Accepted Papers

INSTA-YOLO: Real-Time Instance Segmentation based on YOLO
Eslam Bakr, Abdelrahman Shaker, Ahmad ElSallab, Hazem Rashed, Mayada Hadhoud
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Probabilistic Object Detection: Strengths, Weaknesses, Opportunities
Dhaivat Bhatt*, Dishank Bansal*, Gunshi Gupta*, Hanju Lee, Krishna Murthy Jatavallabhula, Liam Paull
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Interpretable End-to-end Autonomous Driving with Reinforcement Learning
Jianyu Chen, Shengbo Li, Masayoshi Tomizuka
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SalsaNext: Fast, Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving
Tiago Cortinhal, George Tzelepis, Eren Erdal Aksoy
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Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts?
Angelos Filos*, Panagiotis Tigkas*, Rowan McAllister, Nicholas Rhinehart, Sergey Levine, Yarin Gal
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Deep Representation Learning and Clustering of Traffic Scenarios
Nick Harmening, Marin Biloš, Stephan Günnemann
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Trajectograms: Which Semi-Supervised Trajectory Prediction Model to Use?
Nick Lamm, Malavika Srikanth, Shashank Jaiprakash, Iddo Drori
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Autonomous Driving with Reinforcement Learning and Rule-based Policies
Amarildo Likmeta, Alberto Maria Metelli, Andrea Tirinzoni, Riccardo Giol, Marcello Restelli, Danilo Romano, Andrea Alessandretti
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Towards Map-Based Validation of Semantic Segmentation Masks
Laura von Rueden, Tim Wirtz, Fabian Hüger, Jan David Schneider, Christian Bauckhage
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Imitation Learning Approach for AI Driving Olympics Trained on Real-world and Simulation Data Simultaneously
Mikita Sazanovich, Konstantin Chaika, Kirill Krinkin, Aleksei Shpilman
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Multi-agent Graph Reinforcement Learning for Connected Automated Driving
Jiawei Wang*, Tianyu Shi*, Yuankai Wu, Luis Miranda-Moreno, Lijun Sun
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Learning Multiplicative Interactions with Bayesian Neural Networks for Visual-Inertial Odometry
Kashmira Shinde, Jongseok Lee, Matthias Humt, Aydin Sezgin, Rudolph Triebel
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Depth Meets CNN: A Fusion Based Approach for Semantic Road Segmentation
Deepak Singh*, Abhinav Atrishi*, Sarthak Gupta*, Raghav Marwaha
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Learning Invariant Representations for Reinforcement Learning without Reconstruction
Amy Zhang*, Rowan McAllister*, Roberto Calandra, Yarin Gal, Sergey Levine
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