Song Tang
Song Tang
Потвърден имейл адрес: uni-hamburg.de
Pointnetgpd: Detecting grasp configurations from point sets
H Liang, X Ma, S Li, M Görner, S Tang, B Fang, F Sun, J Zhang
2019 International Conference on Robotics and Automation (ICRA), 3629-3635, 2019
Hyperchaos and horseshoe in a 4D memristive system with a line of equilibria and its implementation
Q Li, S Hu, S Tang, G Zeng
International Journal of Circuit Theory and Applications 42 (11), 1172-1188, 2014
On hyperchaos in a small memristive neural network
Q Li, S Tang, H Zeng, T Zhou
Nonlinear Dynamics 78, 1087-1099, 2014
Accurate object detection using memory-based models in surveillance scenes
X Li, M Ye, Y Liu, F Zhang, D Liu, S Tang
Pattern Recognition 67, 73-84, 2017
New bifurcations in the simplest passive walking model
Q Li, S Tang, XS Yang
Chaos: An Interdisciplinary Journal of Nonlinear Science 23 (4), 2013
A new 4D hyperchaotic system with high complexity
L Chen, S Tang, Q Li, S Zhong
Mathematics and Computers in Simulation 146, 44-56, 2018
Object affordance based multimodal fusion for natural human-robot interaction
J Mi, S Tang, Z Deng, M Goerner, J Zhang
Cognitive Systems Research 54, 128-137, 2019
Algorithm for finding horseshoes in three-dimensional hyperchaotic maps and its application
QD Li, S Tang
Hyperchaotic set in continuous chaos–hyperchaos transition
Q Li, S Tang, XS Yang
Communications in Nonlinear Science and Numerical Simulation 19 (10), 3718-3734, 2014
Nearest Neighborhood-Based Deep Clustering for Source Data-absent Unsupervised Domain Adaptation
S Tang, Y Yang, Z Ma, N Hendrich, F Zeng, SS Ge, C Zhang, J Zhang
https://arxiv.org/abs/2107.12585, 2021
Semantic consistency learning on manifold for source data-free unsupervised domain adaptation
S Tang, Y Zou, Z Song, J Lyu, L Chen, M Ye, S Zhong, J Zhang
Neural Networks 152, 467-478, 2022
Model Adaptation through Hypothesis Transfer with Gradual Knowledge Distillation
S Tang, Y Shi, Z Ma, J Li, J Lyu, Q Li, J Zhang
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
Adaptive pedestrian detection by predicting classifier
S Tang, M Ye, P Xu, X Li
Neural Computing and Applications 31 (4), 1189-1200, 2019
Intention-Related Natural Language Grounding via Object Affordance Detection and Intention Semantic Extraction
J Mi, H Liang, N Katsakis, T Song*, Q Li, C Zhang, J Zhang
Frontiers in Neurorobotics 14, 2020
Adaptive pedestrian detection using convolutional neural network with dynamically adjusted classifier
S Tang, M Ye, C Zhu, Y Liu
Journal of Electronic Imaging 26 (1), 013012-013012, 2017
Interactive Natural Language Grounding via Referring Expression Comprehension and Scene Graph Parsing
J Mi, J Lyu, S Tang, Q Li, J Zhang
Frontiers in Neurorobotics 14, 2020
Semi-supervised low-rank representation for image classification
C Yang, M Ye, S Tang, T Xiang, Z Liu
Signal, Image and Video Processing 11, 73-80, 2017
Memory-based object detection in surveillance scenes
X Li, M Ye, D Liu, F Zhang, S Tang
2016 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2016
Source-Free Domain Adaptation via Target Prediction Distribution Searching
S Tang, A Chang, F Zhang, X Zhu, M Ye, C Zhang
International Journal of Computer Vision 132, 654-672, 2023
A Memristor‐Based Bioinspired Multimodal Sensory Memory System for Sensory Adaptation of Robots
X Pan, J Wang, Z Deng, Y Shuai, W Luo, W Luo, Q Xie, Y Xiao, S Tang, ...
Advanced Intelligent Systems, 2200031, 2022
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