Search Results for author: Michalis Raptis

Found 9 papers, 3 papers with code

Hierarchical Text Spotter for Joint Text Spotting and Layout Analysis

1 code implementation25 Oct 2023 Shangbang Long, Siyang Qin, Yasuhisa Fujii, Alessandro Bissacco, Michalis Raptis

We propose Hierarchical Text Spotter (HTS), a novel method for the joint task of word-level text spotting and geometric layout analysis.

Text Spotting

Self-supervision through Random Segments with Autoregressive Coding (RandSAC)

no code implementations22 Mar 2022 Tianyu Hua, Yonglong Tian, Sucheng Ren, Michalis Raptis, Hang Zhao, Leonid Sigal

We illustrate that randomized serialization of the segments significantly improves the performance and results in distribution over spatially-long (across-segments) and -short (within-segment) predictions which are effective for feature learning.

Representation Learning Self-Supervised Learning

Unified Line and Paragraph Detection by Graph Convolutional Networks

no code implementations17 Mar 2022 Shuang Liu, Renshen Wang, Michalis Raptis, Yasuhisa Fujii

We formulate the task of detecting lines and paragraphs in a document into a unified two-level clustering problem.

Clustering Text Detection

Towards Unconstrained End-to-End Text Spotting

no code implementations ICCV 2019 Siyang Qin, Alessandro Bissacco, Michalis Raptis, Yasuhisa Fujii, Ying Xiao

We propose an end-to-end trainable network that can simultaneously detect and recognize text of arbitrary shape, making substantial progress on the open problem of reading scene text of irregular shape.

Instance Segmentation Optical Character Recognition (OCR) +3

Poselet Key-Framing: A Model for Human Activity Recognition

no code implementations CVPR 2013 Michalis Raptis, Leonid Sigal

We show classification performance that is competitive with the state of the art on the benchmark UT-Interaction dataset and illustrate that our model outperforms prior methods in an on-line streaming setting.

Human Activity Recognition Temporal Localization

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