Thermomagnetic Anomalies by Magnonic Criticality in Ultracold Atomic Transport

Kavli Affiliate: Mamoru Matsuo | First 5 Authors: Yuta Sekino, Yuya Ominato, Hiroyuki Tajima, Shun Uchino, Mamoru Matsuo | Summary: We investigate thermomagnetic transport in an ultracold atomic system with two ferromagnets linked via a magnetic quantum point contact. Using nonequilibrium Green’s function approach, we show a divergence in spin conductance and a slowing down […]


Continue.. Thermomagnetic Anomalies by Magnonic Criticality in Ultracold Atomic Transport

A simple sensitivity analysis method for unmeasured confounders via linear programming with estimating equation constraints

Kavli Affiliate: Yi Zhou | First 5 Authors: Chengyao Tang, Yi Zhou, Ao Huang, Satoshi Hattori, | Summary: In estimating the average treatment effect in observational studies, the influence of confounders should be appropriately addressed. To this end, the propensity score is widely used. If the propensity scores are known for all the subjects, bias […]


Continue.. A simple sensitivity analysis method for unmeasured confounders via linear programming with estimating equation constraints

OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline

Kavli Affiliate: Zheng Zhu | First 5 Authors: Xianda Guo, Juntao Lu, Chenming Zhang, Yiqi Wang, Yiqun Duan | Summary: Stereo matching, a pivotal technique in computer vision, plays a crucial role in robotics, autonomous navigation, and augmented reality. Despite the development of numerous impressive methods in recent years, replicating their results and determining the […]


Continue.. OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline

OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline

Kavli Affiliate: Zheng Zhu | First 5 Authors: Xianda Guo, Juntao Lu, Chenming Zhang, Yiqi Wang, Yiqun Duan | Summary: Stereo matching, a pivotal technique in computer vision, plays a crucial role in robotics, autonomous navigation, and augmented reality. Despite the development of numerous impressive methods in recent years, replicating their results and determining the […]


Continue.. OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline

OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline

Kavli Affiliate: Zheng Zhu | First 5 Authors: Xianda Guo, Juntao Lu, Chenming Zhang, Yiqi Wang, Yiqun Duan | Summary: Stereo matching aims to estimate the disparity between matching pixels in a stereo image pair, which is of great importance to robotics, autonomous driving, and other computer vision tasks. Despite the development of numerous impressive […]


Continue.. OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline

OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline

Kavli Affiliate: Zheng Zhu | First 5 Authors: Xianda Guo, Juntao Lu, Chenming Zhang, Yiqi Wang, Yiqun Duan | Summary: Stereo matching aims to estimate the disparity between matching pixels in a stereo image pair, which is of great importance to robotics, autonomous driving, and other computer vision tasks. Despite the development of numerous impressive […]


Continue.. OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline

OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline

Kavli Affiliate: Zheng Zhu | First 5 Authors: Xianda Guo, Chenming Zhang, Juntao Lu, Yiqi Wang, Yiqun Duan | Summary: Stereo matching aims to estimate the disparity between matching pixels in a stereo image pair, which is important to robotics, autonomous driving, and other computer vision tasks. Despite the development of numerous impressive methods in […]


Continue.. OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline

Segment Anything Model-guided Collaborative Learning Network for Scribble-supervised Polyp Segmentation

Kavli Affiliate: Yi Zhou | First 5 Authors: Yiming Zhao, Tao Zhou, Yunqi Gu, Yi Zhou, Yizhe Zhang | Summary: Polyp segmentation plays a vital role in accurately locating polyps at an early stage, which holds significant clinical importance for the prevention of colorectal cancer. Various polyp segmentation methods have been developed using fully-supervised deep […]


Continue.. Segment Anything Model-guided Collaborative Learning Network for Scribble-supervised Polyp Segmentation

Nanoscale confinement and control of excitonic complexes in a monolayer WSe2

Kavli Affiliate: Cheng Peng | First 5 Authors: Hyowon Moon, Lukas Mennel, Chitraleema Chakraborty, Cheng Peng, Jawaher Almutlaq | Summary: Nanoscale control and observation of photophysical processes in semiconductors is critical for basic understanding and applications from optoelectronics to quantum information processing. In particular, there are open questions and opportunities in controlling excitonic complexes in […]


Continue.. Nanoscale confinement and control of excitonic complexes in a monolayer WSe2

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. […]


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