Yang He (贺洋)
Yang He (贺洋)
Verified email at - Homepage
Cited by
Cited by
Vehicle type classification using a semisupervised convolutional neural network
Z Dong, Y Wu, M Pei, Y Jia
IEEE transactions on intelligent transportation systems 16 (4), 2247-2256, 2015
Image fusion using higher order singular value decomposition
J Liang, Y He, D Liu, X Zeng
IEEE transactions on Image Processing 21 (5), 2898-2909, 2012
Std2p: Rgbd semantic segmentation using spatio-temporal data-driven pooling
Y He, WC Chiu, M Keuper, M Fritz
Proceedings of the IEEE conference on computer vision and pattern …, 2017
Semantic projection network for zero-and few-label semantic segmentation
Y Xian, S Choudhury, Y He, B Schiele, Z Akata
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
Segmentations-leak: Membership inference attacks and defenses in semantic image segmentation
Y He, S Rahimian, B Schiele, M Fritz
European Conference on Computer Vision, 519-535, 2020
Beyond the spectrum: Detecting deepfakes via re-synthesis
Y He, N Yu, M Keuper, M Fritz
International Joint Conference on Artificial Intelligence (IJCAI), 2021
Learning dilation factors for semantic segmentation of street scenes
Y He, M Keuper, B Schiele, M Fritz
German Conference on Pattern Recognition, 41-51, 2017
Tensor decomposition-based color image watermarking
Y He, W Liang, J Liang, M Pei
Fifth International Conference on Graphic and Image Processing (ICGIP 2013 …, 2014
Online visual tracking by integrating spatio‐temporal cues
Y He, M Pei, M Yang, Y Wu, Y Jia
IET Computer Vision 9 (1), 124-137, 2015
ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training
HP Wang, SU Stich, Y He, M Fritz
ICML 2022 - International Conference on Machine Learning, 2022
Cossgd: Communicationefficient federated learning with a simple cosine-based quantization
Y He, HP Wang, M Fritz
1st NeurIPS Workshop on New Frontiers in Federated Learning (NFFL), 2021
Diverse conditional image generation by stochastic regression with latent drop-out codes
Y He, B Schiele, M Fritz
Proceedings of the European Conference on Computer Vision (ECCV), 406-421, 2018
Landmark-based inductive model for robust discriminative tracking
Y Wu, M Pei, M Yang, Y He, Y Jia
Asian Conference on Computer Vision, 320-335, 2014
Pedestrian detection using deep channel features in monocular image sequences
Z Liu, Y He, Y Xie, H Gu, C Liu, M Pei
International conference on neural information processing, 608-615, 2016
$$^ $$ Net for Generalized Zero-Label Semantic Segmentation
A Das, Y Xian, Y He, B Schiele, Z Akata
DAGM German Conference on Pattern Recognition, 235-249, 2021
Synthetic Convolutional Features for Improved Semantic Segmentation
Y He, B Schiele, M Fritz
European Conference on Computer Vision, 320-336, 2020
Visual tracking using multi-stage random simple features
Y He, Z Dong, M Yang, L Chen, M Pei, Y Jia
2014 22nd International Conference on Pattern Recognition, 4104-4109, 2014
Method for training a model to be used for processing images by generating feature maps
Y He, M Fritz, B Schiele, DO Reino
US Patent App. 17/614,903, 2022
TD-Road: Top-down road network extraction with holistic graph construction
Y He, R Garg, AR Chowdhury
European Conference on Computer Vision, 562-577, 2022
Journal: Lecture Notes in Computer Science Pattern Recognition, 2021, p. 235-249
A Das, Y Xian, Y He, B Schiele, Z Akata
Lecture Notes in Computer Science, 235-249, 2021
The system can't perform the operation now. Try again later.
Articles 1–20