Следене
Yun Liu
Yun Liu
Professor of Computer Science, Nankai University
Потвърден имейл адрес: nankai.edu.cn - Начална страница
Заглавие
Позовавания
Позовавания
Година
Structure-measure: A New Way to Evaluate Foreground Maps
DP Fan, MM Cheng, Y Liu, T Li, A Borji
IEEE International Conference on Computer Vision, 2017
18032017
Richer Convolutional Features for Edge Detection
Y Liu, MM Cheng, X Hu, JW Bian, L Zhang, X Bai, J Tang
IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE CVPR 2017), 2019
13772019
GMS: Grid-based Motion Statistics for Fast, Ultra-robust Feature Correspondence
JW Bian, WY Lin, Y Liu, L Zhang, SK Yeung, MM Cheng, I Reid
International Journal of Computer Vision, 2020
8312020
Crowd Counting With Deep Negative Correlation Learning
Z Shi, L Zhang, Y Liu, X Cao, Y Ye, MM Cheng, G Zheng
IEEE Conference on Computer Vision and Pattern Recognition, 2018
3162018
P2T: Pyramid Pooling Transformer for Scene Understanding
YH Wu#, Y Liu#, X Zhan, MM Cheng
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
2662022
SAMNet: Stereoscopically Attentive Multi-scale Network for Lightweight Salient Object Detection
Y Liu, XY Zhang, JW Bian, L Zhang, MM Cheng
IEEE Transactions on Image Processing, 2021
2092021
EDN: Salient Object Detection via Extremely-Downsampled Network
YH Wu#, Y Liu#, L Zhang, MM Cheng, B Ren
IEEE Transactions on Image Processing, 2022
1982022
Pyramid Constrained Self-Attention Network for Fast Video Salient Object Detection
Y Gu, L Wang, Z Wang, Y Liu, MM Cheng, SP Lu
AAAI Conference on Artificial Intelligence, 2020
1712020
Leveraging Instance-, Image-and Dataset-Level Information for Weakly Supervised Instance Segmentation
Y Liu, YH Wu, P Wen, Y Shi, Y Qiu, MM Cheng
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
1612020
MiniSeg: An Extremely Minimum Network for Efficient COVID-19 Segmentation
Y Qiu, Y Liu*, S Li, J Xu*
AAAI Conference on Artificial Intelligence, 2021
1592021
MobileSal: Extremely Efficient RGB-D Salient Object Detection
YH Wu, Y Liu, J Xu, JW Bian, Y Gu, MM Cheng
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
1532021
Rethinking Computer-aided Tuberculosis Diagnosis
Y Liu, YH Wu, Y Ban, H Wang, MM Cheng
IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
1382020
Nonlinear Regression via Deep Negative Correlation Learning
L Zhang, Z Shi, MM Cheng, Y Liu, JW Bian, JT Zhou, G Zheng, Z Zeng
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019
1332019
Multi-Level Context Ultra-Aggregation for Stereo Matching
GY Nie, MM Cheng, Y Liu, Z Liang, DP Fan, Y Liu, Y Wang
IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2019
1332019
Vision Transformers with Hierarchical Attention
Y Liu, YH Wu, G Sun, L Zhang, A Chhatkuli, L Van Gool
Machine Intelligence Research, 2024
127*2024
Lightweight Salient Object Detection via Hierarchical Visual Perception Learning
Y Liu, YC Gu, XY Zhang, W Wang, MM Cheng
IEEE Transactions on Cybernetics, 2020
1192020
DNA: Deeply-supervised Nonlinear Aggregation for Salient Object Detection
Y Liu, MM Cheng, XY Zhang, GY Nie, M Wang
IEEE Transactions on Cybernetics, 2021
1172021
Semantic Edge Detection with Diverse Deep Supervision
Y Liu, MM Cheng, DP Fan, L Zhang, JW Bian, D Tao
International Journal of Computer Vision, 2022
1162022
An Evaluation of Feature Matchers for Fundamental Matrix Estimation
JW Bian, YH Wu, J Zhao, Y Liu, L Zhang, MM Cheng, I Reid
British Machine Vision Conference, 2019
99*2019
Multi-scale Interaction for Real-time LiDAR Data Segmentation on an Embedded Platform
S Li, X Chen, Y Liu, D Dai, C Stachniss, J Gall
IEEE Robotics and Automation Letters, 2021
922021
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