Jinhui Yi
Orcid: 0000-0002-2339-2698
According to our database1,
Jinhui Yi
authored at least 17 papers
between 2020 and 2025.
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Bibliography
2025
PeT-KeyStAtion: Parameter-efficient Transformer with Keypoint-guided Spatial-temporal Aggregation for Video-based Person Re-identification.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
2024
RCCNet: A Spatial-Temporal Neural Network Model for Logistics Delivery Timely Rate Prediction.
ACM Trans. Intell. Syst. Technol., December, 2024
Remote. Sens., August, 2024
High-Precision Disparity Estimation for Lunar Scene Using Optimized Census Transform and Superpixel Refinement.
Remote. Sens., 2024
IEEE Geosci. Remote. Sens. Lett., 2024
Proceedings of the IEEE International Conference on Image Processing, 2024
Learning to Estimate Package Delivery Time in Mixed Imbalanced Delivery and Pickup Logistics Services.
Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems, 2024
MV-Match: Multi-View Matching for Domain-Adaptive Identification of Plant Nutrient Deficiencies.
Proceedings of the 35th British Machine Vision Conference, 2024
2023
An Autonomous Global Star Identification Algorithm Based on the Fast MST Index and Robust Multi-Order CCA Pattern.
Remote. Sens., May, 2023
ACM Trans. Intell. Syst. Technol., April, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
DeepSTA: A Spatial-Temporal Attention Network for Logistics Delivery Timely Rate Prediction in Anomaly Conditions.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
2021
Improve the Estimation of Monocular Vision 6-DOF Pose Based on the Fusion of Camera and Laser Rangefinder.
Remote. Sens., 2021
IEEE Robotics Autom. Lett., 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
2020
Deep Learning for Non-Invasive Diagnosis of Nutrient Deficiencies in Sugar Beet Using RGB Images.
Sensors, 2020