All Stories

  1. A benchmark of expert-level academic questions to assess AI capabilities
  2. Hyperspectral Sensors and Autonomous Driving: Technologies, Limitations, and Opportunities
  3. CSNR and JMIM Based Spectral Band Selection for Reducing Metamerism in Urban Driving
  4. Impact of Inter-Modality Misalignment on Multispectral Object Detection
  5. Learnable Quantum Efficiency Filters for Urban Hyperspectral Segmentation
  6. Impact of Contrast Threshold on Event-Based Automotive Perception Performance
  7. Multi-Scale Spectral Attention Module-Based Hyperspectral Segmentation in Autonomous Driving Scenarios
  8. TFE-Fusion: Tri-Modality Feature Enhanced Fusion for Robust Object Detection
  9. Evaluation of Interpolation Methods for Image Downsampling in Automotive Computer Vision
  10. Hyperspectral vs. RGB for Pedestrian Segmentation in Urban Driving Scenes: A Comparative Study
  11. Humanity's Last Exam
  12. V-CAS: A Realtime Vehicle Anti Collision System Using Vision Transformer on Multi-Camera Streams
  13. Hyperspectral Imaging-Based Perception in Autonomous Driving Scenarios: Benchmarking Baseline Semantic Segmentation Models
  14. SFA-UNet: More Attention to Multi-Scale Contrast and Contextual Information in Infrared Small Object Segmentation
  15. Assessment of parental satisfaction with paediatric health services in public sector tertiary hospitals within a low-income setting using Patient Satisfaction Questionnaire (PSQ-18)
  16. MI²T-UNet: Integrating Multi-Scale Input Image and Top-hat Context for Infrared Small Object Segmentation
  17. MI2T-UNet: Integrating Multi-Scale Input Image and Top-hat Context for Infrared Small Object Segmentation