Projects

  1. summary image

    Depth Coefficients for Depth Completion

    Saif Imran, Yunfei Long, Xiaoming Liu, Daniel Morris

    Depth completion involves estimating a dense depth image from sparse depth measurements, often guided by a color image. While linear upsampling is straight forward, it results in artifacts including depth pixels being interpolated in empty space across discontinuities between objects. Current methods use deep networks to upsample and "complete" the ...

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    Keywords: Depth Completion, Camera+LiDAR+Radar, Multi-modality, Depth Prediction

Publications

2023

  • RADIANT: RADar Image Association NeTwork for 3D Object Detection
    Yunfei Long, Abhinav Kumar, Daniel Morris, Xiaoming Liu, Marcos Paul Gerardo Castro, Punarjay Chakravarty
    In Proceeding of Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI), Washington, D.C., Feb. 2023
    Bibtex | PDF
    • @inproceedings{ radiant-radar-image-association-network-for-3d-object-detection,
      author = { Yunfei Long and Abhinav Kumar and Daniel Morris and Xiaoming Liu and Marcos Paul Gerardo Castro and Punarjay Chakravarty },
      title = { RADIANT: RADar Image Association NeTwork for 3D Object Detection },
      booktitle = { In Proceeding of Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI) },
      address = { Washington, D.C. },
      month = { February },
      year = { 2023 },
    }

2021

  • Full-Velocity Radar Returns by Radar-Camera Fusion
    Yunfei Long, Daniel Morris, Xiaoming Liu, Marcos Castro, Punarjay Chakravarty, Praveen Narayanan
    In Proceeding of International Conference on Computer Vision (ICCV 2021), Montreal, Canada, Oct. 2021 (Oral presentation)
    Bibtex | PDF | Supplemental | Code | Video
    • @inproceedings{ full-velocity-radar-returns-by-radar-camera-fusion,
      author = { Yunfei Long and Daniel Morris and Xiaoming Liu and Marcos Castro and Punarjay Chakravarty and Praveen Narayanan },
      title = { Full-Velocity Radar Returns by Radar-Camera Fusion },
      booktitle = { In Proceeding of International Conference on Computer Vision },
      address = { Montreal, Canada },
      month = { October },
      year = { 2021 },
    }
  • Radar-Camera Pixel Depth Association for Depth Completion
    Yunfei Long, Daniel Morris, Xiaoming Liu, Marcos Paul Gerardo Castro, Punarjay Chakravarty, Praveen Narayanan
    In Proceeding of IEEE Computer Vision and Pattern Recognition (CVPR 2021), Nashville, TN, Jun. 2021
    Bibtex | arXiv | Code | Video
    • @inproceedings{ radar-camera-pixel-depth-association-for-depth-completion,
      author = { Yunfei Long and Daniel Morris and Xiaoming Liu and Marcos Paul Gerardo Castro and Punarjay Chakravarty and Praveen Narayanan },
      title = { Radar-Camera Pixel Depth Association for Depth Completion },
      booktitle = { In Proceeding of IEEE Computer Vision and Pattern Recognition },
      address = { Nashville, TN },
      month = { June },
      year = { 2021 },
    }

2019

  • Depth Coefficients for Depth Completion
    Saif Imran, Yunfei Long, Xiaoming Liu, Daniel Morris
    In Proceeding of IEEE Computer Vision and Pattern Recognition (CVPR 2019), Long Beach, CA, Jun. 2019
    Bibtex | PDF | arXiv | Supplemental | Poster | Project Webpage | Code | Video
    • @inproceedings{ depth-coefficients-for-depth-completion,
      author = { Saif Imran and Yunfei Long and Xiaoming Liu and Daniel Morris },
      title = { Depth Coefficients for Depth Completion },
      booktitle = { In Proceeding of IEEE Computer Vision and Pattern Recognition },
      address = { Long Beach, CA },
      month = { June },
      year = { 2019 },
    }