FARM: Frequency-Aware Model for Cross-Domain Live-Streaming Recommendation.
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CoRR, February, 2025
Frequency-Aware Self-Supervised Group Activity Recognition with skeleton sequences.
Pattern Recognit., 2025
FIM: Frequency-Aware Multi-View Interest Modeling for Local-Life Service Recommendation.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025
Audio-visual keyword transformer for unconstrained sentence-level keyword spotting.
CAAI Trans. Intell. Technol., February, 2024
Augmented skeleton sequences with hypergraph network for self-supervised group activity recognition.
Pattern Recognit., 2024
Improving self-supervised action recognition from extremely augmented skeleton sequences.
Pattern Recognit., 2024
D<sup>3</sup>epth: Self-Supervised Depth Estimation with Dynamic Mask in Dynamic Scenes.
CoRR, 2024
Identity-aware Dual-constraint Network for Cloth-Changing Person Re-identification.
CoRR, 2024
APP: Adaptive Pose Pooling for 3D Human Pose Estimation from Videos.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
AttA-NET: Attention Aggregation Network for Audio-Visual Emotion Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2024
Fully Automated Generation Mechanism of Rootfs for Specified Operating Systems Under Linux.
Proceedings of the Artificial Intelligence Security and Privacy, 2024
On-device audio-visual multi-person wake word spotting.
CAAI Trans. Intell. Technol., December, 2023
Land Subsidence in Tianjin, China: Before and after the South-to-North Water Diversion.
Remote. Sens., March, 2023
M-Sequences and Sliding Window Based Audio Watermarking Robust Against Large-Scale Cropping Attacks.
IEEE Trans. Inf. Forensics Secur., 2023
Semantic-aware Consistency Network for Cloth-changing Person Re-Identification.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Self-Supervised 3D Skeleton Representation Learning with Active Sampling and Adaptive Relabeling for Action Recognition.
Proceedings of the IEEE International Conference on Image Processing, 2023
Sentinel-1 InSAR and GPS-Integrated Long-Term and Seasonal Subsidence Monitoring in Houston, Texas, USA.
Remote. Sens., December, 2022
The Integrated Development Evaluation of Tourism Industry from the Perspective of Global Tourism Based on Artificial Intelligence Model.
Proceedings of the AIAM 2021: 3rd International Conference on Artificial Intelligence and Advanced Manufacture, Manchester, United Kingdom, October 23, 2021
GOM20: A Stable Geodetic Reference Frame for Subsidence, Faulting, and Sea-Level Rise Studies along the Coast of the Gulf of Mexico.
Remote. Sens., 2020
A Rapid Terrestrial Laser Scanning Method for Coastal Erosion Studies: A Case Study at Freeport, Texas, USA.
Sensors, 2019
CARIB18: A Stable Geodetic Reference Frame for Geological Hazard Monitoring in the Caribbean Region.
Remote. Sens., 2019
Current Activity of the Long Point Fault in Houston, Texas Constrained by Continuous GPS Measurements (2013-2018).
Remote. Sens., 2019
Research on classification method of high-dimensional class-imbalanced datasets based on SVM.
Int. J. Mach. Learn. Cybern., 2019
Airborne DInSAR Results Using Time-Domain Backprojection Algorithm: A Case Study Over the Slumgullion Landslide in Colorado With Validation Using Spaceborne SAR, Airborne LiDAR, and Ground-Based Observations.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017
Anti-aliasing filters for deriving high-accuracy DEMs from TLS data: A case study from Freeport, Texas.
Comput. Geosci., 2017
Feature selection for high dimensional imbalanced class data based on F-measure optimization.
Proceedings of the International Conference on Security, Pattern Analysis, and Cybernetics, 2017
Evaluation of an airborne SAR system for deformation mapping: A case study over the slumgullion landslide.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
A New Approach for Imbalanced Data Classification Based on Minimize Loss Learning.
Proceedings of the Second IEEE International Conference on Data Science in Cyberspace, 2017