Catalin Ionescu

24 papers A* 8A 1Journal 10Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	LayerLock: Non-collapsing Representation Learning with Progressive Freezing. CoRR Goker Erdogan, Nikhil Parthasarathy, Catalin Ionescu, Drew A. Hudson, Alexander Lerchner, Andrew Zisserman, Mehdi S. M. Sajjadi, João Carreira
2024	A*	`conf`	Learning from One Continuous Video Stream. CVPR João Carreira, Michael King, Viorica Patraucean, Dilara Gokay, Catalin Ionescu, Yi Yang, Daniel Zoran, Joseph Heyward, Carl Doersch, Yusuf Aytar, Dima Damen, Andrew Zisserman
2023	J	`jnl`	Learning from One Continuous Video Stream. CoRR João Carreira, Michael King, Viorica Patraucean, Dilara Gokay, Catalin Ionescu, Yi Yang, Daniel Zoran, Joseph Heyward, Carl Doersch, Yusuf Aytar, Dima Damen, Andrew Zisserman
2022	J	`jnl`	Hierarchical Perceiver. CoRR 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
2022	A*	`conf`	Perceiver IO: A General Architecture for Structured Inputs & Outputs. ICLR 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
2021	J	`jnl`	Perceiver IO: A General Architecture for Structured Inputs & Outputs. CoRR 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
2020	A*	`conf`	Making Sense of Reinforcement Learning and Probabilistic Inference. ICLR Brendan O'Donoghue, Ian Osband, Catalin Ionescu
2020	J	`jnl`	Making Sense of Reinforcement Learning and Probabilistic Inference. CoRR Brendan O'Donoghue, Ian Osband, Catalin Ionescu
2019	—	`conf`	Unsupervised Control Through Non-Parametric Discriminative Rewards. ICLR (Poster) David Warde-Farley, Tom Van de Wiele, Tejas D. Kulkarni, Catalin Ionescu, Steven Hansen, Volodymyr Mnih
2019	A*	`conf`	Unsupervised Learning of Object Keypoints for Perception and Control. NeurIPS Tejas D. Kulkarni, Ankush Gupta, Catalin Ionescu, Sebastian Borgeaud, Malcolm Reynolds, Andrew Zisserman, Volodymyr Mnih
2019	J	`jnl`	Unsupervised Learning of Object Keypoints for Perception and Control. CoRR Tejas D. Kulkarni, Ankush Gupta, Catalin Ionescu, Sebastian Borgeaud, Malcolm Reynolds, Andrew Zisserman, Volodymyr Mnih
2018	J	`jnl`	Unsupervised Control Through Non-Parametric Discriminative Rewards. CoRR David Warde-Farley, Tom Van de Wiele, Tejas D. Kulkarni, Catalin Ionescu, Steven Hansen, Volodymyr Mnih
2017	—	`—`	Large scale structured models for computer vision. Catalin Ionescu
2017	A	`conf`	Large-Scale Data-Dependent Kernel Approximation. AISTATS Catalin Ionescu, Alin-Ionut Popa, Cristian Sminchisescu
2016	—	`conf`	Using Fast Weights to Attend to the Recent Past. NIPS Jimmy Ba, Geoffrey E. Hinton, Volodymyr Mnih, Joel Z. Leibo, Catalin Ionescu
2016	J	`jnl`	Using Fast Weights to Attend to the Recent Past. CoRR Jimmy Ba, Geoffrey E. Hinton, Volodymyr Mnih, Joel Z. Leibo, Catalin Ionescu
2015	A*	`conf`	Matrix Backpropagation for Deep Networks with Structured Layers. ICCV Catalin Ionescu, Orestis Vantzos, Cristian Sminchisescu
2015	J	`jnl`	Training Deep Networks with Structured Layers by Matrix Backpropagation. CoRR Catalin Ionescu, Orestis Vantzos, Cristian Sminchisescu
2014	J	`jnl`	Human3.6M: Large Scale Datasets and Predictive Methods for 3D Human Sensing in Natural Environments. IEEE Trans. Pattern Anal. Mach. Intell. Catalin Ionescu, Dragos Papava, Vlad Olaru, Cristian Sminchisescu
2014	A*	`conf`	Iterated Second-Order Label Sensitive Pooling for 3D Human Pose Estimation. CVPR Catalin Ionescu, João Carreira, Cristian Sminchisescu
2011	—	`ch.`	Feature-Based Pose Estimation. Visual Analysis of Humans Cristian Sminchisescu, Liefeng Bo, Catalin Ionescu, Atul Kanaujia
2011	A*	`conf`	Latent structured models for human pose estimation. ICCV Catalin Ionescu, Fuxin Li, Cristian Sminchisescu
2010	—	`conf`	Random Fourier Approximations for Skewed Multiplicative Histogram Kernels. DAGM-Symposium Fuxin Li, Catalin Ionescu, Cristian Sminchisescu
2009	A*	`conf`	Structural SVM for visual localization and continuous state estimation. ICCV Catalin Ionescu, Liefeng Bo, Cristian Sminchisescu