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06/01/2023
NeuroGF: A Neural Representation for Fast Geodesic Distance and Path Queries
Geodesics are essential in many geometry processing applications. Howeve...
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01/22/2023
Bidirectional Propagation for Cross-Modal 3D Object Detection
Recent works have revealed the superiority of feature-level fusion for c...
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12/29/2022
Self-Supervised Pre-training for 3D Point Clouds via View-Specific Point-to-Image Translation
The past few years have witnessed the prevalence of self-supervised repr...
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12/17/2022
Flattening-Net: Deep Regular 2D Representation for 3D Point Cloud Analysis
Point clouds are characterized by irregularity and unstructuredness, whi...
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12/01/2022
Leveraging Single-View Images for Unsupervised 3D Point Cloud Completion
Point clouds captured by scanning devices are often incomplete due to oc...
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07/07/2022
Multi-View Vision-to-Geometry Knowledge Transfer for 3D Point Cloud Shape Analysis
As two fundamental representation modalities of 3D objects, 2D multi-vie...
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07/06/2022
GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty Estimation
The inherent ambiguity in ground-truth annotations of 3D bounding boxes ...
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03/24/2022
WarpingGAN: Warping Multiple Uniform Priors for Adversarial 3D Point Cloud Generation
We propose WarpingGAN, an effective and efficient 3D point cloud generat...
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03/22/2022
IDEA-Net: Dynamic 3D Point Cloud Interpolation via Deep Embedding Alignment
This paper investigates the problem of temporally interpolating dynamic ...
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12/05/2020
ParaNet: Deep Regular Representation for 3D Point Clouds
Although convolutional neural networks have achieved remarkable success ...
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11/26/2020
Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images
Despite the remarkable advances in visual saliency analysis for natural ...
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11/10/2020
CoADNet: Collaborative Aggregation-and-Distribution Networks for Co-Salient Object Detection
Co-Salient Object Detection (CoSOD) aims at discovering salient objects ...
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05/01/2020