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20152022
most citedDETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries

74 citations · 95 across the 5 of their papers we have counts for

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6 papers · 1 filter

cs.CV2022

MUTR3D: A Multi-camera Tracking Framework via 3D-to-2D Queries

Tianyuan Zhang, Xuanyao Chen, Yue Wang +2

Accurate and consistent 3D tracking from multiple cameras is a key component in a vision-based autonomous driving system. It involves modeling 3D dynamic objects in complex scenes…

cs.CV202174 cited

DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries

Yue Wang, Vitor Guizilini, Tianyuan Zhang +3

We introduce a framework for multi-camera 3D object detection. In contrast to existing works, which estimate 3D bounding boxes directly from monocular images or use depth predictio…

cs.CV201720 cited

Fine-Grained Car Detection for Visual Census Estimation

Timnit Gebru, Jonathan Krause, Yilun Wang +3

Targeted socioeconomic policies require an accurate understanding of a country's demographic makeup. To that end, the United States spends more than 1 billion dollars a year gather…

cs.CV2016

Support Driven Wavelet Frame-based Image Deblurring

Liangtian He, Yilun Wang, Zhaoyin Xiang

The wavelet frame systems have been playing an active role in image restoration and many other image processing fields over the past decades, owing to the good capability of sparse…

cs.CV2015

Randomized Structural Sparsity based Support Identification with Applications to Locating Activated or Discriminative Brain Areas: A Multi-center Reproducibility Study

Yilun Wang, Sheng Zhang, Junjie Zheng +2

In this paper, we focus on how to locate the relevant or discriminative brain regions related with external stimulus or certain mental decease, which is also called support identif…

cs.CV20151 cited

Linear Spatial Pyramid Matching Using Non-convex and non-negative Sparse Coding for Image Classification

Chengqiang Bao, Liangtian He, Yilun Wang

Recently sparse coding have been highly successful in image classification mainly due to its capability of incorporating the sparsity of image representation. In this paper, we pro…