Követés
Kailun Yang
Kailun Yang
Professor. School of Robotics, Hunan University (HNU); KIT; UAH; ZJU
E-mail megerősítve itt: hnu.edu.cn - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
4572019
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
346*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
1712020
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
1622022
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
1602022
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
1232019
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
1182018
PASS: Panoramic annular semantic segmentation
K Yang, X Hu, LM Bergasa, E Romera, K Wang
IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2019
1112019
Delivering arbitrary-modal semantic segmentation
J Zhang, R Liu, H Shi, K Yang, S Reiß, K Peng, H Fu, K Wang, ...
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
1042023
Expanding the detection of traversable area with RealSense for the visually impaired
K Yang, K Wang, W Hu, J Bai
Sensors, 2016
1042016
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
1032019
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
1002022
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
992022
TransKD: Transformer knowledge distillation for efficient semantic segmentation
R Liu, K Yang, A Roitberg, J Zhang, K Peng, H Liu, Y Wang, ...
IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2024
93*2024
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
882022
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
882021
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
862021
Polarization-driven semantic segmentation via efficient attention-bridged fusion
K Xiang, K Yang, K Wang
Optics Express (OE), 2021
852021
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
732019
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
642017
A rendszer jelenleg nem tudja elvégezni a műveletet. Próbálkozzon újra később.
Cikkek 1–20