Dengxin Dai
Dengxin Dai
MPI for Informatics & ETH Zurich
Verified email at ee.ethz.ch - Homepage
Title
Cited by
Cited by
Year
Domain Adaptive Faster R-CNN for Object Detection in the Wild
Y Chen, W Li, C Sakaridis, D Dai, L Van Gool
Computer Vision and Pattern Recognition (CVPR), 2018
4832018
Semantic foggy scene understanding with synthetic data
C Sakaridis, D Dai, L Van Gool
International Journal of Computer Vision (IJCV), 2018
2922018
Fast Optical Flow using Dense Inverse Search
T Kroeger, R Timofte, D Dai, L Van Gool
European Conference on Computer Vision (ECCV), 2016
2432016
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
1932010
Jointly Optimized Regressors for Image Super-resolution
D Dai, R Timofte, L Van Gool
Computer Graphics Forum (Eurographics), 2015
1712015
Latent Dictionary Learning for Sparse Representation based Classification
M Yang, D Dai, L Shen, L Van Gool
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014
1322014
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
128*2021
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
1232015
End-to-End Learning of Driving Models with Surround-View Cameras and Route Planners
S Hecker, D Dai, L Van Gool
Proceedings of the European Conference on Computer Vision (ECCV), 435-453, 2018
117*2018
Ensemble projection for semi-supervised image classification
D Dai, L Van Gool
International Conference on Computer Vision (ICCV), 2013
117*2013
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
107*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
822017
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
742018
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
722016
Dark Model Adaptation: Semantic Image Segmentation from Daytime to Nighttime
D Dai, L Van Gool
IEEE International Conference on Intelligent Transportation Systems (ITSC), 2018
702018
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
60*2019
Multilevel local pattern histogram for SAR image classification
D Dai, W Yang, H Sun
IEEE Geoscience and Remote Sensing Letters 8 (2), 225-229, 2010
602010
Unified Hypersphere Embedding for Speaker Recognition
M Hajibabaei, D Dai
arXiv preprint arXiv:1807.08312, 2018
572018
Curriculum model adaptation with synthetic and real data for semantic foggy scene understanding
D Dai, C Sakaridis, S Hecker, L Van Gool
International Journal of Computer Vision 128 (5), 1182-1204, 2019
562019
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
49*2021
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Articles 1–20