Structural SVM for visual localization and continuous state estimation. - Catalin Ionescu; Liefeng Bo; Cristian Sminchisescu (ICCV, 2009)

Random Fourier Approximations for Skewed Multiplicative Histogram Kernels. - Fuxin Li; Catalin Ionescu; Cristian Sminchisescu (DAGM-Symposium, 2010)

Feature-Based Pose Estimation. - Cristian Sminchisescu; Liefeng Bo; Catalin Ionescu; Atul Kanaujia (Visual Analysis of Humans, 2011)

Latent structured models for human pose estimation. - Catalin Ionescu; Fuxin Li; Cristian Sminchisescu (ICCV, 2011)

Iterated Second-Order Label Sensitive Pooling for 3D Human Pose Estimation. - Catalin Ionescu; João Carreira 002; Cristian Sminchisescu (CVPR, 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)

Matrix Backpropagation for Deep Networks with Structured Layers. - Catalin Ionescu; Orestis Vantzos; Cristian Sminchisescu (ICCV, 2015)

Training Deep Networks with Structured Layers by Matrix Backpropagation. - Catalin Ionescu; Orestis Vantzos; Cristian Sminchisescu (CoRR, 2015)

Using Fast Weights to Attend to the Recent Past. - Jimmy Ba; Geoffrey E. Hinton; Volodymyr Mnih; Joel Z. Leibo; Catalin Ionescu (NIPS, 2016)

Large-Scale Data-Dependent Kernel Approximation. - Catalin Ionescu; Alin-Ionut Popa; Cristian Sminchisescu (AISTATS, 2017)

Large scale structured models for computer vision. - Catalin Ionescu (2017)

Unsupervised Control Through Non-Parametric Discriminative Rewards. - David Warde-Farley; Tom Van de Wiele; Tejas D. Kulkarni; Catalin Ionescu; Steven Hansen 001; Volodymyr Mnih (ICLR (Poster), 2019)

Unsupervised Learning of Object Keypoints for Perception and Control. - Tejas D. Kulkarni; Ankush Gupta 001; Catalin Ionescu; Sebastian Borgeaud; Malcolm Reynolds; Andrew Zisserman; Volodymyr Mnih (NeurIPS, 2019)

Making Sense of Reinforcement Learning and Probabilistic Inference. - Brendan O'Donoghue; Ian Osband; Catalin Ionescu (ICLR, 2020)

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; et al. (ICLR, 2022)

Hierarchical Perceiver. - João Carreira 001; Skanda Koppula; Daniel Zoran; Adrià Recasens; Catalin Ionescu; Olivier J. Hénaff; Evan Shelhamer; Relja Arandjelovic; Matthew M. Botvinick; Oriol Vinyals; Karen Simonyan; Andrew Zisserman; et al. (CoRR, 2022)

Learning from One Continuous Video Stream. - João Carreira 001; Michael King; Viorica Patraucean; Dilara Gokay; Catalin Ionescu; Yi Yang 007; Daniel Zoran; Joseph Heyward; Carl Doersch; Yusuf Aytar; Dima Damen; Andrew Zisserman (CVPR, 2024)