Search Results for author: Viorica Patraucean

Found 11 papers, 4 papers with code

Spatio-temporal video autoencoder with differentiable memory

1 code implementation19 Nov 2015 Viorica Patraucean, Ankur Handa, Roberto Cipolla

At each time step, the system receives as input a video frame, predicts the optical flow based on the current observation and the LSTM memory state as a dense transformation map, and applies it to the current frame to generate the next frame.

Motion Estimation Optical Flow Estimation +2

SceneNet: Understanding Real World Indoor Scenes With Synthetic Data

1 code implementation22 Nov 2015 Ankur Handa, Viorica Patraucean, Vijay Badrinarayanan, Simon Stent, Roberto Cipolla

Scene understanding is a prerequisite to many high level tasks for any automated intelligent machine operating in real world environments.

Scene Understanding

Understanding Real World Indoor Scenes With Synthetic Data

no code implementations CVPR 2016 Ankur Handa, Viorica Patraucean, Vijay Badrinarayanan, Simon Stent, Roberto Cipolla

Scene understanding is a prerequisite to many high level tasks for any automated intelligent machine operating in real world environments.

Scene Understanding

gvnn: Neural Network Library for Geometric Computer Vision

1 code implementation25 Jul 2016 Ankur Handa, Michael Bloesch, Viorica Patraucean, Simon Stent, John McCormac, Andrew Davison

We introduce gvnn, a neural network library in Torch aimed towards bridging the gap between classic geometric computer vision and deep learning.

Image Reconstruction Visual Odometry

Massively Parallel Video Networks

no code implementations ECCV 2018 Joao Carreira, Viorica Patraucean, Laurent Mazare, Andrew Zisserman, Simon Osindero

We introduce a class of causal video understanding models that aims to improve efficiency of video processing by maximising throughput, minimising latency, and reducing the number of clock cycles.

Action Recognition Temporal Action Localization +1

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