Everything Can Be Described in Words: A Simple Unified Multi-Modal Framework with Semantic and Temporal Alignment.
CoRR, March, 2025
Investigating the Effectiveness of a Socratic Chain-of-Thoughts Reasoning Method for Task Planning in Robotics, A Case Study.
CoRR, March, 2025
Advanced Object Detection and Pose Estimation with Hybrid Task Cascade and High-Resolution Networks.
CoRR, February, 2025
Garbage Classification from Visual Footprints: Using Transfer Learning Strategy.
Proceedings of the 20th International Joint Conference on Computer Vision, 2025
Key Safety Design Overview in AI-driven Autonomous Vehicles.
CoRR, 2024
Adaptive Domain-Adversarial Multi-Instance Learning for Wearable-Sensor-Based Parkinson's Disease Severity Assessment.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
Medical Signals Augmentation for Parkinson's Disease Diagnosis in Low-Resource Settings Across Time, Activity and Patients.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
Modeling Parkinson's Disease Aided Diagnosis with Multi-Instance Learning: An Effective Approach to Mitigate Label Noise.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023
Deformable spatial propagation network for depth completion.
CoRR, 2020
Adaptive Feature Selection With Reinforcement Learning for Skeleton-Based Action Recognition.
IEEE Access, 2020
Deformable Spatial Propagation Networks For Depth Completion.
Proceedings of the IEEE International Conference on Image Processing, 2020
Single Image Super-Resolution Using Depth Map as Constraint.
Proceedings of the IEEE International Conference on Image Processing, 2020
Robust Multi-Feature Learning for Skeleton-Based Action Recognition.
IEEE Access, 2019