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Catalin Ionescu
Catalin Ionescu
DeepMind
Dirección de correo verificada de google.com - Página principal
Título
Citado por
Citado por
Año
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
35172014
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
5052021
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
3182015
Latent Structured Models for Human Pose Estimation
C Ionescu, F Li, C Sminchisescu
317*
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
2682016
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
2072019
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
1782018
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
1062014
Training deep networks with structured layers by matrix backpropagation
C Ionescu, O Vantzos, C Sminchisescu
arXiv preprint arXiv:1509.07838, 2015
962015
Random Fourier approximations for skewed multiplicative histogram kernels
F Li, C Ionescu, C Sminchisescu
Pattern Recognition, 262-271, 2010
892010
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
512009
Making sense of reinforcement learning and probabilistic inference
B O'Donoghue, I Osband, C Ionescu
arXiv preprint arXiv:2001.00805, 2020
442020
Large-scale data-dependent kernel approximation
C Ionescu, A Popa, C Sminchisescu
Artificial Intelligence and Statistics, 19-27, 2017
122017
Human3. 6M
C Ionescu, D Papava, V Olaru, C Sminchisescu
Ieee Transactions on Pattern Analysis and Machine intelligence, 1, 2014
112014
Reinforcement learning neural networks grounded in learned visual entities
CD Ionescu, TD Kulkarni
US Patent 10,748,039, 2020
92020
Feature-based pose estimation
C Sminchisescu, L Bo, C Ionescu, A Kanaujia
Visual Analysis of Humans: Looking at People, 225-251, 2011
92011
HiP: Hierarchical Perceiver
J Carreira, S Koppula, D Zoran, A Recasens, C Ionescu, O Henaff, ...
arXiv preprint arXiv:2202.10890, 2022
42022
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
12024
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
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
2024
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Artículos 1–20