Accepted Papers

  1. 4D Forecasting: Sequential Forecasting of 100,000 Points
    Xinshuo Weng, Jianren Wang, Sergey Levine, Kris Kitani, Nicholas Rhinehart
    paper | slides

  2. 3D Multi-Object Tracking: A Baseline and New Evaluation Metrics
    Xinshuo Weng, Jianren Wang, David Held, Kris Kitani
    paper | slides

  3. Application of Artificial Intelligence on Weather Classification for Automotive LiDAR
    Archanaa Ravichandran Vetriselvi, Michael Fischer, Martin Simon
    paper | slides

  4. AutoLay: Benchmarking Monocular Layout Estimation
    Kaustubh Mani, Narasimhan Sai Shankar, Krishna Murthy Jatavallabhula, Madhava Krishna
    paper | slides

  5. Curriculum Learning for Recurrent Video Object Segmentation
    Maria Gonzalez-i-Calabuig, Carles Ventura, Xavier Giró-i-Nieto
    paper | slides

  6. Deformable PV-RCNN: Improving 3D Object Detection with Learned Deformations
    Prarthana Bhattacharyya, Krzysztof Czarnecki
    paper | slides

  7. GMFNet: Gated Multimodal Fusion Network for Visible-Thermal Semantic Segmentation
    Etienne Balit*, Amine Chadli*
    paper | supplement | slides

  8. Graph Neural Networks for 3D Multi-Object Tracking with Multi-Feature Learning
    Xinshuo Weng, Yongxin Wang, Yunze Man, Kris Kitani
    paper | slides

  9. KPRNet: Improving projection-based LiDAR semantic segmentation
    Deyvid Kochanov, Fatemeh Karimi Nejadasl, Olaf Booij
    paper | slides

  10. Labels Are Not Perfect: Improving Probabilistic Object Detection via Label Uncertainty
    Di Feng, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer
    paper | slides

  11. Multi-Frame to Single-Frame: Knowledge Distillation for 3D Object Detection
    Yue Wang, Alireza Fathi, Jiajun Wu, Thomas Funkhouser, Justin M Solomon
    paper | slides

  12. Multi-Modal Trajectory Prediction with Memory Augmented Network in Autonomous Driving
    Francesco Marchetti, Federico Becattini, Lorenzo Seidenari, Alberto Del Bimbo
    paper | supplement | slides

  13. Probabilistic Object Classification using CNN ML-MAP Layers
    Gledson Melotti, Cristiano Premebida, Jordan Bird, Diego Faria, Nuno Goncalves
    paper | supplement | slides

  14. Real-time Semantic Segmentation with Fast Attention
    Ping Hu, Federico Perazzi, Fabian Caba Heilbron, Oliver Wang, Zhe Lin, Kate Saenko, Stan Sclaroff
    paper | slides

  15. Self-Attention based Feature Extractors for 3D Object Detection in Point Clouds
    Arulkumar Subramaniam, Ashish Vaswani, Niki Parmar
    paper | supplement | slides

  16. Semantically-Agnostic Unsupervised Monocular Depth Learning in Dynamic Scenes
    Hanhan Li, Ariel Gordon, Hang Zhao, Vincent Casser, Anelia Angelova
    paper | supplement | slides

  17. Towards Lightweight Lane Detection by Optimizing Spatial Embedding
    Seokwoo Jung*, Sungha Choi*, Mohammad Azam Khan, Jaegul Choo
    paper | slides

  18. Tracking from Patterns: Learning Corresponding Patterns in Point Clouds for 3D Object Tracking
    Jieqi Shi, Peiliang LI, Shaojie Shen
    paper | slides

  19. Training Semantic Descriptors for Image-Based Localization
    İbrahim Cinaroglu, Yalın Baştanlar
    paper | supplement | slides

  20. Unsupervised Deep Tracking for Improved 3D Object Detection
    Raja Giryes
    paper | slides