Catalin Ionescu

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 13

Top Venues

CoRR

ICLR

AISTATS

NIPS

University of Bonn, Germany (PHD)

Education History

University of Bonn, Germany

PHD

Publications

João Carreira, Michael King, Viorica Patraucean, Dilara Gokay, Catalin Ionescu, Yi Yang, Daniel Zoran, Joseph Heyward, Carl Doersch, Yusuf Aytar, Dima Damen, Andrew Zisserman
Learning from One Continuous Video Stream. CoRR (2023)
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
Perceiver IO: A General Architecture for Structured Inputs & Outputs. ICLR (2022)
João Carreira, Skanda Koppula, Daniel Zoran, Adrià Recasens, Catalin Ionescu, Olivier J. Hénaff, Evan Shelhamer, Relja Arandjelovic, Matthew Botvinick, Oriol Vinyals, Karen Simonyan, Andrew Zisserman, Andrew Jaegle
Hierarchical Perceiver. CoRR (2022)
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
Perceiver IO: A General Architecture for Structured Inputs & Outputs. CoRR (2021)
Brendan O'Donoghue, Ian Osband, Catalin Ionescu
Making Sense of Reinforcement Learning and Probabilistic Inference. ICLR (2020)
Brendan O'Donoghue, Ian Osband, Catalin Ionescu
Making Sense of Reinforcement Learning and Probabilistic Inference. CoRR (2020)
Tejas D. Kulkarni, Ankush Gupta, Catalin Ionescu, Sebastian Borgeaud, Malcolm Reynolds, Andrew Zisserman, Volodymyr Mnih
Unsupervised Learning of Object Keypoints for Perception and Control. CoRR (2019)
David Warde-Farley, Tom Van de Wiele, Tejas D. Kulkarni, Catalin Ionescu, Steven Hansen, Volodymyr Mnih
Unsupervised Control Through Non-Parametric Discriminative Rewards. ICLR (Poster) (2019)
Tejas D. Kulkarni, Ankush Gupta, Catalin Ionescu, Sebastian Borgeaud, Malcolm Reynolds, Andrew Zisserman, Volodymyr Mnih
Unsupervised Learning of Object Keypoints for Perception and Control. NeurIPS (2019)
David Warde-Farley, Tom Van de Wiele, Tejas D. Kulkarni, Catalin Ionescu, Steven Hansen, Volodymyr Mnih
Unsupervised Control Through Non-Parametric Discriminative Rewards. CoRR (2018)
Catalin Ionescu, Alin-Ionut Popa, Cristian Sminchisescu
Large-Scale Data-Dependent Kernel Approximation. AISTATS (2017)
Jimmy Ba, Geoffrey E. Hinton, Volodymyr Mnih, Joel Z. Leibo, Catalin Ionescu
Using Fast Weights to Attend to the Recent Past. NIPS (2016)
Jimmy Ba, Geoffrey E. Hinton, Volodymyr Mnih, Joel Z. Leibo, Catalin Ionescu
Using Fast Weights to Attend to the Recent Past. CoRR (2016)
Catalin Ionescu, Orestis Vantzos, Cristian Sminchisescu
Matrix Backpropagation for Deep Networks with Structured Layers. ICCV (2015)
Catalin Ionescu, Orestis Vantzos, Cristian Sminchisescu
Training Deep Networks with Structured Layers by Matrix Backpropagation. CoRR (2015)
Catalin Ionescu, Dragos Papava, Vlad Olaru, Cristian Sminchisescu
Human3.6M: Large Scale Datasets and Predictive Methods for 3D Human Sensing in Natural Environments. IEEE Trans. Pattern Anal. Mach. Intell. 36 (7) (2014)
Catalin Ionescu, João Carreira, Cristian Sminchisescu
Iterated Second-Order Label Sensitive Pooling for 3D Human Pose Estimation. CVPR (2014)
Catalin Ionescu, Fuxin Li, Cristian Sminchisescu
Latent structured models for human pose estimation. ICCV (2011)
Fuxin Li, Catalin Ionescu, Cristian Sminchisescu
Random Fourier Approximations for Skewed Multiplicative Histogram Kernels. DAGM-Symposium (2010)
Catalin Ionescu, Liefeng Bo, Cristian Sminchisescu
Structural SVM for visual localization and continuous state estimation. ICCV (2009)

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Publication Activity (10 Years)

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Catalin Ionescu