Catalin Ionescu

According to our database, Catalin Ionescu authored at least 17 papers between 2009 and 2023.

Collaborative distances:

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

2023

Learning from One Continuous Video Stream.

João Carreira, Michael King, Viorica Patraucean, Dilara Gokay, Catalin Ionescu, Yi Yang, Daniel Zoran, Joseph Heyward, Carl Doersch, Yusuf Aytar, Dima Damen, Andrew Zisserman

CoRR, 2023

2022

Hierarchical Perceiver.

João Carreira, Skanda Koppula, Daniel Zoran, Adrià Recasens, Catalin Ionescu, Olivier J. Hénaff, Evan Shelhamer, Relja Arandjelovic, Matthew M. Botvinick, Oriol Vinyals, Karen Simonyan, Andrew Zisserman, Andrew Jaegle

CoRR, 2022

Perceiver IO: A General Architecture for Structured Inputs & Outputs.

Andrew Jaegle, Sebastian Borgeaud, Jean-Baptiste Alayrac, Carl Doersch, Catalin Ionescu, David Ding, Skanda Koppula, Daniel Zoran, Andrew Brock, Evan Shelhamer, Olivier J. Hénaff, Matthew M. Botvinick, Andrew Zisserman, Oriol Vinyals, João Carreira

Proceedings of the Tenth International Conference on Learning Representations, 2022

2020

Making Sense of Reinforcement Learning and Probabilistic Inference.

Brendan O'Donoghue, Ian Osband, Catalin Ionescu

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Unsupervised Learning of Object Keypoints for Perception and Control.

Tejas D. Kulkarni, Ankush Gupta, Catalin Ionescu, Sebastian Borgeaud, Malcolm Reynolds, Andrew Zisserman, Volodymyr Mnih

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Unsupervised Control Through Non-Parametric Discriminative Rewards.

David Warde-Farley, Tom Van de Wiele, Tejas D. Kulkarni, Catalin Ionescu, Steven Hansen, Volodymyr Mnih

Proceedings of the 7th International Conference on Learning Representations, 2019

2017

Large scale structured models for computer vision.

Catalin Ionescu

PhD thesis, 2017

Large-Scale Data-Dependent Kernel Approximation.

Catalin Ionescu, Alin-Ionut Popa, Cristian Sminchisescu

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Using Fast Weights to Attend to the Recent Past.

Jimmy Ba, Geoffrey E. Hinton, Volodymyr Mnih, Joel Z. Leibo, Catalin Ionescu

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Training Deep Networks with Structured Layers by Matrix Backpropagation.

Catalin Ionescu, Orestis Vantzos, Cristian Sminchisescu

CoRR, 2015

Matrix Backpropagation for Deep Networks with Structured Layers.

Catalin Ionescu, Orestis Vantzos, Cristian Sminchisescu

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

Human3.6M: Large Scale Datasets and Predictive Methods for 3D Human Sensing in Natural Environments.

Catalin Ionescu, Dragos Papava, Vlad Olaru, Cristian Sminchisescu

IEEE Trans. Pattern Anal. Mach. Intell., 2014

Iterated Second-Order Label Sensitive Pooling for 3D Human Pose Estimation.

Catalin Ionescu, João Carreira, Cristian Sminchisescu

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2011

Latent structured models for human pose estimation.

Catalin Ionescu, Fuxin Li, Cristian Sminchisescu

Proceedings of the IEEE International Conference on Computer Vision, 2011

Feature-Based Pose Estimation.

Cristian Sminchisescu, Liefeng Bo, Catalin Ionescu, Atul Kanaujia

Proceedings of the Visual Analysis of Humans - Looking at People., 2011

2010

Random Fourier Approximations for Skewed Multiplicative Histogram Kernels.

Fuxin Li, Catalin Ionescu, Cristian Sminchisescu

Proceedings of the Pattern Recognition, 2010

2009

Structural SVM for visual localization and continuous state estimation.

Catalin Ionescu, Liefeng Bo, Cristian Sminchisescu

Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009