| A systematic approach to testing and predicting light-material interactions F Zhang, H de Ridder, P Barla, S Pont Journal of Vision 19 (4), 11-11, 2019 | 30 | 2019 |
| The influence of lighting on visual perception of material qualities F Zhang, H De Ridder, S Pont Human Vision and Electronic Imaging XX 9394, 239-248, 2015 | 26 | 2015 |
| MatMix 1.0: Using optical mixing to probe visual material perception F Zhang, H de Ridder, RW Fleming, S Pont Journal of Vision 16 (6), 11-11, 2016 | 19 | 2016 |
| Asymmetric perceptual confounds between canonical lightings and materials F Zhang, H de Ridder, SC Pont Journal of Vision 18 (11), 11-11, 2018 | 13 | 2018 |
| Effects of light map orientation and shape on the visual perception of canonical materials F Zhang, H de Ridder, P Barla, S Pont Journal of vision 20 (4), 13-13, 2020 | 12 | 2020 |
| Continuous action with a neurobiologically inspired computational approach reveals the dynamics of selection history M Makwana, F Zhang, D Heinke, JH Song PLoS Computational Biology 19 (7), e1011283, 2023 | 8 | 2023 |
| Neurobiologically inspired robotics model: underlying mechanisms for target selection biases from a recent experience of goal-directed action F Zhang, M Makwana, JH Song, D Heinke Journal of Vision 22 (14), 3346-3346, 2022 | 3 | 2022 |
| Reveal the Distractions of the Irrelevant Features using a Neurobiologically Plausible Cognitive Robotics Model M Patil, D Heinke, F Zhang International Conference on Robot Intelligence Technology and Applications …, 2023 | 2 | 2023 |
| Towards an interactive material probe for visual perception studies F Zhang, H de Ridder, S Pont Proceedings of EXPERIENCING LIGHT 20014, 119-119, 2014 | 1 | 2014 |
| Computational modelling reveals the influence of object similarity and proximity on visually guided movements M Patil, D Heinke, F Zhang PeerJ, e18953, 2025 | | 2025 |
| Towards Modelling Human Driving: Testing the Influence of Driving Mode and Distraction Types in a VR Simulator J Liu, Y Li, F Zhang 12th International Symposium of Chinese CHI, Chinese CHI 2024, 2024 | | 2024 |
| Characterizing individual differences in selection history bias manifested in goaldirected reaching movements D Heinke, F Zhang, M Makwana, JH Song Perception, 2024 | | 2024 |
| Recognition and Control of a Chinese Pinyin Sign Language Robot via a Cognitive Robotics Approach H Cui, Y Luo, F Zhang International Conference on Intelligent Manufacturing and Robotics 2024, 2024 | | 2024 |
| Fundus Image Classification via an Integrated Deep Learning Model and Random Forest for Glaucoma Diagnostics H Zeng, J Cong, H Hong, Z Yu, F Zhang, G Li International Conference on Intelligent Manufacturing and Robotics 2024, 2024 | | 2024 |
| Cost-based Non-deep Learning for Planning and Decision-making Towards Enhancing Autonomous Driving's Safety and Comfort S Gan, S Wu, Y Luo, F Zhang International Conference on Intelligent Manufacturing and Robotics 2024, 2024 | | 2024 |
| Feature-Based Transfer Learning for High-Value Com-ponent Recovery in Electric Vehicles: An InceptionV3 Model Evaluation Y Luo, Y Xu, F Zhang, YT Lo, G Lyu, AHP Tan, APPA Majeed, Y Zhu 2nd International Conference on Intelligent Manufacturing and Robotics (ICiMR), 2024 | | 2024 |
| Enhancing Bone Fracture Detection: A Feature-Based Transfer Learning Approach Using DenseNet with SVM Y Luo, X Liu, R Song, APPA Majeed, F Zhang, Y Xu, AHP Tan, W Chen 2nd International Conference on Intelligent Manufacturing and Robotics (ICiMR), 2024 | | 2024 |
| Evaluating individual differences in selection history bias for goal-directed reaching movements M Makwana, F Zhang, D Heinke, JH Song Journal of Vision 22 (14), 4281-4281, 2022 | | 2022 |
| Guidance of visual search through canonical materials while controlling for low-level features F Zhang, D Heinke Perception 51, 197-197, 2022 | | 2022 |
| Dissociating mechanism underlying selection history for goal-directed reaching movements using a reach tracking and CoRLEGO modelling approach M Makwana, F Zhang, D Heinke, JH Song Perception 50 (1), 163-164, 2021 | | 2021 |
Sylvia C PontDelft University of Technology, Perceptual Intelligence lab在 tudelft.nl 的电子邮件经过验证
