Results 281 to 290 of about 1,468,899 (328)

Gaussian Grouping: Segment and Edit Anything in 3D Scenes

European Conference on Computer Vision, 2023
The recent Gaussian Splatting achieves high-quality and real-time novel-view synthesis of the 3D scenes. However, it is solely concentrated on the appearance and geometry modeling, while lacking in fine-grained object-level scene understanding.
Mingqiao Ye   +3 more
semanticscholar   +1 more source

A Fast Neighborhood Grouping Method for Hyperspectral Band Selection

IEEE Transactions on Geoscience and Remote Sensing, 2021
Hyperspectral images can provide dozens to hundreds of continuous spectral bands, so the richness of information has been greatly improved. However, these bands lead to increasing complexity of data processing, and the redundancy of adjacent bands is ...
Qi Wang, Qiang Li, Xuelong Li
semanticscholar   +1 more source

An Efficient Recursive Differential Grouping for Large-Scale Continuous Problems

IEEE Transactions on Evolutionary Computation, 2021
Cooperative co-evolution (CC) is an efficient and practical evolutionary framework for solving large-scale optimization problems. The performance of CC is affected by the variable decomposition.
Ming Yang   +3 more
semanticscholar   +1 more source

Differentiable Hierarchical Graph Grouping for Multi-Person Pose Estimation

European Conference on Computer Vision, 2020
Multi-person pose estimation is challenging because it localizes body keypoints for multiple persons simultaneously. Previous methods can be divided into two streams, i.e. top-down and bottom-up methods.
Sheng Jin   +6 more
semanticscholar   +1 more source

Groups Acting on Groups

Algebra and Logic, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Deaconescu, M., Walls, G. L.
openaire   +2 more sources

Instance-level Human Parsing via Part Grouping Network

European Conference on Computer Vision, 2018
Instance-level human parsing towards real-world human analysis scenarios is still under-explored due to the absence of sufficient data resources and technical difficulty in parsing multiple instances in a single pass. Several related works all follow the
Ke Gong   +5 more
semanticscholar   +1 more source

See-Through-Text Grouping for Referring Image Segmentation

IEEE International Conference on Computer Vision, 2019
Motivated by the conventional grouping techniques to image segmentation, we develop their DNN counterpart to tackle the referring variant. The proposed method is driven by a convolutional-recurrent neural network (ConvRNN) that iteratively carries out ...
Ding-Jie Chen   +4 more
semanticscholar   +1 more source

SGN: Sequential Grouping Networks for Instance Segmentation

IEEE International Conference on Computer Vision, 2017
In this paper, we propose Sequential Grouping Networks (SGN) to tackle the problem of object instance segmentation. SGNs employ a sequence of neural networks, each solving a sub-grouping problem of increasing semantic complexity in order to gradually ...
Shu Liu   +3 more
semanticscholar   +1 more source

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