research
∙
01/24/2023
Koopman neural operator as a mesh-free solver of non-linear partial differential equations
The lacking of analytic solutions of diverse partial differential equati...
share
research
∙
01/03/2023
KoopmanLab: machine learning for solving complex physics equations
Numerous physics theories are rooted in partial differential equations (...
research
∙
12/04/2022
Statistical Physics of Deep Neural Networks: Initialization toward Optimal Channels
In deep learning, neural networks serve as noisy channels between input ...
research
∙
10/24/2022
LidarAugment: Searching for Scalable 3D LiDAR Data Augmentations
Data augmentations are important in training high-performance 3D object ...
research
∙
10/13/2022
SWFormer: Sparse Window Transformer for 3D Object Detection in Point Clouds
3D object detection in point clouds is a core component for modern robot...
research
∙
10/10/2022
LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds
Developing neural models that accurately understand objects in 3D point ...
research
∙
07/14/2022
Analytic relations between networks: encoding, decoding, and causality
Networks are common in physics, biology, computer science, and social sc...
research
∙
04/21/2022
A unified theory of information transfer and causal relation
Information transfer between coupled stochastic dynamics, measured by tr...
research
∙
11/12/2021
Thermodynamics of Encoding and Encoders
Non-isolated systems have diverse coupling relations with the external e...
research
∙
10/13/2021
Fourier-domain transfer entropy spectrum
We propose the Fourier-domain transfer entropy spectrum, a novel general...
research
∙
04/20/2021
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset
As autonomous driving systems mature, motion forecasting has received in...
research
∙
03/08/2021
Offboard 3D Object Detection from Point Cloud Sequences
While current 3D object recognition research mostly focuses on the real-...
research
∙
05/20/2020
Range Conditioned Dilated Convolutions for Scale Invariant 3D Object Detection
This paper presents a novel 3D object detection framework that processes...
research
∙
05/08/2020
SurfelGAN: Synthesizing Realistic Sensor Data for Autonomous Driving
Autonomous driving system development is critically dependent on the abi...
research
∙
12/10/2019
Scalability in Perception for Autonomous Driving: Waymo Open Dataset
The research community has increasing interest in autonomous driving res...
research
∙
12/10/2019
Scalability in Perception for Autonomous Driving: An Open Dataset Benchmark
The research community has increasing interest in autonomous driving res...
research
∙
10/15/2019
End-to-End Multi-View Fusion for 3D Object Detection in LiDAR Point Clouds
Recent work on 3D object detection advocates point cloud voxelization in...
research
∙
08/29/2019