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20142022
most citedT-CNN: Tubelets with Convolutional Neural Networks for Object Detection from Videos

577 citations · 1.3k across the 24 of their papers we have counts for

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Showing 2019Show all

7 papers · 1 filter

cs.CV2019★ 30 cited

Learning Depth-Guided Convolutions for Monocular 3D Object Detection

Mingyu Ding, Yuqi Huo, Hongwei Yi +4

3D object detection from a single image without LiDAR is a challenging task due to the lack of accurate depth information. Conventional 2D convolutions are unsuitable for this task…

cs.CV2019★ 185 cited

PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection

Shaoshuai Shi, Chaoxu Guo, Li Jiang +4

We present a novel and high-performance 3D object detection framework, named PointVoxel-RCNN (PV-RCNN), for accurate 3D object detection from point clouds. Our proposed method deep…

cs.CV2019★ 1 cited

Every Frame Counts: Joint Learning of Video Segmentation and Optical Flow

Mingyu Ding, Zhe Wang, Bolei Zhou +3

A major challenge for video semantic segmentation is the lack of labeled data. In most benchmark datasets, only one frame of a video clip is annotated, which makes most supervised…

cs.CV2019★ 13 cited

Robust Multi-Modality Multi-Object Tracking

Wenwei Zhang, Hui Zhou, Shuyang Sun +3

Multi-sensor perception is crucial to ensure the reliability and accuracy in autonomous driving system, while multi-object tracking (MOT) improves that by tracing sequential moveme…

eess.IV2019★ 10 cited

FocusNet: Imbalanced Large and Small Organ Segmentation with an End-to-End Deep Neural Network for Head and Neck CT Images

Yunhe Gao, Rui Huang, Ming Chen +7

In this paper, we propose an end-to-end deep neural network for solving the problem of imbalanced large and small organ segmentation in head and neck (HaN) CT images. To conduct ra…

cs.CV2019★ 99 cited

From Points to Parts: 3D Object Detection from Point Cloud with Part-aware and Part-aggregation Network

Shaoshuai Shi, Zhe Wang, Jianping Shi +2

3D object detection from LiDAR point cloud is a challenging problem in 3D scene understanding and has many practical applications. In this paper, we extend our preliminary work Poi…

cs.LG2019★ 7 cited

A^2-Net: Molecular Structure Estimation from Cryo-EM Density Volumes

Kui Xu, Zhe Wang, Jiangping Shi +2

Constructing of molecular structural models from Cryo-Electron Microscopy (Cryo-EM) density volumes is the critical last step of structure determination by Cryo-EM technologies. Me…