A Survey on Deep Learning for Polyp Segmentation: Techniques, Challenges and Future Trends

Kavli Affiliate: Yi Zhou | First 5 Authors: Jiaxin Mei, Tao Zhou, Kaiwen Huang, Yizhe Zhang, Yi Zhou | Summary: Early detection and assessment of polyps play a crucial role in the prevention and treatment of colorectal cancer (CRC). Polyp segmentation provides an effective solution to assist clinicians in accurately locating and segmenting polyp regions. […]


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Event-based Visual Inertial Velometer

Kavli Affiliate: Yi Zhou | First 5 Authors: Xiuyuan Lu, Yi Zhou, Shaojie Shen, , | Summary: Neuromorphic event-based cameras are bio-inspired visual sensors with asynchronous pixels and extremely high temporal resolution. Such favorable properties make them an excellent choice for solving state estimation tasks under aggressive ego motion. However, failures of camera pose tracking […]


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Event-based Visual Inertial Velometer

Kavli Affiliate: Yi Zhou | First 5 Authors: Xiuyuan Lu, Yi Zhou, Junkai Niu, Sheng Zhong, Shaojie Shen | Summary: Neuromorphic event-based cameras are bio-inspired visual sensors with asynchronous pixels and extremely high temporal resolution. Such favorable properties make them an excellent choice for solving state estimation tasks under aggressive ego motion. However, failures of […]


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Impact of Indoor Mobility Behavior on the Respiratory Infectious Diseases Transmission Trends

Kavli Affiliate: Zheng Zhu | First 5 Authors: Ziwei Cui, Ming Cai, Zheng Zhu, Gongbo Chen, Yao Xiao | Summary: The importance of indoor human mobility in the transmission dynamics of respiratory infectious diseases has been acknowledged. Previous studies have predominantly addressed a single type of mobility behavior such as queueing and a series of […]


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A Geometric Tension Dynamics Model of Epithelial Convergent Extension

Kavli Affiliate: Boris I. Shraiman | First 5 Authors: Nikolas H. Claussen, Fridtjof Brauns, Boris I. Shraiman, , | Summary: Epithelial tissue elongation by convergent extension is a key motif of animal morphogenesis. On a coarse scale, cell motion resembles laminar fluid flow; yet in contrast to a fluid, epithelial cells adhere to each other […]


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A Geometric Tension Dynamics Model of Epithelial Convergent Extension

Kavli Affiliate: Boris I. Shraiman | First 5 Authors: Nikolas H. Claussen, Fridtjof Brauns, Boris I. Shraiman, , | Summary: Epithelial tissue elongation by convergent extension is a key motif of animal morphogenesis. On a coarse scale, cell motion resembles laminar fluid flow; yet in contrast to a fluid, epithelial cells adhere to each other […]


Continue.. A Geometric Tension Dynamics Model of Epithelial Convergent Extension

A Geometric Tension Dynamics Model of Epithelial Convergent Extension

Kavli Affiliate: Boris I. Shraiman | First 5 Authors: Nikolas H. Claussen, Fridtjof Brauns, Boris I. Shraiman, , | Summary: Convergent extension of epithelial tissue is a key motif of animal morphogenesis. On a coarse scale, cell motion resembles laminar fluid flow; yet in contrast to a fluid, epithelial cells adhere to each other and […]


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VILLS: Video-Image Learning to Learn Semantics for Person Re-Identification

Kavli Affiliate: Cheng Peng | First 5 Authors: Siyuan Huang, Ram Prabhakar, Yuxiang Guo, Rama Chellappa, Cheng Peng | Summary: Person Re-identification is a research area with significant real world applications. Despite recent progress, existing methods face challenges in robust re-identification in the wild, e.g., by focusing only on a particular modality and on unreliable […]


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Self-Supervised Learning of Whole and Component-Based Semantic Representations for Person Re-Identification

Kavli Affiliate: Cheng Peng | First 5 Authors: Siyuan Huang, Yifan Zhou, Ram Prabhakar, Xijun Liu, Yuxiang Guo | Summary: Person Re-Identification (ReID) is a challenging problem, focusing on identifying individuals across diverse settings. However, previous ReID methods primarily concentrated on a single domain or modality, such as Clothes-Changing ReID (CC-ReID) and video ReID. Real-world […]


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VILLS — Video-Image Learning to Learn Semantics for Person Re-Identification

Kavli Affiliate: Cheng Peng | First 5 Authors: Siyuan Huang, Ram Prabhakar, Yuxiang Guo, Rama Chellappa, Cheng Peng | Summary: Person Re-identification is a research area with significant real world applications. Despite recent progress, existing methods face challenges in robust re-identification in the wild, e.g., by focusing only on a particular modality and on unreliable […]


Continue.. VILLS — Video-Image Learning to Learn Semantics for Person Re-Identification