I. C. Duta

According to our database, I. C. Duta authored at least 15 papers between 2014 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Contextual Convolutional Neural Networks.

Ionut Cosmin Duta, Mariana-Iuliana Georgescu, Radu Tudor Ionescu

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition.

Ionut Cosmin Duta, Li Liu, Fan Zhu, Ling Shao

CoRR, 2020

Improved Residual Networks for Image and Video Recognition.

Ionut Cosmin Duta, Li Liu, Fan Zhu, Ling Shao

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Generative Reconstructive Hashing for Incomplete Video Analysis.

Jingyi Zhang, Zhen Wei, Ionut Cosmin Duta, Fumin Shen, Li Liu, Fan Zhu, Xing Xu, Ling Shao, Heng Tao Shen

Proceedings of the 27th ACM International Conference on Multimedia, 2019

2017

Efficient and Effective Solutions for Video Classification.

Ionut Cosmin Duta

PhD thesis, 2017

Efficient human action recognition using histograms of motion gradients and VLAD with descriptor shape information.

Ionut C. Duta, Jasper R. R. Uijlings, Bogdan Ionescu, Kiyoharu Aizawa, Alexander G. Hauptmann, Nicu Sebe

Multim. Tools Appl., 2017

Spatio-Temporal VLAD Encoding for Human Action Recognition in Videos.

Ionut C. Duta, Bogdan Ionescu, Kiyoharu Aizawa, Nicu Sebe

Proceedings of the MultiMedia Modeling - 23rd International Conference, 2017

Simple, Efficient and Effective Encodings of Local Deep Features for Video Action Recognition.

Ionut C. Duta, Bogdan Ionescu, Kiyoharu Aizawa, Nicu Sebe

Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval, 2017

Spatio-Temporal Vector of Locally Max Pooled Features for Action Recognition in Videos.

Ionut Cosmin Duta, Bogdan Ionescu, Kiyoharu Aizawa, Nicu Sebe

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

A modified vector of locally aggregated descriptors approach for fast video classification.

Ionut Mironica, Ionut C. Duta, Bogdan Ionescu, Nicu Sebe

Multim. Tools Appl., 2016

Boosting VLAD with double assignment using deep features for action recognition in videos.

Ionut C. Duta, Tuan Anh Nguyen, Kiyoharu Aizawa, Bogdan Ionescu, Nicu Sebe

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Histograms of Motion Gradients for real-time video classification.

Ionut C. Duta, Jasper R. R. Uijlings, Tuan Anh Nguyen, Kiyoharu Aizawa, Alexander G. Hauptmann, Bogdan Ionescu, Nicu Sebe

Proceedings of the 14th International Workshop on Content-Based Multimedia Indexing, 2016

2015

Video classification with Densely extracted HOG/HOF/MBH features: an evaluation of the accuracy/computational efficiency trade-off.

Jasper R. R. Uijlings, I. C. Duta, Enver Sangineto, Nicu Sebe

Int. J. Multim. Inf. Retr., 2015

Beyond Bag-of-Words: Fast video classification with Fisher Kernel Vector of Locally Aggregated Descriptors.

Ionut Mironica, Ionut Duta, Bogdan Ionescu, Nicu Sebe

Proceedings of the 2015 IEEE International Conference on Multimedia and Expo, 2015

2014

Realtime Video Classification using Dense HOF/HOG.

Jasper R. R. Uijlings, I. C. Duta, Negar Rostamzadeh, Nicu Sebe

Proceedings of the International Conference on Multimedia Retrieval, 2014