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Paper Talks

  • The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset [Video]
  • Camera-Radar Fusion for 3-D Depth Reconstruction [Video]
  • Slow-Time MIMO-FMCW Automotive Radar Detection with Imperfect Waveform Separation [Video]
  • Quantized Neural Networks for Radar Interference Mitigation [Video]
  • Deep Interference Mitigation and Denoising of Real-World FMCW Radar Signals [Video]
  • RadarNet [Video]
  • Rethinking of Radar’s Role [Video]
  • Radar Camera Fusion via Representation Learning in Autonomous Driving [Video]
  • HawkEye [Video1] [Video2]
  • CenterFusion:Center-based Radar and Camera Fusionfor 3D Object Detection [Video]
  • CFTrack: Center-based Radar and Camera Fusion for 3 Multi Object Tracking [Video]
  • Probabilistic Oriented Object Detection in Automotive Radar [Video]
  • RODNet: Radar Object Detection using Cross-Modal Supervision [Video]
  • Kidnapped Radar [Video]
  • Robust Camera Radar Sensor Fusion using Gated Region of Interest Fusion [Video]
  • Do We Need to Compensate for Motion Distortion in Spinning Radar Navigation? [Video]
  • Through Fog High-Resolution Imaging Using Millimeter Wave Radar [Video]
  • High-Resolution Radar Dataset for Semi-Supervised Learning of Dynamic Objects [Video]
  • Seeing Through Fog Without Seeing Fog: Deep Multimodal Sensor Fusion in Unseen Adverse Weather [Video]
  • Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar [Video]