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09/18/2023
Pre-training on Synthetic Driving Data for Trajectory Prediction
Accumulating substantial volumes of real-world driving data proves pivot...
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09/18/2023
Guided Online Distillation: Promoting Safe Reinforcement Learning by Offline Demonstration
Safe Reinforcement Learning (RL) aims to find a policy that achieves hig...
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08/08/2023
DELFlow: Dense Efficient Learning of Scene Flow for Large-Scale Point Clouds
Point clouds are naturally sparse, while image pixels are dense. The inc...
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07/27/2023
NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection
We present NeRF-Det, a novel method for indoor 3D detection with posed R...
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07/20/2023
Quantum Logspace Computations are Verifiable
In this note, we observe that quantum logspace computations are verifiab...
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06/29/2023
An Efficient General-Purpose Modular Vision Model via Multi-Task Heterogeneous Training
We present a model that can perform multiple vision tasks and can be ada...
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06/27/2023
Randomized vs. Deterministic Separation in Time-Space Tradeoffs of Multi-Output Functions
We prove the first polynomial separation between randomized and determin...
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06/15/2023
Residual Q-Learning: Offline and Online Policy Customization without Value
Imitation Learning (IL) is a widely used framework for learning imitativ...
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06/14/2023
Skill-Critic: Refining Learned Skills for Reinforcement Learning
Hierarchical reinforcement learning (RL) can accelerate long-horizon dec...
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06/01/2023
Doubly Robust Self-Training
Self-training is an important technique for solving semi-supervised lear...
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05/12/2023
Double-Iterative Gaussian Process Regression for Modeling Error Compensation in Autonomous Racing
Autonomous racing control is a challenging research problem as vehicles ...
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04/27/2023
SparseFusion: Fusing Multi-Modal Sparse Representations for Multi-Sensor 3D Object Detection
By identifying four important components of existing LiDAR-camera 3D obj...
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04/27/2023
Quadric Representations for LiDAR Odometry, Mapping and Localization
Current LiDAR odometry, mapping and localization methods leverage point-...
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03/29/2023
Certified Hardness vs. Randomness for Log-Space
Let ℒ be a language that can be decided in linear space and let ϵ >0 be ...
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03/25/2023
Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm
Given the large-scale data and the high annotation cost, pretraining-fin...
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03/24/2023
Editing Driver Character: Socially-Controllable Behavior Generation for Interactive Traffic Simulation
Traffic simulation plays a crucial role in evaluating and improving auto...
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03/01/2023
Memory-Sample Lower Bounds for Learning with Classical-Quantum Hybrid Memory
In a work by Raz (J. ACM and FOCS 16), it was proved that any algorithm ...
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11/17/2022
Outracing Human Racers with Model-based Autonomous Racing
Autonomous racing has become a popular sub-topic of autonomous driving i...
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10/05/2022
Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection
While recent camera-only 3D detection methods leverage multiple timestep...
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09/26/2022
Center Feature Fusion: Selective Multi-Sensor Fusion of Center-based Objects
Leveraging multi-modal fusion, especially between camera and LiDAR, has ...
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08/09/2022
Analyzing and Enhancing Closed-loop Stability in Reactive Simulation
Simulation has played an important role in efficiently evaluating self-d...
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08/06/2022
Generalizability Analysis of Graph-based Trajectory Predictor with Vectorized Representation
Trajectory prediction is one of the essential tasks for autonomous vehic...
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07/19/2022
What Matters for 3D Scene Flow Network
3D scene flow estimation from point clouds is a low-level 3D motion perc...
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07/08/2022
SST-Calib: Simultaneous Spatial-Temporal Parameter Calibration between LIDAR and Camera
With information from multiple input modalities, sensor fusion-based alg...
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07/08/2022
Efficient Game-Theoretic Planning with Prediction Heuristic for Socially-Compliant Autonomous Driving
Planning under social interactions with other agents is an essential pro...
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05/24/2022
Hierarchical Planning Through Goal-Conditioned Offline Reinforcement Learning
Offline Reinforcement learning (RL) has shown potent in many safe-critic...
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04/21/2022
PreTraM: Self-Supervised Pre-training via Connecting Trajectory and Map
Deep learning has recently achieved significant progress in trajectory f...
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04/19/2022
Interventional Behavior Prediction: Avoiding Overly Confident Anticipation in Interactive Prediction
Conditional behavior prediction (CBP) builds up the foundation for a coh...
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04/02/2022
Polynomial Bounds On Parallel Repetition For All 3-Player Games With Binary Inputs
We prove that for every 3-player (3-prover) game 𝒢 with value less than ...
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03/28/2022
Domain Knowledge Driven Pseudo Labels for Interpretable Goal-Conditioned Interactive Trajectory Prediction
Motion forecasting in highly interactive scenarios is a challenging prob...
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03/17/2022
DetMatch: Two Teachers are Better Than One for Joint 2D and 3D Semi-Supervised Object Detection
While numerous 3D detection works leverage the complementary relationshi...
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02/14/2022
Parallel Repetition For All 3-Player Games Over Binary Alphabet
We prove that for every 3-player game with binary questions and answers ...
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02/10/2022
Transferable and Adaptable Driving Behavior Prediction
While autonomous vehicles still struggle to solve challenging situations...
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12/15/2021
Towards General and Efficient Active Learning
Active learning aims to select the most informative samples to exploit l...
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12/03/2021
Causal-based Time Series Domain Generalization for Vehicle Intention Prediction
Accurately predicting possible behaviors of traffic participants is an e...
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12/01/2021
Exploring Social Posterior Collapse in Variational Autoencoder for Interaction Modeling
Multi-agent behavior modeling and trajectory forecasting are crucial for...
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11/09/2021
Dealing with the Unknown: Pessimistic Offline Reinforcement Learning
Reinforcement Learning (RL) has been shown effective in domains where th...
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11/01/2021
Hierarchical Adaptable and Transferable Networks (HATN) for Driving Behavior Prediction
When autonomous vehicles still struggle to solve challenging situations ...
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09/03/2021
Iterative Imitation Policy Improvement for Interactive Autonomous Driving
We propose an imitation learning system for autonomous driving in urban ...
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08/14/2021
A Microscopic Pandemic Simulator for Pandemic Prediction Using Scalable Million-Agent Reinforcement Learning
Microscopic epidemic models are powerful tools for government policy mak...
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08/14/2021
Constrained Iterative LQG for Real-Time Chance-Constrained Gaussian Belief Space Planning
Motion planning under uncertainty is of significant importance for safet...
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07/23/2021
Automatic Construction of Lane-level HD Maps for Urban Scenes
High definition (HD) maps have demonstrated their essential roles in ena...
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07/13/2021
Parallel Repetition for the GHZ Game: A Simpler Proof
We give a new proof of the fact that the parallel repetition of the (3-p...
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06/08/2021
Image2Point: 3D Point-Cloud Understanding with Pretrained 2D ConvNets
3D point-clouds and 2D images are different visual representations of th...
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03/18/2021
You Only Group Once: Efficient Point-Cloud Processing with Token Representation and Relation Inference Module
3D point-cloud-based perception is a challenging but crucial computer vi...
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03/06/2021
A Simple and Efficient Multi-task Network for 3D Object Detection and Road Understanding
Detecting dynamic objects and predicting static road information such as...
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03/01/2021
Diverse Critical Interaction Generation for Planning and Planner Evaluation
Generating diverse and comprehensive interacting agents to evaluate the ...
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01/17/2021
A Safe Hierarchical Planning Framework for Complex Driving Scenarios based on Reinforcement Learning
Autonomous vehicles need to handle various traffic conditions and make s...
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01/15/2021
Interaction-Aware Behavior Planning for Autonomous Vehicles Validated with Real Traffic Data
Autonomous vehicles (AVs) need to interact with other traffic participan...
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12/18/2020
