activity
20182025
most citedJSENet: Joint Semantic Segmentation and Edge Detection Network for 3D Point Clouds

134 citations · 273 across the 12 of their papers we have counts for

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Showing 2020Show all

6 papers · 1 filter

cs.CV2020★ 3 cited

Learning Discriminative Feature with CRF for Unsupervised Video Object Segmentation

Mingmin Zhen, Shiwei Li, Lei Zhou +4

In this paper, we introduce a novel network, called discriminative feature network (DFNet), to address the unsupervised video object segmentation task. To capture the inherent corr…

cs.CV2020★ 3 cited

Stochastic Bundle Adjustment for Efficient and Scalable 3D Reconstruction

Lei Zhou, Zixin Luo, Mingmin Zhen +5

Current bundle adjustment solvers such as the Levenberg-Marquardt (LM) algorithm are limited by the bottleneck in solving the Reduced Camera System (RCS) whose dimension is proport…

cs.CV2020★ 10 cited

Self-Supervised Monocular 3D Face Reconstruction by Occlusion-Aware Multi-view Geometry Consistency

Jiaxiang Shang, Tianwei Shen, Shiwei Li +4

Recent learning-based approaches, in which models are trained by single-view images have shown promising results for monocular 3D face reconstruction, but they suffer from the ill-…

cs.CV2020★ 134 cited

JSENet: Joint Semantic Segmentation and Edge Detection Network for 3D Point Clouds

Zeyu Hu, Mingmin Zhen, Xuyang Bai +2

Semantic segmentation and semantic edge detection can be seen as two dual problems with close relationships in computer vision. Despite the fast evolution of learning-based 3D sema…

cs.CV2020★ 18 cited

Joint Semantic Segmentation and Boundary Detection using Iterative Pyramid Contexts

Mingmin Zhen, Jinglu Wang, Lei Zhou +5

In this paper, we present a joint multi-task learning framework for semantic segmentation and boundary detection. The critical component in the framework is the iterative pyramid c…

cs.CV2020★ 3 cited

KFNet: Learning Temporal Camera Relocalization using Kalman Filtering

Lei Zhou, Zixin Luo, Tianwei Shen +5

Temporal camera relocalization estimates the pose with respect to each video frame in sequence, as opposed to one-shot relocalization which focuses on a still image. Even though th…