research
∙
06/30/2023
S.T.A.R.-Track: Latent Motion Models for End-to-End 3D Object Tracking with Adaptive Spatio-Temporal Appearance Representations
Following the tracking-by-attention paradigm, this paper introduces an o...
share
research
∙
06/19/2023
PowerBEV: A Powerful Yet Lightweight Framework for Instance Prediction in Bird's-Eye View
Accurately perceiving instances and predicting their future motion are k...
research
∙
04/28/2022
KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients
Simulators offer the possibility of safe, low-cost development of self-d...
research
∙
07/09/2021
Learning Cascaded Detection Tasks with Weakly-Supervised Domain Adaptation
In order to handle the challenges of autonomous driving, deep learning h...
research
∙
06/15/2020
