Song, Hao

8 publications

ICCV 2025 Dual-Temporal Exemplar Representation Network for Video Semantic Segmentation Xiaolong Xu, Lei Zhang, Jiayi Li, Lituan Wang, Yifan Guan, Yu Yan, Leyi Zhang, Hao Song

MLJ 2023 Classifier Calibration: A Survey on How to Assess and Improve Predicted Class Probabilities Telmo de Menezes e Silva Filho, Hao Song, Miquel Perelló-Nieto, Raúl Santos-Rodríguez, Meelis Kull, Peter A. Flach

ICCVW 2023 Plant Root Occlusion Inpainting with Generative Adversarial Network Hao Song, Karim Panjvani, Zhigang Liu, Huzaifa Amar, Leon Kochian, Shengjian Ye, Xuan Yang, J. Allan Feurtado, Krunal Chavda, Karina Angela Chimbo Huatatoca, Mark G. Eramian

NeurIPS 2019 Beyond Temperature Scaling: Obtaining Well-Calibrated Multi-Class Probabilities with Dirichlet Calibration Meelis Kull, Miquel Perello Nieto, Markus Kängsepp, Telmo Silva Filho, Hao Song, Peter Flach

ICML 2019 Distribution Calibration for Regression Hao Song, Tom Diethe, Meelis Kull, Peter Flach

IJCAI 2018 Analysis of Patient Domestic Activity in Recovery from Hip or Knee RePlacement Surgery: Modelling Wrist-Worn Wearable RSSI and Accelerometer Data in the Wild Mike Holmes, Hao Song, Emma Tonkin, Miquel Perelló-Nieto, Sabrina Grant, Peter A. Flach

WACV 2018 Robust and User Friendly 3D Re-Construction of Neutron Tomographic Images Hao Song, Mark G. Eramian, Emil Hallin, Blanche Leyeza, Paul G. Arnison, Ronald Rogge

ECML-PKDD 2016 Subgroup Discovery with Proper Scoring Rules Hao Song, Meelis Kull, Peter A. Flach, Georgios Kalogridis