4D Forecasting: Sequential Forecasting of 100,000 Points
Xinshuo Weng, Jianren Wang, Sergey Levine, Kris Kitani, Nicholas Rhinehart
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3D Multi-Object Tracking: A Baseline and New Evaluation Metrics
Xinshuo Weng, Jianren Wang, David Held, Kris Kitani
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Application of Artificial Intelligence on Weather Classification for Automotive LiDAR
Archanaa Ravichandran Vetriselvi, Michael Fischer, Martin Simon
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AutoLay: Benchmarking Monocular Layout Estimation
Kaustubh Mani, Narasimhan Sai Shankar, Krishna Murthy Jatavallabhula, Madhava Krishna
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Curriculum Learning for Recurrent Video Object Segmentation
Maria Gonzalez-i-Calabuig, Carles Ventura, Xavier Giró-i-Nieto
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Deformable PV-RCNN: Improving 3D Object Detection with Learned Deformations
Prarthana Bhattacharyya, Krzysztof Czarnecki
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GMFNet: Gated Multimodal Fusion Network for Visible-Thermal Semantic Segmentation
Etienne Balit*, Amine Chadli*
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Graph Neural Networks for 3D Multi-Object Tracking with Multi-Feature Learning
Xinshuo Weng, Yongxin Wang, Yunze Man, Kris Kitani
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KPRNet: Improving projection-based LiDAR semantic segmentation
Deyvid Kochanov, Fatemeh Karimi Nejadasl, Olaf Booij
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Labels Are Not Perfect: Improving Probabilistic Object Detection via Label Uncertainty
Di Feng, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer
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Multi-Frame to Single-Frame: Knowledge Distillation for 3D Object Detection
Yue Wang, Alireza Fathi, Jiajun Wu, Thomas Funkhouser, Justin M Solomon
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Multi-Modal Trajectory Prediction with Memory Augmented Network in Autonomous Driving
Francesco Marchetti, Federico Becattini, Lorenzo Seidenari, Alberto Del Bimbo
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Probabilistic Object Classification using CNN ML-MAP Layers
Gledson Melotti, Cristiano Premebida, Jordan Bird, Diego Faria, Nuno Goncalves
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Real-time Semantic Segmentation with Fast Attention
Ping Hu, Federico Perazzi, Fabian Caba Heilbron, Oliver Wang, Zhe Lin, Kate Saenko, Stan Sclaroff
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Self-Attention based Feature Extractors for 3D Object Detection in Point Clouds
Arulkumar Subramaniam, Ashish Vaswani, Niki Parmar
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Semantically-Agnostic Unsupervised Monocular Depth Learning in Dynamic Scenes
Hanhan Li, Ariel Gordon, Hang Zhao, Vincent Casser, Anelia Angelova
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Towards Lightweight Lane Detection by Optimizing Spatial Embedding
Seokwoo Jung*, Sungha Choi*, Mohammad Azam Khan, Jaegul Choo
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Tracking from Patterns: Learning Corresponding Patterns in Point Clouds for 3D Object Tracking
Jieqi Shi, Peiliang LI, Shaojie Shen
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Training Semantic Descriptors for Image-Based Localization
İbrahim Cinaroglu, Yalın Baştanlar
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Unsupervised Deep Tracking for Improved 3D Object Detection
Raja Giryes
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