research
∙
08/24/2023
StreamMapNet: Streaming Mapping Network for Vectorized Online HD Map Construction
High-Definition (HD) maps are essential for the safety of autonomous dri...
share
research
∙
04/27/2023
Occ3D: A Large-Scale 3D Occupancy Prediction Benchmark for Autonomous Driving
Robotic perception requires the modeling of both 3D geometry and semanti...
research
∙
04/17/2023
Neural Map Prior for Autonomous Driving
High-definition (HD) semantic maps are crucial for autonomous vehicles n...
research
∙
03/28/2023
Facial recognition technology can expose political orientation from facial images even when controlling for demographics and self-presentation
A facial recognition algorithm was used to extract face descriptors from...
research
∙
08/02/2022
ViP3D: End-to-end Visual Trajectory Prediction via 3D Agent Queries
Existing autonomous driving pipelines separate the perception module fro...
research
∙
06/17/2022
VectorMapNet: End-to-end Vectorized HD Map Learning
Autonomous driving systems require a good understanding of surrounding e...
research
∙
05/02/2022
MUTR3D: A Multi-camera Tracking Framework via 3D-to-2D Queries
Accurate and consistent 3D tracking from multiple cameras is a key compo...
research
∙
03/20/2022
FUTR3D: A Unified Sensor Fusion Framework for 3D Detection
Sensor fusion is an essential topic in many perception systems, such as ...
research
∙
10/13/2021
DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries
We introduce a framework for multi-camera 3D object detection. In contra...
research
∙
07/13/2021
HDMapNet: An Online HD Map Construction and Evaluation Framework
High-definition map (HD map) construction is a crucial problem for auton...
research
∙
09/07/2017
Fine-Grained Car Detection for Visual Census Estimation
Targeted socioeconomic policies require an accurate understanding of a c...
research
∙
02/22/2017
Using Deep Learning and Google Street View to Estimate the Demographic Makeup of the US
The United States spends more than 1B each year on initiatives such as t...
research
∙
03/26/2016
Support Driven Wavelet Frame-based Image Deblurring
The wavelet frame systems have been playing an active role in image rest...
research
∙
10/10/2015
Wavelet Frame Based Image Restoration Using Sparsity, Nonlocal and Support Prior of Frame Coefficients
The wavelet frame systems have been widely investigated and applied for ...
research
∙
06/27/2015
A Novel Approach for Stable Selection of Informative Redundant Features from High Dimensional fMRI Data
Feature selection is among the most important components because it not ...
research
∙
06/07/2015
Randomized Structural Sparsity based Support Identification with Applications to Locating Activated or Discriminative Brain Areas: A Multi-center Reproducibility Study
In this paper, we focus on how to locate the relevant or discriminative ...
research
∙
04/27/2015
Linear Spatial Pyramid Matching Using Non-convex and non-negative Sparse Coding for Image Classification
Recently sparse coding have been highly successful in image classificati...
research
∙
10/27/2014
Sensitivity Analysis for Computationally Expensive Models using Optimization and Objective-oriented Surrogate Approximations
In this paper, we focus on developing efficient sensitivity analysis met...
research
∙
10/23/2014
A General Stochastic Algorithmic Framework for Minimizing Expensive Black Box Objective Functions Based on Surrogate Models and Sensitivity Analysis
We are focusing on bound constrained global optimization problems, whose...
research
∙
10/17/2014
Randomized Structural Sparsity via Constrained Block Subsampling for Improved Sensitivity of Discriminative Voxel Identification
In this paper, we consider voxel selection for functional Magnetic Reson...
research
∙
06/16/2014
Multi-stage Multi-task feature learning via adaptive threshold
Multi-task feature learning aims to identity the shared features among t...
research
∙
06/11/2014
