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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...
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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...
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04/17/2023
Neural Map Prior for Autonomous Driving
High-definition (HD) semantic maps are crucial for autonomous vehicles n...
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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...
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08/02/2022
ViP3D: End-to-end Visual Trajectory Prediction via 3D Agent Queries
Existing autonomous driving pipelines separate the perception module fro...
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06/17/2022
VectorMapNet: End-to-end Vectorized HD Map Learning
Autonomous driving systems require a good understanding of surrounding e...
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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...
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03/20/2022
FUTR3D: A Unified Sensor Fusion Framework for 3D Detection
Sensor fusion is an essential topic in many perception systems, such as ...
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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...
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07/13/2021
HDMapNet: An Online HD Map Construction and Evaluation Framework
High-definition map (HD map) construction is a crucial problem for auton...
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09/07/2017
Fine-Grained Car Detection for Visual Census Estimation
Targeted socioeconomic policies require an accurate understanding of a c...
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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...
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03/26/2016
Support Driven Wavelet Frame-based Image Deblurring
The wavelet frame systems have been playing an active role in image rest...
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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 ...
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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 ...
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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 ...
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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...
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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...
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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...
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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...
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06/16/2014
Multi-stage Multi-task feature learning via adaptive threshold
Multi-task feature learning aims to identity the shared features among t...
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06/11/2014