activity
20182022
most citedS3D: Single Shot multi-Span Detector via Fully 3D Convolutional Networks

42 citations · 49 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2022

BInGo: Bayesian Intrinsic Groupwise Registration via Explicit Hierarchical Disentanglement

Xin Wang, Xinzhe Luo, Xiahai Zhuang

Multimodal groupwise registration aligns internal structures in a group of medical images. Current approaches to this problem involve developing similarity measures over the joint…

cs.CV2021

VMNet: Voxel-Mesh Network for Geodesic-Aware 3D Semantic Segmentation

Zeyu Hu, Xuyang Bai, Jiaxiang Shang +6

In recent years, sparse voxel-based methods have become the state-of-the-arts for 3D semantic segmentation of indoor scenes, thanks to the powerful 3D CNNs. Nevertheless, being obl…

cs.CV2020★ 4 cited

Attention Aware Cost Volume Pyramid Based Multi-view Stereo Network for 3D Reconstruction

Anzhu Yu, Wenyue Guo, Bing Liu +4

We present an efficient multi-view stereo (MVS) network for 3D reconstruction from multiview images. While previous learning based reconstruction approaches performed quite well, m…

cs.CV2018★ 42 cited

S3D: Single Shot multi-Span Detector via Fully 3D Convolutional Networks

Da Zhang, Xiyang Dai, Xin Wang +1

In this paper, we present a novel Single Shot multi-Span Detector for temporal activity detection in long, untrimmed videos using a simple end-to-end fully three-dimensional convol…

cs.RO2018

PSDF Fusion: Probabilistic Signed Distance Function for On-the-fly 3D Data Fusion and Scene Reconstruction

Wei Dong, Qiuyuan Wang, Xin Wang +1

We propose a novel 3D spatial representation for data fusion and scene reconstruction. Probabilistic Signed Distance Function (Probabilistic SDF, PSDF) is proposed to depict uncert…

cs.CV2018★ 3 cited

Accel: A Corrective Fusion Network for Efficient Semantic Segmentation on Video

Samvit Jain, Xin Wang, Joseph Gonzalez

We present Accel, a novel semantic video segmentation system that achieves high accuracy at low inference cost by combining the predictions of two network branches: (1) a reference…