Search
Results
-
Anchored Neighborhood Regression for Fast Example-Based Super-Resolution
(2013)2013 IEEE International Conference on Computer VisionConference Paper -
Learned Collaborative Representations for Image Classification
(2015)2015 IEEE Winter Conference on Applications of Computer Vision (WACV) 5 - 9 Jan. 2015, Waikoloa Beach, HawaiiConference Paper -
Integrating Object Detection with 3D Tracking Towards a Better Driver Assistance System
(2010)20th International Conference on Pattern Recognition (ICPR), 2010 : 23 - 26 Aug. 2010, Istanbul, Turkey ; proceedingsConference Paper -
Night-to-Day Image Translation for Retrieval-based Localization
(2019)2019 International Conference on Robotics and Automation (ICRA)Conference Paper -
Handling Occlusions with Franken-classifiers
(2013)Computer Vision (ICCV), 2013 IEEE International Conference onConference Paper -
Iterative Nearest Neighbors for classification and dimensionality reduction
(2012)Conference Paper -
SRFlow: Learning the Super-Resolution Space with Normalizing Flow
(2020)Lecture Notes in Computer Science ~ Computer Vision – ECCV 2020 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part VConference Paper -
ComboGAN: Unrestrained scalability for image domain translation
(2018)2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)Conference Paper -
NTIRE 2018 Challenge on Image Dehazing: Methods and Results
(2018)2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)Conference Paper -
Same Same but Different: Augmentation of Tiny Industrial Datasets using Generative Adversarial Networks
(2020)2020 7th Swiss Conference on Data Science (SDS)The evolution of generative adversarial networks has permitted the generation of realistic fake images which, in some cases, are indistinguishable from the real ones. Many recent works in image generation focus on learning internal image statistics via training only on a single natural image. While natural images exhibit a variability in their attributes, industrial images are often acquired in a controlled environment following a specific ...Conference Paper