Silvia L. Pintea

Orcid: 0000-0002-2356-2140

According to our database1, Silvia L. Pintea authored at least 29 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Is there progress in activity progress prediction?
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

A step towards understanding why classification helps regression.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Objects do not disappear: Video object detection by single-frame object location anticipation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Deep vanishing point detection: Geometric priors make dataset variations vanish.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

NeRD++: Improved 3D-mirror symmetry learning from a single image.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Equal Bits: Enforcing Equally Distributed Binary Network Weights.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Resolution Learning in Deep Convolutional Networks Using Scale-Space Theory.
IEEE Trans. Image Process., 2021

Data-efficient learning for 3D mirror symmetry detection.
CoRR, 2021

Deep Continuous Networks.
Proceedings of the 38th International Conference on Machine Learning, 2021

Semi-Supervised Lane Detection With Deep Hough Transform.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

No Frame Left Behind: Full Video Action Recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Frequency learning for structured CNN filters with Gaussian fractional derivatives.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Deep Hough-Transform Line Priors.
Proceedings of the Computer Vision - ECCV 2020, 2020

Top-Down Networks: A coarse-to-fine reimagination of CNNs.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Divide and Count: Generic Object Counting by Image Divisions.
IEEE Trans. Image Process., 2019

2018
Asymmetric kernel in Gaussian Processes for learning target variance.
Pattern Recognit. Lett., 2018

Recurrent Knowledge Distillation.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Hand-Tremor Frequency Estimation in Videos.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Using Phase Instead of Optical Flow for Action Recognition.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017
One-Step Time-Dependent Future Video Frame Prediction with a Convolutional Encoder-Decoder Neural Network.
Proceedings of the Image Analysis and Processing - ICIAP 2017, 2017

Video Acceleration Magnification.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Large scale Gaussian Process for overlap-based object proposal scoring.
Comput. Vis. Image Underst., 2016

Featureless: Bypassing feature extraction in action categorization.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Making a Case for Learning Motion Representations with Phase.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

2014
Déjà Vu: - Motion Prediction in Static Images.
Proceedings of the Computer Vision - ECCV 2014, 2014

2013
The MediaMill at TRECVID 2013: : Searching concepts, Objects, Instances and events in video.
Proceedings of the 2013 TREC Video Retrieval Evaluation, 2013


2012
The MediaMill TRECVID 2012 Semantic Video Search Engine.
Proceedings of the 2012 TREC Video Retrieval Evaluation, 2012



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