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03/31/2023
Joint Depth Estimation and Mixture of Rain Removal From a Single Image
Rainy weather significantly deteriorates the visibility of scene objects...
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03/18/2023
Local-to-Global Panorama Inpainting for Locale-Aware Indoor Lighting Prediction
Predicting panoramic indoor lighting from a single perspective image is ...
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03/10/2023
Self-NeRF: A Self-Training Pipeline for Few-Shot Neural Radiance Fields
Recently, Neural Radiance Fields (NeRF) have emerged as a potent method ...
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08/04/2022
UTOPIC: Uncertainty-aware Overlap Prediction Network for Partial Point Cloud Registration
High-confidence overlap prediction and accurate correspondences are crit...
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06/09/2022
AGConv: Adaptive Graph Convolution on 3D Point Clouds
Convolution on 3D point clouds is widely researched yet far from perfect...
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03/18/2022
Completing Partial Point Clouds with Outliers by Collaborative Completion and Segmentation
Most existing point cloud completion methods are only applicable to part...
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03/17/2022
Deep Point Cloud Simplification for High-quality Surface Reconstruction
The growing size of point clouds enlarges consumptions of storage, trans...
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02/13/2022
Deep Graph Learning for Spatially-Varying Indoor Lighting Prediction
Lighting prediction from a single image is becoming increasingly importa...
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02/06/2022
GLPanoDepth: Global-to-Local Panoramic Depth Estimation
In this paper, we propose a learning-based method for predicting dense d...
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07/26/2021
Transductive Maximum Margin Classifier for Few-Shot Learning
Few-shot learning aims to train a classifier that can generalize well wh...
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07/26/2021
Temporal Alignment Prediction for Few-Shot Video Classification
The goal of few-shot video classification is to learn a classification m...
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02/24/2021
Rendering Discrete Participating Media with Geometrical Optics Approximation
We consider the scattering of light in participating media composed of s...
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01/31/2021
A Unified Light Framework for Real-time Fault Detection of Freight Train Images
Real-time fault detection for freight trains plays a vital role in guara...
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12/10/2020
Tensor Composition Net for Visual Relationship Prediction
We present a novel Tensor Composition Network (TCN) to predict visual re...
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08/04/2020
Hierarchical Context Embedding for Region-based Object Detection
State-of-the-art two-stage object detectors apply a classifier to a spar...
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07/06/2020
Image Stitching Based on Planar Region Consensus
Image stitching for two images without a global transformation between t...
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06/24/2020
Affinity Fusion Graph-based Framework for Natural Image Segmentation
This paper proposes an affinity fusion graph framework to effectively co...
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05/17/2020
FA-GANs: Facial Attractiveness Enhancement with Generative Adversarial Networks on Frontal Faces
Facial attractiveness enhancement has been an interesting application in...
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03/27/2020
Hybrid Models for Open Set Recognition
Open set recognition requires a classifier to detect samples not belongi...
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04/07/2019
Multi-Label Image Recognition with Graph Convolutional Networks
The task of multi-label image recognition is to predict a set of object ...
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03/06/2017
Viewpoint Selection for Photographing Architectures
This paper studies the problem of how to choose good viewpoints for taki...
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02/28/2017
A Data-driven Approach for Furniture and Indoor Scene Colorization
We present a data-driven approach that colorizes 3D furniture models and...
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02/21/2017
Learning to Generate Posters of Scientific Papers by Probabilistic Graphical Models
Researchers often summarize their work in the form of scientific posters...
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04/05/2016
Learning to Generate Posters of Scientific Papers
Researchers often summarize their work in the form of posters. Posters p...
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05/25/2014