Michalis Raptis

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 12

Top Topics

Highly Connected

Natural Scene Images

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Shangbang Long, Siyang Qin, Yasuhisa Fujii, Alessandro Bissacco, Michalis Raptis
Hierarchical Text Spotter for Joint Text Spotting and Layout Analysis. WACV (2024)
Shangbang Long, Siyang Qin, Dmitry Panteleev, Alessandro Bissacco, Yasuhisa Fujii, Michalis Raptis
ICDAR 2023 Competition on Hierarchical Text Detection and Recognition. ICDAR (2) (2023)
Tianyu Hua, Yonglong Tian, Sucheng Ren, Michalis Raptis, Hang Zhao, Leonid Sigal
Self-supervision through Random Segments with Autoregressive Coding (RandSAC). ICLR (2023)
Shangbang Long, Siyang Qin, Dmitry Panteleev, Alessandro Bissacco, Yasuhisa Fujii, Michalis Raptis
ICDAR 2023 Competition on Hierarchical Text Detection and Recognition. CoRR (2023)
Shangbang Long, Siyang Qin, Yasuhisa Fujii, Alessandro Bissacco, Michalis Raptis
Hierarchical Text Spotter for Joint Text Spotting and Layout Analysis. CoRR (2023)
Shangbang Long, Siyang Qin, Dmitry Panteleev, Alessandro Bissacco, Yasuhisa Fujii, Michalis Raptis
Towards End-to-End Unified Scene Text Detection and Layout Analysis. CVPR (2022)
Shangbang Long, Siyang Qin, Dmitry Panteleev, Alessandro Bissacco, Yasuhisa Fujii, Michalis Raptis
Towards End-to-End Unified Scene Text Detection and Layout Analysis. CoRR (2022)
Shuang Liu, Renshen Wang, Michalis Raptis, Yasuhisa Fujii
Unified Line and Paragraph Detection by Graph Convolutional Networks. DAS (2022)
Shuang Liu, Renshen Wang, Michalis Raptis, Yasuhisa Fujii
Unified Line and Paragraph Detection by Graph Convolutional Networks. CoRR (2022)
Siyang Qin, Alessandro Bissacco, Michalis Raptis, Yasuhisa Fujii, Ying Xiao
Towards Unconstrained End-to-End Text Spotting. ICCV (2019)
Siyang Qin, Alessandro Bissacco, Michalis Raptis, Yasuhisa Fujii, Ying Xiao
Towards Unconstrained End-to-End Text Spotting. CoRR (2019)
Makoto Yamada, Leonid Sigal, Michalis Raptis, Machiko Toyoda, Yi Chang, Masashi Sugiyama
Cross-Domain Matching with Squared-Loss Mutual Information. IEEE Trans. Pattern Anal. Mach. Intell. 37 (9) (2015)
Makoto Yamada, Leonid Sigal, Michalis Raptis
Covariate Shift Adaptation for Discriminative 3D Pose Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 36 (2) (2014)
Soumya Ghosh, Michalis Raptis, Leonid Sigal, Erik B. Sudderth
Nonparametric Clustering with Distance Dependent Hierarchies. UAI (2014)
Michalis Raptis, Leonid Sigal
Poselet Key-Framing: A Model for Human Activity Recognition. CVPR (2013)
Nataliya Shapovalova, Michalis Raptis, Leonid Sigal, Greg Mori
Action is in the Eye of the Beholder: Eye-gaze Driven Model for Spatio-Temporal Action Localization. NIPS (2013)
Tian Lan, Michalis Raptis, Leonid Sigal, Greg Mori
From Subcategories to Visual Composites: A Multi-level Framework for Object Detection. ICCV (2013)
Makoto Yamada, Leonid Sigal, Michalis Raptis
No Bias Left behind: Covariate Shift Adaptation for Discriminative 3D Pose Estimation. ECCV (4) (2012)
Makoto Yamada, Leonid Sigal, Michalis Raptis, Masashi Sugiyama
Dependence Maximizing Temporal Alignment via Squared-Loss Mutual Information CoRR (2012)
Avinash Ravichandran, Chaohui Wang, Michalis Raptis, Stefano Soatto
SuperFloxels: A Mid-level Representation for Video Sequences. ECCV Workshops (3) (2012)
Alper Ayvaci, Michalis Raptis, Stefano Soatto
Sparse Occlusion Detection with Optical Flow. Int. J. Comput. Vis. 97 (3) (2012)
Michalis Raptis, Iasonas Kokkinos, Stefano Soatto
Discovering discriminative action parts from mid-level video representations. CVPR (2012)
Michalis Raptis, Darko Kirovski, Hugues Hoppe
Real-Time Classification of Dance Gesturesfrom Skeleton Animation. Symposium on Computer Animation (2011)
Michalis Raptis, Stefano Soatto
Tracklet Descriptors for Action Modeling and Video Analysis. ECCV (1) (2010)
Michalis Raptis, Kamil Wnuk, Stefano Soatto
Spike train driven dynamical models for human actions. CVPR (2010)
Alper Ayvaci, Michalis Raptis, Stefano Soatto
Occlusion Detection and Motion Estimation with Convex Optimization. NIPS (2010)