Wykaz publikacji wybranego autora

Bogdan Kwolek, prof. dr hab. inż.

profesor zwyczajny

Wydział Informatyki
WI-ii, Instytut Informatyki

  • 2020

    [dyscyplina 1] dziedzina nauk inżynieryjno-technicznych / informatyka techniczna i telekomunikacja

    [dyscyplina 2] dziedzina nauk ścisłych i przyrodniczych / informatyka (50%)

  • 2018

    [dyscyplina 1] dziedzina nauk ścisłych i przyrodniczych / informatyka

    [dyscyplina 2] dziedzina nauk inżynieryjno-technicznych / informatyka techniczna i telekomunikacja (25%)

[poprzednia klasyfikacja] obszar nauk technicznych / dziedzina nauk technicznych / informatyka

Identyfikatory Autora Informacje o Autorze w systemach zewnętrznych

ORCID: 0000-0002-7715-1435 orcid iD

ResearcherID: M-4552-2013

Scopus: 55948049900

PBN: 5e709267878c28a0473951ab

OPI Nauka Polska

System Informacyjny AGH (SkOs)

1
  • 3D gait recognition using spatio-temporal motion descriptors
2
  • 3D model-based 6D object pose tracking on RGB images
3
  • 3D model-based 6D object pose tracking on RGB images using particle filtering and heuristic optimization
4
  • 6D pose estimation of texture-less objects on RGB images using CNNs
5
  • Breast cancer classification on histopathological images affected by data imbalance using active learning and deep convolutional neural network
6
  • Calibrated and synchronized multi-view video and motion capture dataset for evaluation of gait recognition
7
  • Classification of histopathological images using Scale-Invariant Feature Transform
8
  • CNN-based and DTW features for human activity recognition on depth maps
9
  • Continuous hand gesture recognition for human-robot collaborative assembly
10
  • Convolutional neural network-based action recognition on depth maps
11
  • Convolutional neural network-based classification of histopathological images affected by data imbalance
12
  • Decision combination in classifier committee built on deep embedding features
13
  • Deep CNN-based recognition of JSL finger spelling
14
  • Deep embedding features for action recognition on raw depth maps
15
  • Deep embeddings-based place recognition robust to motion blur
16
  • Deep quaternion pose proposals for 6D object pose tracking
17
  • Detecting human falls with 3-axis accelerometer and depth sensor
18
  • DiagSet: a dataset for prostate cancer histopathological image classification
19
  • DTW-based gait recognition from recovered 3-D joint angles and inter-ankle distance
20
  • Dynamic hand gesture recognition for human-robot collaborative assembly
21
  • Embedded features for 1D CNN-based action recognition on depth maps
22
  • Embedded system for fall detection using body-worn accelerometer and depth sensor
23
  • Enhancing decision combination in classifier committee via positional voting
24
  • Enhancing visual place inference via image ranking using fuzzy similarity and agreeability
25
  • Ensemble of classifiers using CNN and hand-crafted features for depth-based action recognition