IuliaDuta/RSTG
Recurrent Space-time Graph Neural Networks - RSTG · Citation · Overview · Installation · Checkpoints for pre-trained models · Something-Something Dataset.
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Recurrent Space-time Graph Neural Network - Iulia Duta
, Iulia Duţă. 1. , Marius Leordeanu. 1,2,3 [email protected], anicolicioiu ... RSTG: 1-temp-stage. 97.0. 74.1. RSTG: All-temp-stages. 98.9. 94.5. RSTG ...
Recurrent Space-time Graph Neural Networks - Papers With Code
PDF Abstract NeurIPS 2019 PDF NeurIPS 2019 Abstract. Code. Edit. Add Remove Mark official. IuliaDuta/RSTG official. 38. IuliaDuta/RSTG official. 38. Tasks. Edit.
Recurrent Space-time Graph Neural Networks - Iulia Duta
Figure 1: The RSTG-to-map architecture: the input to RSTG is a feature volume, extracted by a backbone network, down-sampled according to each scale. Each node ...
The RSTG-to-map architecture: the input to RSTG is a feature volume
Iulia Duta · Marius Leordeanu. Learning in the space-time domain remains a very challenging problem in machine learning and ...
Figure 1 from Recurrent Space-time Graph Neural Networks
Iulia DutaAndrei Liviu Nicolicioiu. Computer Science. arXiv.org. 2020. TLDR ... Figure 1: The ...
The RSTG-to-map architecture: the input to RSTG is a feature volume
Iulia Duta · Marius Leordeanu. Visual learning in the space-time domain remains a very challenging problem in artificial ...
Iulia Duta on X: "We published a blog post on our new paper on ...
Iulia Duta · @DutaIulia. We published a blog post on our new ... Code: https://github.com/IuliaDuta/RSTG Paper: http://papers.nips.cc ...
[1904.05582] Recurrent Space-time Graph Neural Networks
Figure 1: The RSTG-to-map architecture: the input to RSTG is a feature volume ... IuliaDuta/RSTG. Input: Time-space features F ∈ ℝ T × H × W × C F ...
Discovering Dynamic Salient Regions for Spatio-Temporal Graph...
Iulia Duta, Andrei Liviu Nicolicioiu, Marius Leordeanu. Published: 09 Nov 2021, Last Modified: 05 May 2023NeurIPS 2021 PosterReaders: EveryoneShow ...
Discovering Dynamic Salient Regions for Spatio-Temporal Graph ...
RSTG [3]. Grid. 32. 49.2. 78.8. TSM+DyReg. Dynamic. 16. 49.9. 79.0. Table 4: Results ... [3] Andrei Nicolicioiu, Iulia Duta, and Marius Leordeanu. Recurrent ...
Human-Object Interaction Detection | Papers With Code
IuliaDuta/RSTG • • NeurIPS 2019. Our model is general and could learn to recognize a variety of high level spatio-temporal concepts and be applied to ...
PhD student @ Cambridge_CL - Citat de 77 - Graph Neural Networks - Machine Learning - Deep Learning - Artificial Intelligence
Boosting Video Representation Learning With Multi-Faceted ...
I3D+RSTG [39]. ImageNet+K400. 49.2. 78.8. –. –. GST [35]. ImageNet. 48.6. 77.9. 62.6 ... [39] Andrei Liviu Nicolicioiu, Iulia Duta, and Marius Leordeanu.
Unsupervised Learning in Space and Time: A Modern Approach for ...
... Iulia Duta, Andrei Nicolicioiu, Elena Burceanu, Alina Marcu, Dragos Costea ... Positional all-temp RSTG: This is the previous all-temp RSTG model but ...
Iulia Duta · @DutaIulia. ·. Nov 26, 2019. We published a blog post on our new ... Code: https://github.com/IuliaDuta/RSTG Paper: http://papers.nips.cc/paper ...
(PDF) Memory-Augmented Graph Neural Networks: A Neuroscience ...
... (RSTG) [46] Persistent Message Passing (PMP) [62] Temporal GN (TGN) [53] ... [46] Andrei Nicolicioiu, Iulia Duta, and Marius Leordeanu. Recurrent ...
The RSTG model takes full advantage of the space-time domain and proves its ... Nicolicioiu, Andrei, Iulia Duta, and Marius Leordeanu. “Recurrent Space ...
Boosting video representation learning with multi-faceted integration
I3D+RSTG [39]. ImageNet+K400. 49.2. 78.8. –. –. GST [35]. ImageNet. 48.6. 77.9. 62.6 ... [39] Andrei Liviu Nicolicioiu, Iulia Duta, and Marius Leordeanu.