Spike train driven dynamical models for human actions. - Michalis Raptis; Kamil Wnuk; Stefano Soatto (CVPR, 2010)

Tracklet Descriptors for Action Modeling and Video Analysis. - Michalis Raptis; Stefano Soatto (ECCV (1), 2010)

Occlusion Detection and Motion Estimation with Convex Optimization. - Alper Ayvaci; Michalis Raptis; Stefano Soatto (NIPS, 2010)

Real-Time Classification of Dance Gesturesfrom Skeleton Animation. - Michalis Raptis; Darko Kirovski; Hugues Hoppe (Symposium on Computer Animation, 2011)

Discovering discriminative action parts from mid-level video representations. - Michalis Raptis; Iasonas Kokkinos; Stefano Soatto (CVPR, 2012)

SuperFloxels: A Mid-level Representation for Video Sequences. - Avinash Ravichandran; Chaohui Wang; Michalis Raptis; Stefano Soatto (ECCV Workshops (3), 2012)

No Bias Left behind: Covariate Shift Adaptation for Discriminative 3D Pose Estimation. - Makoto Yamada; Leonid Sigal; Michalis Raptis (ECCV (4), 2012)

Dependence Maximizing Temporal Alignment via Squared-Loss Mutual Information - Makoto Yamada; Leonid Sigal; Michalis Raptis; Masashi Sugiyama (CoRR, 2012)

Sparse Occlusion Detection with Optical Flow. - Alper Ayvaci; Michalis Raptis; Stefano Soatto (Int. J. Comput. Vis., 2012)

Poselet Key-Framing: A Model for Human Activity Recognition. - Michalis Raptis; Leonid Sigal (CVPR, 2013)

From Subcategories to Visual Composites: A Multi-level Framework for Object Detection. - Tian Lan 006; Michalis Raptis; Leonid Sigal; Greg Mori (ICCV, 2013)

Action is in the Eye of the Beholder: Eye-gaze Driven Model for Spatio-Temporal Action Localization. - Nataliya Shapovalova; Michalis Raptis; Leonid Sigal; Greg Mori (NIPS, 2013)

Nonparametric Clustering with Distance Dependent Hierarchies. - Soumya Ghosh; Michalis Raptis; Leonid Sigal; Erik B. Sudderth (UAI, 2014)

Covariate Shift Adaptation for Discriminative 3D Pose Estimation. - Makoto Yamada; Leonid Sigal; Michalis Raptis (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Cross-Domain Matching with Squared-Loss Mutual Information. - Makoto Yamada; Leonid Sigal; Michalis Raptis; Machiko Toyoda; Yi Chang 001; Masashi Sugiyama (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Towards Unconstrained End-to-End Text Spotting. - Siyang Qin; Alessandro Bissacco; Michalis Raptis; Yasuhisa Fujii; Ying Xiao (ICCV, 2019)

Towards End-to-End Unified Scene Text Detection and Layout Analysis. - Shangbang Long; Siyang Qin; Dmitry Panteleev; Alessandro Bissacco; Yasuhisa Fujii; Michalis Raptis (CVPR, 2022)

Unified Line and Paragraph Detection by Graph Convolutional Networks. - Shuang Liu; Renshen Wang; Michalis Raptis; Yasuhisa Fujii (DAS, 2022)

ICDAR 2023 Competition on Hierarchical Text Detection and Recognition. - Shangbang Long; Siyang Qin; Dmitry Panteleev; Alessandro Bissacco; Yasuhisa Fujii; Michalis Raptis (ICDAR (2), 2023)

Self-supervision through Random Segments with Autoregressive Coding (RandSAC). - Tianyu Hua; Yonglong Tian; Sucheng Ren; Michalis Raptis; Hang Zhao; Leonid Sigal (ICLR, 2023)

Hierarchical Text Spotter for Joint Text Spotting and Layout Analysis. - Shangbang Long; Siyang Qin; Yasuhisa Fujii; Alessandro Bissacco; Michalis Raptis (WACV, 2024)

Unified Autoregressive Visual Generation and Understanding with Continuous Tokens. - Lijie Fan; Luming Tang; Siyang Qin; Tianhong Li; Xuan Yang; Siyuan Qiao; Andreas Steiner 001; Chen Sun 002; Yuanzhen Li; Tao Zhu; Michael Rubinstein; Michalis Raptis; et al. (CoRR, 2025)

TextSR: Diffusion Super-Resolution with Multilingual OCR Guidance. - Keren Ye; Ignacio Garcia-Dorado; Michalis Raptis; Mauricio Delbracio; Irene Zhu; Peyman Milanfar; Hossein Talebi (CoRR, 2025)