Zobrazeno 1 - 10
of 455
pro vyhledávání: '"YU, Limin"'
4D millimeter-wave (MMW) radar, which provides both height information and dense point cloud data over 3D MMW radar, has become increasingly popular in 3D object detection. In recent years, radar-vision fusion models have demonstrated performance clo
Externí odkaz:
http://arxiv.org/abs/2409.14751
Autor:
Juyal, Dinkar, Padigela, Harshith, Shah, Chintan, Shenker, Daniel, Harguindeguy, Natalia, Liu, Yi, Martin, Blake, Zhang, Yibo, Nercessian, Michael, Markey, Miles, Finberg, Isaac, Luu, Kelsey, Borders, Daniel, Javed, Syed Ashar, Krause, Emma, Biju, Raymond, Sood, Aashish, Ma, Allen, Nyman, Jackson, Shamshoian, John, Chhor, Guillaume, Sanghavi, Darpan, Thibault, Marc, Yu, Limin, Najdawi, Fedaa, Hipp, Jennifer A., Fahy, Darren, Glass, Benjamin, Walk, Eric, Abel, John, Pokkalla, Harsha, Beck, Andrew H., Grullon, Sean
Pathology is the study of microscopic inspection of tissue, and a pathology diagnosis is often the medical gold standard to diagnose disease. Pathology images provide a unique challenge for computer-vision-based analysis: a single pathology Whole Sli
Externí odkaz:
http://arxiv.org/abs/2405.07905
Semi-supervised semantic segmentation allows model to mine effective supervision from unlabeled data to complement label-guided training. Recent research has primarily focused on consistency regularization techniques, exploring perturbation-invariant
Externí odkaz:
http://arxiv.org/abs/2403.06462
Predicting reactants from a specified core product stands as a fundamental challenge within organic synthesis, termed retrosynthesis prediction. Recently, semi-template-based methods and graph-edits-based methods have achieved good performance in ter
Externí odkaz:
http://arxiv.org/abs/2402.06772
Autor:
Guan, Runwei, Zhao, Haocheng, Yao, Shanliang, Man, Ka Lok, Zhu, Xiaohui, Yu, Limin, Yue, Yong, Smith, Jeremy, Lim, Eng Gee, Ding, Weiping, Yue, Yutao
Urban water-surface robust perception serves as the foundation for intelligent monitoring of aquatic environments and the autonomous navigation and operation of unmanned vessels, especially in the context of waterway safety. It is worth noting that c
Externí odkaz:
http://arxiv.org/abs/2312.08851
Autor:
Gerardin, Ylaine, Shamshoian, John, Shen, Judy, Le, Nhat, Prezioso, Jamie, Abel, John, Finberg, Isaac, Borders, Daniel, Biju, Raymond, Nercessian, Michael, Prasad, Vaed, Lee, Joseph, Wyman, Spencer, Gupta, Sid, Emerson, Abigail, Rahsepar, Bahar, Sanghavi, Darpan, Leung, Ryan, Yu, Limin, Khosla, Archit, Taylor-Weiner, Amaro
Nested pairwise frames is a method for relative benchmarking of cell or tissue digital pathology models against manual pathologist annotations on a set of sampled patches. At a high level, the method compares agreement between a candidate model and p
Externí odkaz:
http://arxiv.org/abs/2306.04709
Autor:
Nguyen, Tan H., Juyal, Dinkar, Li, Jin, Prakash, Aaditya, Nofallah, Shima, Shah, Chintan, Gullapally, Sai Chowdary, Yu, Limin, Griffin, Michael, Sampat, Anand, Abel, John, Lee, Justin, Taylor-Weiner, Amaro
Differences in staining and imaging procedures can cause significant color variations in histopathology images, leading to poor generalization when deploying deep-learning models trained from a different data source. Various color augmentation method
Externí odkaz:
http://arxiv.org/abs/2306.04527
Publikováno v:
Pattern Recognition, 133, p.109033 (2023)
Subgraph matching is to find all subgraphs in a data graph that are isomorphic to an existing query graph. Subgraph matching is an NP-hard problem, yet has found its applications in many areas. Many learning-based methods have been proposed for graph
Externí odkaz:
http://arxiv.org/abs/2211.04033
Autor:
Javed, Syed Ashar, Juyal, Dinkar, Padigela, Harshith, Taylor-Weiner, Amaro, Yu, Limin, Prakash, Aaditya
Multiple Instance Learning (MIL) has been widely applied in pathology towards solving critical problems such as automating cancer diagnosis and grading, predicting patient prognosis, and therapy response. Deploying these models in a clinical setting
Externí odkaz:
http://arxiv.org/abs/2206.01794
Publikováno v:
In Electrochimica Acta 20 August 2024 496
