Listed are the ULTRACEPT project’s publications in scientific journals and conference papers. Please see here for publications in the media.
Articles in Journals
Dewi, C.; Chen, R.-C.; Zhuang, Y.-C.; Jiang, X.; Yu, H. Recognizing Road Surface Traffic Signs Based on Yolo Models Considering Image Flips. Big Data Cogn. Comput. 2023, 7, 54. https://doi.org/10.3390/bdcc7010054
Harper, Thomas, Nemirovsky, Sergio Iván, Tomsic, Daniel, Sztarker, Julieta. Predatory behavior under monocular and binocular conditions in the semiterrestrial crab Neohelice granulata. Front. Behav. Neurosci. 2023;17:1-11.http://dx.doi.org/10.3389/fnbeh.2023.1186518
A. Nienkötter and X. Jiang, Kernel-Based Generalized Median Computation for Consensus Learning, in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 45, no. 5, pp. 5872-5888, 1 May 2023, doi: 10.1109/TPAMI.2022.3202565.
Barnatan Yair, Tomsic Daniel, Cámera Alejandro and Sztarker Julieta Matched function of the neuropil processing optic flow in flies and crabs: the lobula plate mediates optomotor responses in Neohelice granulata, Royal Society Publishing. 289(1981):1-35, 2022 http://doi.org/10.1098/rspb.2022.0812
Dewi, C.; Chen, R.-C.; Chang, C.-W.; Wu, S.-H.; Jiang, X.; Yu, H. Eye Aspect Ratio for Real-Time Drowsiness Detection to Improve Driver Safety. Electronics 2022, 11, 3183. https://doi.org/10.3390/electronics11193183
H. Wang, J. Zhao, H. Wang, C. Hu, J. Peng and S. Yue (2022) Attention and Prediction-Guided Motion Detection for Low-Contrast Small Moving Targets, in IEEE Transactions on Cybernetics, https://doi.org/10.1109/TCYB.2022.3170699
(2022). Adjusting eye aspect ratio for strong eye blink detection based on facial landmarks. PeerJ Computer Science 8:e943 https://doi.org/10.7717/peerj-cs.943
Luan H, Fu Q, Zhang Y, Hua M, Chen S and Yue S (2022), A Looming Spatial Localization Neural Network Inspired by MLG1 Neurons in the Crab Neohelice. Front. Neurosci. 15:787256. https://doi.org/10.3389/fnins.2021.787256
F. Lei, Z. Peng, M. Liu, J. Peng, V. Cutsuridis and S. Yue (2022), A Robust Visual System for Looming Cue Detection Against Translating Motion, in IEEE Transactions on Neural Networks and Learning Systems, pp. 1-15 https://doi.org/10.1109/TNNLS.2022.3149832.
Bahrami, S., Doraisamy, S., Azman, A., Nasharuddin, N.A., Yue, S. (2022). CNN Architectures for Road Surface Wetness Classification from Acoustic Signals. In: Alfred, R., Lim, Y. (eds) Proceedings of the 8th International Conference on Computational Science and Technology. Lecture Notes in Electrical Engineering, vol 835. Springer, Singapore. https://doi.org/10.1007/978-981-16-8515-6_59
Xuelong Sun, Shigang Yue, Michael Mangan How the insect central complex could coordinate multimodal navigation. eLife 10:e73077. https://doi.org/10.7554/eLife.73077
Dewi, C., Chen, RC., Yu, H. et al. (2021) Robust detection method for improving small traffic sign recognition based on spatial pyramid pooling. J Ambient Intell Human Comput. https://doi.org/10.1007/s12652-021-03584-0
Liu, Tian, Sun, Xuelong, Hu, Cheng et al (2021) A Multiple Pheromone Communication System for Swarm Intelligence. IEEE Access, 9 . pp. 148721-148737. ISSN 2169-3536 https://doi.org/10.1109/ACCESS.2021.3124386.
J. Zhao, H. Wang, N. Bellotto, C. Hu, J. Peng and S. Yue, Enhancing LGMD’s Looming Selectivity for UAV With Spatial-Temporal Distributed Presynaptic Connections, in IEEE Transactions on Neural Networks and Learning Systems, https://doi.org/10.1109/TNNLS.2021.3106946
Isakhani Hamid, Yue Shigang, Xiong Caihua, Chen Wenbin (2021) Aerodynamic Analysis and Optimization of Gliding Locust Wing Using Nash Genetic Algorithm. AIAA Journal, 59 (10). pp. 4002-4013. ISSN 0001-1452 https://doi.org/10.2514/1.J060298
C. Dewi, R. C. Chen, Y. T. Liu, X. Jiang and K. D. Hartomo, Yolo V4 for Advanced Traffic Sign Recognition With Synthetic Training Data Generated by Various GAN, in IEEE Access, vol. 9, pp. 97228-97242, 2021, https://doi.org/10.1109/ACCESS.2021.3094201.
Hamid Isakhani, Nicola Bellotto, Qinbing Fu, Shigang Yue, Generative design and fabrication of a locust-inspired gliding wing prototype for micro aerial robots, Journal of Computational Design and Engineering, Volume 8, Issue 5, October 2021, Pages 1191–1203, https://doi.org/10.1093/jcde/qwab040
Hamid Isakhani, Xiong Caihua, Chen Wenbin and Yue Shigang 2021. Towards locust-inspired gliding wing prototypes for micro aerial vehicle applications. R. Soc. open sci.8202253202253
http://doi.org/10.1098/rsos.202253
Fu, Qinbing, Sun, Xuelong, liu, Tian et al, Robustness of Bio-Inspired Visual Systems for Collision Prediction in Critical Robot Traffic. Frontiers in Robotics and AI, 8, p. 529872, 2021. ISSN 22969144. https://doi.org/10.3389/frobt.2021.529872
H. Wang, H. Wang, J. Zhao, C. Hu, J. Peng and S. Yue, A Time-Delay Feedback Neural Network for Discriminating Small, Fast-Moving Targets in Complex Dynamic Environments, in IEEE Transactions on Neural Networks and Learning Systems, 2021, https://doi.org/10.1109/TNNLS.2021.3094205
Andreakos, N., Yue, S. & Cutsuridis, V. Quantitative investigation of memory recall performance of a computational microcircuit model of the hippocampus. Brain Inf. 8, 9, 2021. https://doi.org/10.1186/s40708-021-00131-7
Huatian Wang, Qinbing Fu, Honxing Wang, Paul Baxter, Jigen Peng, Shigang Yue, A bioinspired angular velocity decoding neural network model for visually guided flights, Neural Networks, 2020, ISSN 0893-6080, https://doi.org/10.1016/j.neunet.2020.12.008.
Xiao J, Jia Y, Jiang X, Wang S Circular complex-valued GMDH-type neural network for real-valued classification problems in IEEE Transactions on Neural Networks and Learning Systems, vol. 31, no. 12, pp. 5285-5299, Dec. 2020, https://doi.org/10.1109/TNNLS.2020.2966031.
C. Hu, C. Xiong, J. Peng and S. Yue, Coping With Multiple Visual Motion Cues Under Extremely Constrained Computation Power of Micro Autonomous Robots, in IEEE Access, vol. 8, pp. 159050-159066, 2020, https://doi.org/10.1109/ACCESS.2020.3016893.
Xuelong Sun, Shigang Yue, Michael Mangan, A decentralised neural model explaining optimal integration of navigational strategies in insects. eLife Sciences eLife 2020;9:e5402 10.7554/eLife.54026 https://doi.org/10.7554/eLife.54026
Qinbing Fu, Huatian Wang, Jigen Peng and Shigang Yue, Improved Collision Perception Neuronal System Model with Adaptive Inhibition Mechanism and Evolutionary Learning, IEEE Access Volume 8, 10 June 2020. https://doi.org/10.1109/ACCESS.2020.3001396 2169-3536.
Fu, Q., Yue, S. Modelling Drosophila motion vision pathways for decoding the direction of translating objects against cluttered moving backgrounds, Biol Cybern 114, 443–460, 2020. https://doi.org/10.1007/s00422-020-00841-x
Xiao J, Tian Y, Xie L, Jiang X, Huang J A hybrid classification framework based on clustering. IEEE Transactions on Industrial Informatics, 16 (4), p. 2177-2188, 2020. https://doi.org/10.1109/TII.2019.2933675
Q. Fu, H. Wang, C. Hu, S. Yue, Towards Computational Models and Applications of Insect Visual Systems for Motion Perception: A Review, Artificial Life, 25(3), 263-311, 2019 https://doi.org/10.1162/artl_a_00297
Daqi Liu, Nicola Bellotto, Shigang Yue, Deep Spiking Neural Network for Video-Based Disguise Face Recognition Based on Dynamic Facial Movements. IEEE Transactions on Neural Networks and Learning Systems, pp. 1 – 10, 19 July 2019, https://doi.org/10.1109/TNNLS.2019.2927274. https://doi.org/10.1109/ICARM.2019.8833989
Hongxin Wang, Jigen Peng, Xuqiang Zheng and Shigang Yue, A Robust Visual System for Small Target Motion Detection Against Cluttered Moving Backgrounds. IEEE Transactions on Neural Networks and Learning Systems, 2019. ISSN: 2162-2388 https://doi.org/10.1109/TNNLS.2019.2910418.
Qinbing Fu, Cheng Hu, Jigen Peng, F, Claire Rind and Shigang Yue, A Robust Collision Perception Visual Neural Network with Specific Selectivity to Darker Objects. IEEE Transactions on Cybernetics, 2019. https://doi.org/10.1109/TCYB.2019.2946090
Conference Papers
Zhang, J., Liu, CL., Jiang, X. (2023). Quadratic Kernel Learning for Interpolation Kernel Machine Based Graph Classification. In: Vento, M., Foggia, P., Conte, D., Carletti, V. (eds) Graph-Based Representations in Pattern Recognition. GbRPR 2023. Lecture Notes in Computer Science, vol 14121. Springer, Cham. https://doi.org/10.1007/978-3-031-42795-4_1
F. Eilers and X. Jiang, Building Blocks for a Complex-Valued Transformer Architecture, ICASSP 2023 – 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, 2023, pp. 1-5, doi: 10.1109/ICASSP49357.2023.10095349.
Golfidis, A.; Vinos, M.; Vassilopoulos, N.; Papadaki, E.; Skaliora, I. and Cutsuridis, V. (2023). Machine Learning Algorithms for Mouse LFP Data Classification in Epilepsy. In Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) – BIOSIGNALS; ISBN 978-989-758-631-6; ISSN 2184-4305, SciTePress, pages 36-47. DOI: 10.5220/0011625600003414
L. Zhang, K. Bai, Z. Chen, Y. Shi and J. Zhang, Towards Precise Model-free Robotic Grasping with Sim-to-Real Transfer Learning, 2022 IEEE International Conference on Robotics and Biomimetics (ROBIO), Jinghong, China, 2022, pp. 1-8, https://10.1109/ROBIO55434.2022.10011794
H. Luan, M. Hua, J. Peng, S. Yue, S. Chen and Q. Fu, Accelerating Motion Perception Model Mimics the Visual Neuronal Ensemble of Crab, 2022 International Joint Conference on Neural Networks (IJCNN), Padua, Italy, 2022, pp. 1-8, https://10.1109/IJCNN55064.2022.9892540.
Yicheng Zhang, Jiannan Zhao, Mu Hua, Hao Luan, Mei Liu, Fang Lei, Heriberto Cuayahuitl, and Shigang Yue (2022) OLGMD: An Opponent Colour LGMD-based Model for Collision Detection with Thermal Images at Night. In: 31st International Conference on Artificial Neural Networks, September 6 to September 9, 2022, Bristol, UK. https://doi.org/10.1007/978-3-031-15934-3_21
F. Lei, A Bio-inspired Dark Adaptation Framework for Low-light Image Enhancement, 2022 International Joint Conference on Neural Networks (IJCNN), Padua, Italy, 2022, pp. 1-8, https://10.1109/IJCNN55064.2022.9892877
Yunlei Shi, Zhaopeng Chen, Lin Cong, Yansong Wu, Martin Craiu-M¨uller, Chengjie Yuan, Chunyang Chang, Lei Zhang, Jianwei Zhang. Maximizing the Use of Environmental Constraints: A Pushing Based Hybrid Position/Force Assembly Skill for Contact-Rich Tasks. Proceedings of the 2021 IEEE International Conference on Robotics and Biomimetics December 27-31, 2021, Sanya, China https://10.1109/ROBIO54168.2021.9739349
Yicheng Zhang, Cheng Hu, Mei Liu, Hao Luan, Fang Lei, Heriberto Cuayahuitl and Shigang Yue. Temperature-based Collision Detection in Extreme Low Light Condition with Bio-inspired LGMD Neural Network.
Journal of Physics: Conference Series, Volume 2224, 2021 2nd International Symposium on Automation, Information and Computing (ISAIC 2021) 03/12/2021 – 06/12/2021 Online, https://doi.org/10.1088/1742-6596/2224/1/012004
- Read the blog post about this ISAIC 2021 conference publication by Yicheng Zhang and colleagues here.
Zhang, J., Liu, CL., Jiang, X. (2022). Interpolation Kernel Machine and Indefinite Kernel Methods for Graph Classification. In: El Yacoubi, M., Granger, E., Yuen, P.C., Pal, U., Vincent, N. (eds) Pattern Recognition and Artificial Intelligence. ICPRAI 2022. Lecture Notes in Computer Science, vol 13364. Springer, Cham. https://doi.org/10.1007/978-3-031-09282-4_39
- Read the blog post about this publication by Jiaqi Zhang including her secondment and conference attendance here.
Winter D., Bian A., Jiang X. (2021) Layer-Wise Relevance Propagation Based Sample Condensation for Kernel Machines. In: Tsapatsoulis N., Panayides A., Theocharides T., Lanitis A., Pattichis C., Vento M. (eds) Computer Analysis of Images and Patterns. CAIP 2021. Lecture Notes in Computer Science, vol 13052. Springer, Cham. https://doi.org/10.1007/978-3-030-89128-2_47
Leonardo Blanger, Nina S. T. Hirata, & Xiaoyi Jiang. (2021, November 2). Reducing the need for bounding box annotations in object detection using image classification data. https://doi.org/10.5281/zenodo.5639832
Yunlei Shi, Zhaopeng Chen, Yansong Wu, Dimitri Henkel, Sebastian Riedel, Hongxu Liu, Qian Feng, Jianwei Zhang, Combining Learning from Demonstration with Learning by Exploration to Facilitate Contact-Rich Tasks, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021, pp. 1062-1069, https://doi.org/10.1109/IROS51168.2021.9636417
- Read the blog post about this IROS 2021 conference publication by Yunlei Shi and colleagues here.
M. Hua, Q. Fu, W. Duan and S. Yue, Investigating Refractoriness in Collision Perception Neuronal Model, 2021 International Joint Conference on Neural Networks (IJCNN), 2021, pp. 1-8, https://doi.org/10.1109/IJCNN52387.2021.9533965
- Read the blog post about this IJCNN 2021 conference publication by Mu Hua here.
Liu Tian, Sun Xuelong, Hu Cheng, Yue Shigang (2021) A Versatile Vision-Pheromone-Communication Platform for Swarm Robotics. In: 2021 IEEE International Conference on Robotics and Automation (ICRA), 30 May-5 June 2021, Xi’an, China. https://doi.org/10.1109/ICRA48506.2021.9561911
Shi, Yunlei and Chen, Zhaopeng and Liu, Hongxu and Riedel, Sebastian and Gao, Chunhui and Feng, Qian and Deng, Jun and Zhang, Jianwei. Proactive Action Visual Residual Reinforcement Learning for Contact-Rich Tasks Using a Torque-Controlled Robot, 2021 IEEE International Conference on Robotics and Automation (ICRA), 2021, pp. 765-771, https://doi.org/10.1109/ICRA48506.2021.9561162
Jonetzko Y., Fiedler N., Eppe M., Zhang J. 2021. Multimodal Object Analysis with Auditory and Tactile Sensing Using Recurrent Neural Networks. In: Sun F., Liu H., Fang B. (eds) Cognitive Systems and Signal Processing. ICCSIP 2020. Communications in Computer and Information Science, vol 1397. Springer, Singapore. https://doi.org/10.1007/978-981-16-2336-3_23
Siavash Bahrami, Shyamala Doraisamy, Azreen Azman, Nurul Amelina Nasharuddin, and Shigang Yue. 2020. Acoustic Feature Analysis for Wet and Dry Road Surface Classification Using Two-stream CNN. In 2020 4th International Conference on Computer Science and Artificial Intelligence (CSAI 2020). Association for Computing Machinery, New York, NY, USA, 194–200. https://doi.org/10.1145/3445815.3445847
S. Li et al., A Mobile Robot Hand-Arm Teleoperation System by Vision and IMU, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, NV, USA, 2020, pp. 10900-10906, https://doi.org/10.1109/IROS45743.2020.9340738.
H. Liang et al., Robust Robotic Pouring using Audition and Haptics, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, NV, USA, 2020, pp. 10880-10887, https://doi.org/10.1109/IROS45743.2020.9340859.
H. Isakhani, S. Yue, C. Xiong, W. Chen, X. Sun and T. Liu, Fabrication and Mechanical Analysis of Bioinspired Gliding-optimized Wing Prototypes for Micro Aerial Vehicles, 2020 5th International Conference on Advanced Robotics and Mechatronics (ICARM), Shenzhen, China, 2020, pp. 602-608, https://doi.org/10.1109/ICARM49381.2020.9195392.
T. Liu, X. Sun, C. Hu, Q. Fu, H. Isakhani and S. Yue, Investigating Multiple Pheromones in Swarm Robots – A Case Study of Multi-Robot Deployment, 2020 5th International Conference on Advanced Robotics and Mechatronics (ICARM), Shenzhen, China, 2020, pp. 595-601, https://doi.org/10.1109/ICARM49381.2020.9195311.
Q. Fu and S. Yue, Complementary Visual Neuronal Systems Model for Collision Sensing, 2020 5th International Conference on Advanced Robotics and Mechatronics (ICARM), Shenzhen, China, 2020, pp. 609-615, https://doi.org/10.1109/ICARM49381.2020.9195303.
- Read the blog post about the 5th International Conference on Advanced Robotics and Mechatronics (ICARM) conference that Tian Liu, Xuelong Sun and Dr Qinbing Fu attended in December 2020 in Shenzhen, China.
Andreakos N., Yue S., Cutsuridis V. (2020) Recall Performance Improvement in a Bio-Inspired Model of the Mammalian Hippocampus. In: Mahmud M., Vassanelli S., Kaiser M.S., Zhong N. (eds) Brain Informatics. BI 2020. Lecture Notes in Computer Science, vol 12241. Springer, Cham. https://doi.org/10.1007/978-3-030-59277-6_29
Andreakos N., Yue S., Cutsuridis V. (2020) Improving Recall in an Associative Neural Network Model of the Hippocampus. In: Vouloutsi V., Mura A., Tauber F., Speck T., Prescott T.J., Verschure P.F.M.J. (eds) Biomimetic and Biohybrid Systems. Living Machines 2020. Lecture Notes in Computer Science, vol 12413. Springer, Cham. https://doi.org/10.1007/978-3-030-64313-3_1
H. Isakhani, C. Xiong, S. Yue and W. Chen, “A Bioinspired Airfoil Optimization Technique Using Nash Genetic Algorithm,” 2020 17th International Conference on Ubiquitous Robots (UR), Kyoto, Japan, 2020, pp. 506-513, https://doi.org/10.1109/UR49135.2020.9144868.
Q. Feng, Z. Chen, J. Deng, C. Gao, J. Zhang and A. Knoll, Center-of-Mass-based Robust Grasp Planning for Unknown Objects Using Tactile-Visual Sensors, 2020 IEEE International Conference on Robotics and Automation (ICRA), Paris, France, 2020, pp. 610-617, https://doi.org/10.1109/ICRA40945.2020.9196815.
F. Lei, Z. Peng, V. Cutsuridis, M. Liu, Y. Zhang and S. Yue, Competition between ON and OFF Neural Pathways Enhancing Collision Selectivity, 2020 International Joint Conference on Neural Networks (IJCNN), Glasgow, United Kingdom, 2020, pp. 1-8, https://doi.org/10.1109/IJCNN48605.2020.9207131.
Ruituo Jiang, Xu Li, Shaohui Mei, Lixin Li, Shigang Yue, Lei Zhang (2019). Learning spatial and spectral features via 2D-1D generative adversarial network for hyperspectral image super-resolution. The 2019 IEEE International Conference on Image Processing (ICIP2019), pp. 2149-2153, 22-25 September 2019, Taipei, Taiwan. https://doi.org/10.1109/ICIP.2019.8803200
H. Wang, J. Peng, Q. Fu, H. Wang, S. Yue (2019) Visual cue integration for small target motion detection in natural cluttered backgrounds. IEEE International Joint Conference on Neural Networks (IJCNN), 2019 https://doi.org/10.1007/978-3-030-19823-7_5
- Read the blog post of Hongxin Wang presenting this paper at the IJCNN Conference here.
H. Wang, Q. Fu, H. Wang, J. Peng, P. Baxter, C. Hu, S. Yue (2019) Angular velocity estimation of image motion mimicking the honeybee tunnel centring behaviour. IEEE International Joint Conference on Neural Networks (IJCNN), 14-19 July 2019. https://doi.org/10.1109/IJCNN.2019.8852321
- Read the blog post of Huatian Wang presenting this paper at the IJCNN Conference here.
Xuelong Sun; Tian Liu; Cheng Hu; Qinbing Fu; Shigang Yue (2019) ColCOS Φ: A Multiple Pheromone Communication System for Swarm Robotics and Social Insects Research. 2019 IEEE 4th International Conference on Advanced Robotics and Mechatronics (ICARM), 3-5 July 2019, Toyonaka, Japan
- Read the blog post of Tian Liu presenting this paper at the ICARM conference here.
J. Zhao, X. Ma, Q. Fu, C. Hu, S. Yue (2019) An LGMD based competitive collision avoidance strategy for UAV.15th International Conference on Artificial Intelligence Applications and Innovations (AIAI). April 2019. https://doi.org/10.1007/978-3-030-19823-7_6
- Read the blog post of Jiannan Zhao presenting this paper at the AIAI conference here.
Q. Fu, N. Bellotto, H. Wang, F. C. Rind, H. Wang, S. Yue (2019) A visual neural network for robust collision perception in vehicle driving scenarios. 15th International Conference on Artificial Intelligence Applications and Innovations (AIAI), 2019 https://doi.org/10.1007/978-3-030-19823-7_5
Ruituo Jiang, Xu Li, Ang Gao, Lixin Li, Hongying Meng, Shigang Yue, Lei Zhang (2019). Learning spectral and spatial features based on generative adversarial network for hyperspectral image super-resolution. The 2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS2019), pp. 3161-3164, 28 July – 2 August 2019, Yokohama, Japan. https://doi.org/10.1109/IGARSS.2019.8900228
H. Wang, Q. Fu, H. Wang, J. Peng, S. Yue (2019). Constant angular velocity regulation for visually guided terrain following. 15th International Conference on Artificial Intelligence Applications and Innovations (AIAI), 2019. https://doi.org/10.1007/978-3-030-19823-7_50
- Read the blog post of Hongxin Wang presenting this paper at the AIAI conference here.