segmentation Agents to the learning of a Cutting-Agent, which only has a limited number of action units and can converge in just a few action steps. The basic assumption is that object segmentation mainly relies on the interaction between object regions and their context. Thus, with an optimal object (box) region and context (box) region, we can obtain the desirable segmentation mask through further inference. Based on this assumption, we establish a novel reinforcement Cutting-Agent learning framework, where the Cutting-Agent consists of a Cutting-policy network and a Cutting-execution network. The former learns policies for deciding optimal object-context box pair, while the latter executes the Cutting function based on the inferred object-context box pair. With the collaborative interaction between the two networks, our method can achieve the outperforming VOS performance on two public benchmarks, which demonstrates the rationality of our assumption as well as the effectiveness of the proposed learning framework.
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CVPR - Reinforcement Cutting-Agent Learning for Video Object Segmentation
2018 IEEE CVF Conference on Computer Vision and Pattern Recognition, 2018Co-Authors: Le Yang, Dingwen Zhang, Xiaojun Chang, Xiaodan LiangAbstract:Video object segmentation is a fundamental yet challenging task in computer vision community. In this paper, we formulate this problem as a Markov Decision Process, where Agents are learned to segment object regions under a deep reinforcement learning framework. Essentially, learning Agents for segmentation is nontrivial as segmentation is a nearly continuous decision-making process, where the number of the involved Agents (pixels or superpixels) and action steps from the seed (super)pixels to the whole object mask might be incredibly huge. To overcome this difficulty, this paper simplifies the learning of segmentation Agents to the learning of a Cutting-Agent, which only has a limited number of action units and can converge in just a few action steps. The basic assumption is that object segmentation mainly relies on the interaction between object regions and their context. Thus, with an optimal object (box) region and context (box) region, we can obtain the desirable segmentation mask through further inference. Based on this assumption, we establish a novel reinforcement Cutting-Agent learning framework, where the Cutting-Agent consists of a Cutting-policy network and a Cutting-execution network. The former learns policies for deciding optimal object-context box pair, while the latter executes the Cutting function based on the inferred object-context box pair. With the collaborative interaction between the two networks, our method can achieve the outperforming VOS performance on two public benchmarks, which demonstrates the rationality of our assumption as well as the effectiveness of the proposed learning framework.
Kirsten M. A. Trayner - One of the best experts on this subject based on the ideXlab platform.
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A pragmatic harm reduction approach to manage a large outbreak of wound botulism in people who inject drugs, Scotland 2015
Harm Reduction Journal, 2018Co-Authors: Kirsten M. A. Trayner, Amanda Weir, Andrew Mcauley, Gauri Godbole, Corinne Amar, Kathie Grant, Gillian PenriceAbstract:Background People who inject drugs (PWID) are at an increased risk of wound botulism, a potentially fatal acute paralytic illness. During the first 6 months of 2015, a large outbreak of wound botulism was confirmed among PWID in Scotland, which resulted in the largest outbreak in Europe to date. Methods A multidisciplinary Incident Management Team (IMT) was convened to conduct an outbreak investigation, which consisted of enhanced surveillance of cases in order to characterise risk factors and identify potential sources of infection. Results Between the 24th of December 2014 and the 30th of May 2015, a total of 40 cases were reported across six regions in Scotland. The majority of the cases were male, over 30 and residents in Glasgow. All epidemiological evidence suggested a contaminated batch of heroin or Cutting Agent as the source of the outbreak. There are significant challenges associated with managing an outbreak among PWID, given their vulnerability and complex addiction needs. Thus, a pragmatic harm reduction approach was adopted which focused on reducing the risk of infection for those who continued to inject and limited consequences for those who got infected. Conclusions The management of this outbreak highlighted the importance and need for pragmatic harm reduction interventions which support the addiction needs of PWID during an outbreak of spore-forming bacteria. Given the scale of this outbreak, the experimental learning gained during this and similar outbreaks involving spore-forming bacteria in the UK was collated into national guidance to improve the management and investigation of future outbreaks among PWID.
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A pragmatic harm reduction approach to manage a large outbreak of wound botulism in people who inject drugs, Scotland 2015.
Harm Reduction Journal, 2018Co-Authors: Kirsten M. A. Trayner, Amanda Weir, Andrew Mcauley, Gauri Godbole, Corinne Amar, Kathie Grant, Gillian PenriceAbstract:People who inject drugs (PWID) are at an increased risk of wound botulism, a potentially fatal acute paralytic illness. During the first 6 months of 2015, a large outbreak of wound botulism was confirmed among PWID in Scotland, which resulted in the largest outbreak in Europe to date. A multidisciplinary Incident Management Team (IMT) was convened to conduct an outbreak investigation, which consisted of enhanced surveillance of cases in order to characterise risk factors and identify potential sources of infection. Between the 24th of December 2014 and the 30th of May 2015, a total of 40 cases were reported across six regions in Scotland. The majority of the cases were male, over 30 and residents in Glasgow. All epidemiological evidence suggested a contaminated batch of heroin or Cutting Agent as the source of the outbreak. There are significant challenges associated with managing an outbreak among PWID, given their vulnerability and complex addiction needs. Thus, a pragmatic harm reduction approach was adopted which focused on reducing the risk of infection for those who continued to inject and limited consequences for those who got infected. The management of this outbreak highlighted the importance and need for pragmatic harm reduction interventions which support the addiction needs of PWID during an outbreak of spore-forming bacteria. Given the scale of this outbreak, the experimental learning gained during this and similar outbreaks involving spore-forming bacteria in the UK was collated into national guidance to improve the management and investigation of future outbreaks among PWID.
Le Yang - One of the best experts on this subject based on the ideXlab platform.
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Reinforcement Cutting-Agent Learning for Video Object Segmentation
2018 IEEE CVF Conference on Computer Vision and Pattern Recognition, 2018Co-Authors: Le Yang, Dingwen Zhang, Xiaojun Chang, Xiaodan LiangAbstract:Video object segmentation is a fundamental yet challenging task in computer vision community. In this paper, we formulate this problem as a Markov Decision Process, where Agents are learned to segment object regions under a deep reinforcement learning framework. Essentially, learning Agents for segmentation is nontrivial as segmentation is a nearly continuous decision-making process, where the number of the involved Agents (pixels or superpixels) and action steps from the seed (super)pixels to the whole object mask might be incredibly huge. To overcome this difficulty, this paper simplifies the learning of segmentation Agents to the learning of a Cutting-Agent, which only has a limited number of action units and can converge in just a few action steps. The basic assumption is that object segmentation mainly relies on the interaction between object regions and their context. Thus, with an optimal object (box) region and context (box) region, we can obtain the desirable segmentation mask through further inference. Based on this assumption, we establish a novel reinforcement Cutting-Agent learning framework, where the Cutting-Agent consists of a Cutting-policy network and a Cutting-execution network. The former learns policies for deciding optimal object-context box pair, while the latter executes the Cutting function based on the inferred object-context box pair. With the collaborative interaction between the two networks, our method can achieve the outperforming VOS performance on two public benchmarks, which demonstrates the rationality of our assumption as well as the effectiveness of the proposed learning framework.
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CVPR - Reinforcement Cutting-Agent Learning for Video Object Segmentation
2018 IEEE CVF Conference on Computer Vision and Pattern Recognition, 2018Co-Authors: Le Yang, Dingwen Zhang, Xiaojun Chang, Xiaodan LiangAbstract:Video object segmentation is a fundamental yet challenging task in computer vision community. In this paper, we formulate this problem as a Markov Decision Process, where Agents are learned to segment object regions under a deep reinforcement learning framework. Essentially, learning Agents for segmentation is nontrivial as segmentation is a nearly continuous decision-making process, where the number of the involved Agents (pixels or superpixels) and action steps from the seed (super)pixels to the whole object mask might be incredibly huge. To overcome this difficulty, this paper simplifies the learning of segmentation Agents to the learning of a Cutting-Agent, which only has a limited number of action units and can converge in just a few action steps. The basic assumption is that object segmentation mainly relies on the interaction between object regions and their context. Thus, with an optimal object (box) region and context (box) region, we can obtain the desirable segmentation mask through further inference. Based on this assumption, we establish a novel reinforcement Cutting-Agent learning framework, where the Cutting-Agent consists of a Cutting-policy network and a Cutting-execution network. The former learns policies for deciding optimal object-context box pair, while the latter executes the Cutting function based on the inferred object-context box pair. With the collaborative interaction between the two networks, our method can achieve the outperforming VOS performance on two public benchmarks, which demonstrates the rationality of our assumption as well as the effectiveness of the proposed learning framework.
Corinne Amar - One of the best experts on this subject based on the ideXlab platform.
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A pragmatic harm reduction approach to manage a large outbreak of wound botulism in people who inject drugs, Scotland 2015
Harm Reduction Journal, 2018Co-Authors: Kirsten M. A. Trayner, Amanda Weir, Andrew Mcauley, Gauri Godbole, Corinne Amar, Kathie Grant, Gillian PenriceAbstract:Background People who inject drugs (PWID) are at an increased risk of wound botulism, a potentially fatal acute paralytic illness. During the first 6 months of 2015, a large outbreak of wound botulism was confirmed among PWID in Scotland, which resulted in the largest outbreak in Europe to date. Methods A multidisciplinary Incident Management Team (IMT) was convened to conduct an outbreak investigation, which consisted of enhanced surveillance of cases in order to characterise risk factors and identify potential sources of infection. Results Between the 24th of December 2014 and the 30th of May 2015, a total of 40 cases were reported across six regions in Scotland. The majority of the cases were male, over 30 and residents in Glasgow. All epidemiological evidence suggested a contaminated batch of heroin or Cutting Agent as the source of the outbreak. There are significant challenges associated with managing an outbreak among PWID, given their vulnerability and complex addiction needs. Thus, a pragmatic harm reduction approach was adopted which focused on reducing the risk of infection for those who continued to inject and limited consequences for those who got infected. Conclusions The management of this outbreak highlighted the importance and need for pragmatic harm reduction interventions which support the addiction needs of PWID during an outbreak of spore-forming bacteria. Given the scale of this outbreak, the experimental learning gained during this and similar outbreaks involving spore-forming bacteria in the UK was collated into national guidance to improve the management and investigation of future outbreaks among PWID.
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A pragmatic harm reduction approach to manage a large outbreak of wound botulism in people who inject drugs, Scotland 2015.
Harm Reduction Journal, 2018Co-Authors: Kirsten M. A. Trayner, Amanda Weir, Andrew Mcauley, Gauri Godbole, Corinne Amar, Kathie Grant, Gillian PenriceAbstract:People who inject drugs (PWID) are at an increased risk of wound botulism, a potentially fatal acute paralytic illness. During the first 6 months of 2015, a large outbreak of wound botulism was confirmed among PWID in Scotland, which resulted in the largest outbreak in Europe to date. A multidisciplinary Incident Management Team (IMT) was convened to conduct an outbreak investigation, which consisted of enhanced surveillance of cases in order to characterise risk factors and identify potential sources of infection. Between the 24th of December 2014 and the 30th of May 2015, a total of 40 cases were reported across six regions in Scotland. The majority of the cases were male, over 30 and residents in Glasgow. All epidemiological evidence suggested a contaminated batch of heroin or Cutting Agent as the source of the outbreak. There are significant challenges associated with managing an outbreak among PWID, given their vulnerability and complex addiction needs. Thus, a pragmatic harm reduction approach was adopted which focused on reducing the risk of infection for those who continued to inject and limited consequences for those who got infected. The management of this outbreak highlighted the importance and need for pragmatic harm reduction interventions which support the addiction needs of PWID during an outbreak of spore-forming bacteria. Given the scale of this outbreak, the experimental learning gained during this and similar outbreaks involving spore-forming bacteria in the UK was collated into national guidance to improve the management and investigation of future outbreaks among PWID.
