A5077424950- Advanced Vision and Imaging
- Advanced Image Processing Techniques
- Image Enhancement Techniques
- Image Processing Techniques and Applications
- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Optical measurement and interference techniques
- Hand Gesture Recognition Systems
Soochow University
2024
Aston University
2023
This paper discusses the results for second edition of Monocular Depth Estimation Challenge (MDEC). was open to methods using any form supervision, including fully-supervised, self-supervised, multi-task or proxy depth. The challenge based around SYNS-Patches dataset, which features a wide diversity environments with high-quality dense ground-truth. includes complex natural environments, e.g. forests fields, are greatly underrepresented in current benchmarks.The received eight unique...
Yawning detection is actively used in multimedia applications such as driver fatigue assessment and status monitoring. However, the accuracy robustness of existing yawning detectors are limited due to variations environments (especially lights), facial expressions, confusion behaviours (e.g., talking eating). This paper introduces a transformer-based method, YawnNet, for accurate by leveraging spatial-temporal encoding local cues. In particular, YawnNet contains data processing stage with...
This paper discusses the results for second edition of Monocular Depth Estimation Challenge (MDEC). was open to methods using any form supervision, including fully-supervised, self-supervised, multi-task or proxy depth. The challenge based around SYNS-Patches dataset, which features a wide diversity environments with high-quality dense ground-truth. includes complex natural environments, e.g. forests fields, are greatly underrepresented in current benchmarks. received eight unique...
This paper summarizes the results of first Monocular Depth Estimation Challenge (MDEC) organized at WACV2023. challenge evaluated progress self-supervised monocular depth estimation on challenging SYNS-Patches dataset. The was CodaLab and received submissions from 4 valid teams. Participants were provided a devkit containing updated reference implementations for 16 State-of-the-Art algorithms novel techniques. threshold acceptance techniques to outperform every one SotA baselines. All...