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Kailun Yang
Kailun Yang
Professor. School of Robotics, Hunan University (HNU); KIT; UAH; ZJU
Dirección de correo verificada de hnu.edu.cn - Página principal
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ACNet: Attention based network to exploit complementary features for RGBD semantic segmentation
X Hu, K Yang, L Fei, K Wang
IEEE International Conference on Image Processing (ICIP), 2019
3682019
CMX: Cross-modal fusion for RGB-X semantic segmentation with transformers
J Zhang, H Liu, K Yang, X Hu, R Liu, R Stiefelhagen
IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2023
186*2023
Real-time fusion network for RGB-D semantic segmentation incorporating unexpected obstacle detection for road-driving images
L Sun, K Yang, X Hu, W Hu, K Wang
IEEE Robotics and Automation Letters (RA-L), 2020
1462020
Unifying terrain awareness for the visually impaired through real-time semantic segmentation
K Yang, K Wang, LM Bergasa, E Romera, W Hu, D Sun, J Sun, R Cheng, ...
Sensors, 2018
1132018
Bridging the day and night domain gap for semantic segmentation
E Romera, LM Bergasa, K Yang, JM Alvarez, R Barea
IEEE Intelligent Vehicles Symposium (IV), 2019
1082019
MatchFormer: Interleaving attention in transformers for feature matching
Q Wang, J Zhang, K Yang, K Peng, R Stiefelhagen
Asian Conference on Computer Vision (ACCV), 2022
1042022
PASS: Panoramic annular semantic segmentation
K Yang, X Hu, LM Bergasa, E Romera, K Wang
IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2019
1032019
Expanding the detection of traversable area with RealSense for the visually impaired
K Yang, K Wang, W Hu, J Bai
Sensors, 2016
1012016
Event-based fusion for motion deblurring with cross-modal attention
L Sun, C Sakaridis, J Liang, Q Jiang, K Yang, P Sun, Y Ye, K Wang, ...
European Conference on Computer Vision (ECCV), 2022
922022
See clearer at night: Towards robust nighttime semantic segmentation through day-night image conversion
L Sun, K Wang, K Yang, K Xiang
Artificial Intelligence and Machine Learning in Defense Applications, 2019
912019
Bending reality: Distortion-aware transformers for adapting to panoramic semantic segmentation
J Zhang, K Yang, C Ma, S Reiß, K Peng, R Stiefelhagen
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
802022
Trans4Trans: Efficient transformer for transparent object segmentation to help visually impaired people navigate in the real world
J Zhang, K Yang, A Constantinescu, K Peng, K Müller, R Stiefelhagen
IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2021
762021
Capturing omni-range context for omnidirectional segmentation
K Yang, J Zhang, S Reiß, X Hu, R Stiefelhagen
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
762021
Review on panoramic imaging and its applications in scene understanding
S Gao, K Yang, H Shi, K Wang, J Bai
IEEE Transactions on Instrumentation and Measurement (TIM), 2022
652022
Unifying obstacle detection, recognition, and fusion based on millimeter wave radar and RGB-depth sensors for the visually impaired
N Long, K Wang, R Cheng, W Hu, K Yang
Review of Scientific Instruments (RSI), 2019
652019
Trans4Trans: Efficient transformer for transparent object and semantic scene segmentation in real-world navigation assistance
J Zhang, K Yang, A Constantinescu, K Peng, K Müller, R Stiefelhagen
IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2022
642022
Polarization-driven semantic segmentation via efficient attention-bridged fusion
K Xiang, K Yang, K Wang
Optics Express (OE), 2021
632021
Target enhanced 3D reconstruction based on polarization-coded structured light
X Huang, J Bai, K Wang, Q Liu, Y Luo, K Yang, X Zhang
Optics Express (OE), 2017
582017
Omnisupervised omnidirectional semantic segmentation
K Yang, X Hu, Y Fang, K Wang, R Stiefelhagen
IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2020
532020
DS-PASS: Detail-sensitive panoramic annular semantic segmentation through SwaftNet for surrounding sensing
K Yang, X Hu, H Chen, K Xiang, K Wang, R Stiefelhagen
IEEE Intelligent Vehicles Symposium (IV), 2020
512020
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