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Michal Koperski
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2020 – today
- 2023
- [c16]Patryk Wielopolski, Michal Koperski, Maciej Zieba:
Flow Plugin Network for Conditional Generation. ACIIDS (2) 2023: 221-232 - 2021
- [i3]Patryk Wielopolski, Michal Koperski, Maciej Zieba:
Flow Plugin Network for conditional generation. CoRR abs/2110.04081 (2021) - 2020
- [c15]Michal Koperski, Tomasz K. Konopczynski, Rafal Nowak, Piotr Semberecki, Tomasz Trzcinski:
Plugin Networks for Inference under Partial Evidence. WACV 2020: 2872-2880
2010 – 2019
- 2019
- [c14]Srijan Das, Rui Dai, Michal Koperski, Luca Minciullo, Lorenzo Garattoni, François Brémond, Gianpiero Francesca:
Toyota Smarthome: Real-World Activities of Daily Living. ICCV 2019: 833-842 - [c13]Srijan Das, Monique Thonnat, Kaustubh Sakhalkar, Michal Koperski, François Brémond, Gianpiero Francesca:
A New Hybrid Architecture for Human Activity Recognition from RGB-D Videos. MMM (2) 2019: 493-505 - [i2]Michal Koperski, Tomasz K. Konopczynski, Piotr Semberecki, Tomasz Trzcinski:
Plugin Networks for Inference under Partial Evidence. CoRR abs/1901.00326 (2019) - 2018
- [j2]Farhood Negin, Pau Rodríguez, Michal Koperski, Adlen Kerboua, Jordi Gonzàlez, Jeremy Bourgeois, Emmanuelle Chapoulie, Philippe Robert, François Brémond:
PRAXIS: Towards automatic cognitive assessment using gesture recognition. Expert Syst. Appl. 106: 21-35 (2018) - [c12]Srijan Das, Michal Koperski, François Brémond, Gianpiero Francesca:
Deep-Temporal LSTM for Daily Living Action Recognition. AVSS 2018: 1-6 - [c11]Srijan Das, Kaustubh Sakhalkar, Michal Koperski, François Brémond:
Spatio-Temporal Grids for Daily Living Action Recognition. ICVGIP 2018: 23:1-23:6 - [c10]Abhishek Goel, Abdelrahman G. Abubakr, Michal Koperski, François Brémond, Gianpiero Francesca:
Online temporal detection of daily-living human activities in long untrimmed video streams. IPAS 2018: 43-48 - [i1]Srijan Das, Michal Koperski, François Brémond, Gianpiero Francesca:
A Fusion of Appearance based CNNs and Temporal evolution of Skeleton with LSTM for Daily Living Action Recognition. CoRR abs/1802.00421 (2018) - 2017
- [b1]Michal Koperski:
Human Action Recognition in Videos with Local Representation. (Reconnaissance d'actions humaines dans des vidéos utilisant une représentation locale). University of Côte d'Azur, France, 2017 - [j1]Carlos Fernando Crispim Junior, Alvaro Gómez Uría, Carola Strumia, Michal Koperski, Alexandra König, Farhood Negin, Serhan Cosar, Anh-Tuan Nghiem, Duc Phu Chau, Guillaume Charpiat, François Brémond:
Online Recognition of Daily Activities by Color-Depth Sensing and Knowledge Models. Sensors 17(7): 1528 (2017) - [c9]Srijan Das, Michal Koperski, François Brémond, Gianpiero Francesca:
Action recognition based on a mixture of RGB and depth based skeleton. AVSS 2017: 1-6 - [c8]Michal Koperski, Slawomir Bak, Peter Carr:
Groups Re-identification with Temporal Context. ICMR 2017: 209-217 - 2016
- [c7]Farhood Negin, Michal Koperski, Carlos Fernando Crispim, François Brémond, Serhan Cosar, Konstantinos Avgerinakis:
A hybrid framework for online recognition of activities of daily living in real-world settings. AVSS 2016: 37-43 - [c6]Michal Koperski, François Brémond:
Modeling spatial layout of features for real world scenario RGB-D action recognition. AVSS 2016: 44-50 - [c5]Carlos Fernando Crispim, Michal Koperski, Serhan Cosar, François Brémond:
Semi-supervised understanding of complex activities from temporal concepts. AVSS 2016: 80-87 - 2015
- [c4]Farhood Negin, Serhan Cosar, François Brémond, Michal Koperski:
Generating unsupervised models for online long-term daily living activity recognition. ACPR 2015: 186-190 - [c3]Javier Ortiz, Slawomir Bak, Michal Koperski, François Brémond:
Minimizing hallucination in histogram of Oriented Gradients. AVSS 2015: 1-6 - 2014
- [c2]Piotr Tadeusz Bilinski, Michal Koperski, Slawomir Bak, François Brémond:
Representing visual appearance by video Brownian covariance descriptor for human action recognition. AVSS 2014: 87-92 - [c1]Michal Koperski, Piotr Tadeusz Bilinski, François Brémond:
3D trajectories for action recognition. ICIP 2014: 4176-4180
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