Search Results for author: Jinglu Wang

Found 11 papers, 5 papers with code

MonoGRNet: A General Framework for Monocular 3D Object Detection

no code implementations18 Apr 2021 Zengyi Qin, Jinglu Wang, Yan Lu

Detecting and localizing objects in the real 3D space, which plays a crucial role in scene understanding, is particularly challenging given only a monocular image due to the geometric information loss during imagery projection.

2D Object Detection Depth Estimation +2

Weakly Supervised 3D Object Detection from Point Clouds

1 code implementation28 Jul 2020 Zengyi Qin, Jinglu Wang, Yan Lu

A crucial task in scene understanding is 3D object detection, which aims to detect and localize the 3D bounding boxes of objects belonging to specific classes.

3D Object Detection Knowledge Distillation +1

Weakly-supervised Temporal Action Localization by Uncertainty Modeling

2 code implementations12 Jun 2020 Pilhyeon Lee, Jinglu Wang, Yan Lu, Hyeran Byun

Experimental results show that our uncertainty modeling is effective at alleviating the interference of background frames and brings a large performance gain without bells and whistles.

Action Classification Multiple Instance Learning +4

Triangulation Learning Network: from Monocular to Stereo 3D Object Detection

1 code implementation CVPR 2019 Zengyi Qin, Jinglu Wang, Yan Lu

In this paper, we study the problem of 3D object detection from stereo images, in which the key challenge is how to effectively utilize stereo information.

3D Object Detection 3D Object Detection From Stereo Images

Learning Fully Dense Neural Networks for Image Semantic Segmentation

no code implementations22 May 2019 Mingmin Zhen, Jinglu Wang, Lei Zhou, Tian Fang, Long Quan

On the other hand, it learns more efficiently with the more efficient gradient backpropagation.

Semantic Segmentation

MonoGRNet: A Geometric Reasoning Network for Monocular 3D Object Localization

1 code implementation26 Nov 2018 Zengyi Qin, Jinglu Wang, Yan Lu

We propose MonoGRNet for the amodal 3D object detection from a monocular RGB image via geometric reasoning in both the observed 2D projection and the unobserved depth dimension.

2D Object Detection Depth Estimation +3

MVPNet: Multi-View Point Regression Networks for 3D Object Reconstruction from A Single Image

no code implementations23 Nov 2018 Jinglu Wang, Bo Sun, Yan Lu

In this paper, we address the problem of reconstructing an object's surface from a single image using generative networks.

3D Object Reconstruction From A Single Image

Parallel Structure from Motion from Local Increment to Global Averaging

2 code implementations28 Feb 2017 Siyu Zhu, Tianwei Shen, Lei Zhou, Runze Zhang, Jinglu Wang, Tian Fang, Long Quan

In this paper, we tackle the accurate and consistent Structure from Motion (SfM) problem, in particular camera registration, far exceeding the memory of a single computer in parallel.

Structure from Motion

Higher-Order CRF Structural Segmentation of 3D Reconstructed Surfaces

no code implementations ICCV 2015 Jingbo Liu, Jinglu Wang, Tian Fang, Chiew-Lan Tai, Long Quan

In this paper, we propose a structural segmentation algorithm to partition multi-view stereo reconstructed surfaces of large-scale urban environments into structural segments.

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