output
20152024
most citedThe Liver Tumor Segmentation Benchmark (LiTS)

1.2k citations

Showing 2019Show all

16 papers · 1 filter

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★ 29 cited

PPDM: Parallel Point Detection and Matching for Real-time Human-Object Interaction Detection

Yue Liao, Si Liu, Fei Wang +3

We propose a single-stage Human-Object Interaction (HOI) detection method that has outperformed all existing methods on HICO-DET dataset at 37 fps on a single Titan XP GPU. It is t…

cs.CV2019★ 20 cited

Side-Aware Boundary Localization for More Precise Object Detection

Jiaqi Wang, Wenwei Zhang, Yuhang Cao +6

Current object detection frameworks mainly rely on bounding box regression to localize objects. Despite the remarkable progress in recent years, the precision of bounding box regre…

eess.IV2019

Large-scale Gastric Cancer Screening and Localization Using Multi-task Deep Neural Network

Hong Yu, Xiaofan Zhang, Lingjun Song +20

Gastric cancer is one of the most common cancers, which ranks third among the leading causes of cancer death. Biopsy of gastric mucosa is a standard procedure in gastric cancer scr…

cs.CV2019★ 24 cited

Gradual Network for Single Image De-raining

Zhe Huang, Weijiang Yu, Wayne Zhang +2

Most advances in single image de-raining meet a key challenge, which is removing rain streaks with different scales and shapes while preserving image details. Existing single image…

cs.CV2019★ 26 cited

Forward and Backward Information Retention for Accurate Binary Neural Networks

Haotong Qin, Ruihao Gong, Xianglong Liu +4

Weight and activation binarization is an effective approach to deep neural network compression and can accelerate the inference by leveraging bitwise operations. Although many bina…