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09/11/2023
SHIFT3D: Synthesizing Hard Inputs For Tricking 3D Detectors
We present SHIFT3D, a differentiable pipeline for generating 3D shapes t...
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03/09/2023
Efficient Transformer-based 3D Object Detection with Dynamic Token Halting
Balancing efficiency and accuracy is a long-standing problem for deployi...
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06/03/2020
MultiNet: Multiclass Multistage Multimodal Motion Prediction
One of the critical pieces of the self-driving puzzle is understanding t...
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05/21/2020
RV-FuseNet: Range View based Fusion of Time-Series LiDAR Data for Joint 3D Object Detection and Motion Forecasting
Autonomous vehicles rely on robust real-time detection and future motion...
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03/12/2020
LaserFlow: Efficient and Probabilistic Object Detection and Motion Forecasting
In this work, we present LaserFlow, an efficient method for 3D object de...
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03/09/2020
SDVTracker: Real-Time Multi-Sensor Association and Tracking for Self-Driving Vehicles
Accurate motion state estimation of Vulnerable Road Users (VRUs), is a c...
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11/05/2019
An Alternative Probabilistic Interpretation of the Huber Loss
The Huber loss is a robust loss function used for a wide range of regres...
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10/24/2019
Learning an Uncertainty-Aware Object Detector for Autonomous Driving
The capability to detect objects is a core part of autonomous driving. D...
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04/25/2019
Sensor Fusion for Joint 3D Object Detection and Semantic Segmentation
In this paper, we present an extension to LaserNet, an efficient and sta...
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03/20/2019