Catalin Ionescu
Catalin Ionescu
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Human3. 6m: Large scale datasets and predictive methods for 3d human sensing in natural environments
C Ionescu, D Papava, V Olaru, C Sminchisescu
Pattern Analysis and Machine Intelligence, IEEE Transactions on 36 (7), 1325 …, 2014
Perceiver io: A general architecture for structured inputs & outputs
A Jaegle, S Borgeaud, JB Alayrac, C Doersch, C Ionescu, D Ding, ...
arXiv preprint arXiv:2107.14795, 2021
Matrix backpropagation for deep networks with structured layers
C Ionescu, O Vantzos, C Sminchisescu
Proceedings of the IEEE international conference on computer vision, 2965-2973, 2015
Latent Structured Models for Human Pose Estimation
C Ionescu, F Li, C Sminchisescu
Using fast weights to attend to the recent past
J Ba, GE Hinton, V Mnih, JZ Leibo, C Ionescu
Advances in neural information processing systems 29, 2016
Unsupervised learning of object keypoints for perception and control
TD Kulkarni, A Gupta, C Ionescu, S Borgeaud, M Reynolds, A Zisserman, ...
Advances in neural information processing systems 32, 2019
Unsupervised control through non-parametric discriminative rewards
D Warde-Farley, T Van de Wiele, T Kulkarni, C Ionescu, S Hansen, ...
arXiv preprint arXiv:1811.11359, 2018
Iterated second-order label sensitive pooling for 3d human pose estimation
C Ionescu, J Carreira, C Sminchisescu
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014
Training deep networks with structured layers by matrix backpropagation
C Ionescu, O Vantzos, C Sminchisescu
arXiv preprint arXiv:1509.07838, 2015
Random Fourier approximations for skewed multiplicative histogram kernels
F Li, C Ionescu, C Sminchisescu
Pattern Recognition, 262-271, 2010
Structural SVM for visual localization and continuous state estimation
C Ionescu, L Bo, C Sminchisescu
Computer Vision, 2009 IEEE 12th International Conference on, 1157-1164, 2009
Making sense of reinforcement learning and probabilistic inference
B O'Donoghue, I Osband, C Ionescu
arXiv preprint arXiv:2001.00805, 2020
Large-scale data-dependent kernel approximation
C Ionescu, A Popa, C Sminchisescu
Artificial Intelligence and Statistics, 19-27, 2017
Human3. 6M
C Ionescu, D Papava, V Olaru, C Sminchisescu
Ieee Transactions on Pattern Analysis and Machine intelligence, 1, 2014
Reinforcement learning neural networks grounded in learned visual entities
CD Ionescu, TD Kulkarni
US Patent 10,748,039, 2020
Feature-based pose estimation
C Sminchisescu, L Bo, C Ionescu, A Kanaujia
Visual Analysis of Humans: Looking at People, 225-251, 2011
HiP: Hierarchical Perceiver
J Carreira, S Koppula, D Zoran, A Recasens, C Ionescu, O Henaff, ...
arXiv preprint arXiv:2202.10890, 2022
Learning from One Continuous Video Stream
J Carreira, M King, V Patraucean, D Gokay, C Ionescu, Y Yang, D Zoran, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
Generating neural network outputs by cross attention of query embeddings over a set of latent embeddings
AC Jaegle, JB Alayrac, SBD Avocat, CD Ionescu, C Doersch, F Ding, ...
US Patent App. 18/284,595, 2024
Predicting protein amino acid sequences using generative models conditioned on protein structure embeddings
AW Senior, S Kohl, J Yim, RJ Bates, CD Ionescu, CTC Nash, ...
US Patent App. 18/275,933, 2024
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