Ionut Cosmin Duta
Ionut Cosmin Duta
Inception Institute of Artificial Intelligence (IIAI)
Verified email at disi.unitn.it - Homepage
Title
Cited by
Cited by
Year
Video classification with densely extracted hog/hof/mbh features: an evaluation of the accuracy/computational efficiency trade-off
J Uijlings, IC Duta, E Sangineto, N Sebe
International Journal of Multimedia Information Retrieval 4 (1), 33-44, 2015
832015
Spatio-Temporal Vector of Locally Max Pooled Features for Action Recognition in Videos
IC Duta, B Ionescu, K Aizawa, N Sebe
Computer Vision and Pattern Recognition (CVPR), 2017
50*2017
Realtime video classification using dense hof/hog
JRR Uijlings, IC Duta, N Rostamzadeh, N Sebe
Proceedings of international conference on multimedia retrieval, 145-152, 2014
492014
Spatio-temporal VLAD Encoding for Human Action Recognition in Videos
IC Duta, B Ionescu, K Aizawa, N Sebe
International Conference on Multimedia Modeling (MMM), 2017
322017
Histograms of Motion Gradients for real-time video classification
IC Duta, JRR Uijlings, TA Nguyen, K Aizawa, AG Hauptmann, B Ionescu, ...
Content-Based Multimedia Indexing (CBMI), 2016, 1-6, 2016
292016
A modified vector of locally aggregated descriptors approach for fast video classification
I Mironică, IC Duţă, B Ionescu, N Sebe
Multimedia Tools and Applications 75 (15), 9045-9072, 2016
282016
Efficient human action recognition using histograms of motion gradients and VLAD with descriptor shape information
IC Duta, JRR Uijlings, B Ionescu, K Aizawa, AG Hauptmann, N Sebe
Multimedia Tools and Applications 76 (21), 22445-22472, 2017
222017
Boosting VLAD with Double Assignment using Deep Features for Action Recognition in Videos
IC Duta, TA Nguyen, K Aizawa, B Ionescu, N Sebe
International Conference on Pattern Recognition (ICPR), 2016
92016
Beyond bag-of-words: Fast video classification with fisher kernel vector of locally aggregated descriptors
I Mironică, I Duţă, B Ionescu, N Sebe
2015 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2015
72015
Simple, Efficient and Effective Encodings of Local Deep Features for Video Action Recognition
IC Duta, B Ionescu, K Aizawa, N Sebe
International Conference on Multimedia Retrieval (ICMR), 2017
32017
Improved Residual Networks for Image and Video Recognition
IC Duta, L Liu, F Zhu, L Shao
arXiv preprint arXiv:2004.04989, 2020
22020
Generative Reconstructive Hashing for Incomplete Video Analysis
J Zhang, Z Wei, IC Duta, F Shen, L Liu, F Zhu, X Xu, L Shao, HT Shen
Proceedings of the 27th ACM International Conference on Multimedia, 845-854, 2019
12019
Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition
IC Duta, L Liu, F Zhu, L Shao
arXiv preprint arXiv:2006.11538, 2020
2020
Efficient and Effective Solutions for Video Classification
IC Duta
University of Trento, 2017
2017
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Articles 1–14