University of Pennsylvania（宾夕法尼亚大学）

Cross-Learning from Scarce Data via Multi-Task Constrained Optimization

Leopoldo Agorio, Juan Cerviño, Miguel Calvo-Fullana, Alejandro Ribeiro, Juan Andrés Bazerque

机构 * Department of Electrical Engineering, School of Engineering, Universidad de la República（电气工程系，工程学院，乌拉圭共和国大学） ； Massachusetts Institute of Technology（麻省理工学院） ； Department of Engineering, Universitat Pompeu Fabra（工程系，庞培法布拉大学） ； Department of Electrical and Systems Engineering, University of Pennsylvania（电气与系统工程系，宾夕法尼亚大学） 纠错

Comments 13 pages, 11 figures

A Robust Filter for Marker-less Multi-person Tracking in Human-Robot Interaction Scenarios

Enrico Martini, Harshil Parekh, Shaoting Peng, Nicola Bombieri, Nadia Figueroa

机构 * Department of Engineering for Innovation Medicine, University of Verona（创新医学工程系，威尼斯大学） ； GRASP Lab, Department of Mechanical Engineering and Applied Mechanics, University of Pennsylvania（GRASP实验室，宾夕法尼亚大学机械工程与应用力学系） 纠错

Comments Published by and copyright protected by IEEE, 6 pages, 3 figures, 33rd IEEE International Conference on Robot & Human Interactive Communication (RO-MAN 2024)

DenseAnnotate: Enabling Scalable Dense Caption Collection for Images and 3D Scenes via Spoken Descriptions

Xiaoyu Lin, Aniket Ghorpade, Hansheng Zhu, Justin Qiu, Dea Rrozhani, Monica Lama, Mick Yang, Zixuan Bian, Ruohan Ren, Alan B. Hong, Jiatao Gu, Chris Callison-Burch

机构 * University of Pennsylvania（宾夕法尼亚大学） 纠错

Edge Machine Learning for Cluster Counting in Next-Generation Drift Chambers

Deniz Yilmaz, Liangyu Wu, Julia Gonski, Dylan Rankin, Christian Herwig

机构 * Department of Physics（物理系） ； Stanford University（斯坦福大学） ； SLAC National Accelerator Laboratory（SLAC国家加速器实验室） ； University of Pennsylvania（宾夕法尼亚大学） ； University of Michigan（密歇根大学） 纠错

Comments 6 pages, 3 figures, 1 table. Machine Learning and the Physical Sciences Workshop, NeurIPS 2025