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Dengxin Dai
Dengxin Dai
Director of Computer Vision, Huawei Zurich Research Center
Bestätigte E-Mail-Adresse bei huawei.com - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Domain Adaptive Faster R-CNN for Object Detection in the Wild
Y Chen, W Li, C Sakaridis, D Dai, L Van Gool
CVPR: IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018
10422018
Semantic foggy scene understanding with synthetic data
C Sakaridis, D Dai, L Van Gool
IJCV: International Journal of Computer Vision, 2018
6952018
Multi-Task Learning for Dense Prediction Tasks: A Survey
S Vandenhende, S Georgoulis, M Proesmans, D Dai, L Van Gool
PAMI: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
373*2021
Fast Optical Flow using Dense Inverse Search
T Kroeger, R Timofte, D Dai, L Van Gool
ECCV: European Conference on Computer Vision, 2016
3412016
DLOW: Domain Flow and Applications
R Gong, W Li, Y Chen, D Dai, L Van Gool
IJCV: International Journal of Computer Vision, 1-24, 2021
295*2021
Satellite image classification via two-layer sparse coding with biased image representation
D Dai, W Yang
IEEE Geoscience and remote sensing letters 8 (1), 173-176, 2010
2482010
Jointly Optimized Regressors for Image Super-resolution
D Dai, R Timofte, L Van Gool
Computer Graphics Forum (Eurographics), 2015
1912015
End-to-End Learning of Driving Models with Surround-View Cameras and Route Planners
S Hecker, D Dai, L Van Gool
ECCV; European Conference on Computer Vision, 2018
1752018
Dark Model Adaptation: Semantic Image Segmentation from Daytime to Nighttime
D Dai, L Van Gool
IEEE International Conference on Intelligent Transportation Systems (ITSC), 2018
1722018
Model Adaptation with Synthetic and Real Data for Semantic Dense Foggy Scene Understanding
C Sakaridis, D Dai, S Hecker, L Van Gool
Proceedings of the European Conference on Computer Vision (ECCV), 687-704, 2018
1562018
Guided Curriculum Model Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation
C Sakaridis, D Dai, L Van Gool
International Conference on Computer Vision (ICCV), 2019
152*2019
Latent Dictionary Learning for Sparse Representation based Classification
M Yang, D Dai, L Shen, L Van Gool
CVPR: IEEE Conference on Computer Vision and Pattern Recognition, 2014
1412014
Learning high-level features for satellite image classification with limited labeled samples
W Yang, X Yin, GS Xia
IEEE Transactions on Geoscience and Remote Sensing 53 (8), 4472-4482, 2015
1392015
ACDC: The Adverse Conditions Dataset with Correspondences for Semantic Driving Scene Understanding
C Sakaridis, D Dai, L Van Gool
ICCV: International Conference on Computer Vision, 2021
1382021
Ensemble projection for semi-supervised image classification
D Dai, L Van Gool
ICCV: International Conference on Computer Vision, 2013
132*2013
DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation
L Hoyer, D Dai, L Van Gool
CVPR: IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
1212022
Is Image Super-resolution Helpful for Other Vision Tasks?
D Dai, Y Wang, Y Chen, L Van Gool
IEEE Winter Conference on Applications of Computer Vision (WACV), 2016
1172016
Polarimetric SAR image classification using multifeatures combination and extremely randomized clustering forests
T Zou, W Yang, D Dai, H Sun
EURASIP Journal on Advances in Signal Processing 2010, 1-9, 2010
113*2010
Domain generalization and adaptation using low rank exemplar svms
W Li, Z Xu, D Xu, D Dai, L Van Gool
PAMI: IEEE transactions on pattern analysis and machine intelligence, 2017
1112017
Curriculum model adaptation with synthetic and real data for semantic foggy scene understanding
D Dai, C Sakaridis, S Hecker, L Van Gool
IJCV: International Journal of Computer Vision 128 (5), 1182-1204, 2019
912019
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