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08/10/2023
Enhancing Low-light Light Field Images with A Deep Compensation Unfolding Network
This paper presents a novel and interpretable end-to-end learning framew...
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07/23/2023
Downstream-agnostic Adversarial Examples
Self-supervised learning usually uses a large amount of unlabeled data t...
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07/09/2023
Cross-modal Orthogonal High-rank Augmentation for RGB-Event Transformer-trackers
This paper addresses the problem of cross-modal object tracking from RGB...
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07/01/2023
Spatial-Temporal Enhanced Transformer Towards Multi-Frame 3D Object Detection
The Detection Transformer (DETR) has revolutionized the design of CNN-ba...
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06/15/2023
Probabilistic-based Feature Embedding of 4-D Light Fields for Compressive Imaging and Denoising
The high-dimensional nature of the 4-D light field (LF) poses great chal...
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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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06/01/2023
Unleash the Potential of 3D Point Cloud Modeling with A Calibrated Local Geometry-driven Distance Metric
Quantifying the dissimilarity between two unstructured 3D point clouds i...
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04/04/2023
Decoupling Dynamic Monocular Videos for Dynamic View Synthesis
The challenge of dynamic view synthesis from dynamic monocular videos, i...
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03/24/2023
GQE-Net: A Graph-based Quality Enhancement Network for Point Cloud Color Attribute
In recent years, point clouds have become increasingly popular for repre...
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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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01/15/2023
Deep Diversity-Enhanced Feature Representation of Hyperspectral Images
In this paper, we study the problem of embedding the high-dimensional sp...
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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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12/20/2022
A Comprehensive Study and Comparison of the Robustness of 3D Object Detectors Against Adversarial Attacks
Deep learning-based 3D object detectors have made significant progress i...
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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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11/30/2022
GeoUDF: Surface Reconstruction from 3D Point Clouds via Geometry-guided Distance Representation
The recent neural implicit representation-based methods have greatly adv...
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11/22/2022
PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models Against Adversarial Examples
Point cloud completion, as the upstream procedure of 3D recognition and ...
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11/19/2022
Graph Augmentation Clustering Network
Existing graph clustering networks heavily rely on a predefined graph an...
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09/12/2022
Learning A Unified 3D Point Cloud for View Synthesis
3D point cloud representation-based view synthesis methods have demonstr...
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07/12/2022
CorrI2P: Deep Image-to-Point Cloud Registration via Dense Correspondence
Motivated by the intuition that the critical step of localizing a 2D ima...
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07/09/2022
Rank-Enhanced Low-Dimensional Convolution Set for Hyperspectral Image Denoising
This paper tackles the challenging problem of hyperspectral (HS) image d...
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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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06/04/2022
Occlusion-Resistant Instance Segmentation of Piglets in Farrowing Pens Using Center Clustering Network
Computer vision enables the development of new approaches to monitor the...
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05/30/2022
Deep Posterior Distribution-based Embedding for Hyperspectral Image Super-resolution
In this paper, we investigate the problem of hyperspectral (HS) image sp...
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05/21/2022
Semi-Supervised Subspace Clustering via Tensor Low-Rank Representation
In this letter, we propose a novel semi-supervised subspace clustering m...
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03/29/2022
Light Field Depth Estimation Based on Stitched-EPI
Depth estimation is one of the most essential problems for light field a...
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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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03/02/2022
PUFA-GAN: A Frequency-Aware Generative Adversarial Network for 3D Point Cloud Upsampling
We propose a generative adversarial network for point cloud upsampling, ...
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01/22/2022
Content-aware Warping for View Synthesis
Existing image-based rendering methods usually adopt depth-based image w...
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11/10/2021
Deep Attention-guided Graph Clustering with Dual Self-supervision
Existing deep embedding clustering works only consider the deepest layer...
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09/28/2021
Adaptive Attribute and Structure Subspace Clustering Network
Deep self-expressiveness-based subspace clustering methods have demonstr...
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08/25/2021
Superpixel-guided Discriminative Low-rank Representation of Hyperspectral Images for Classification
In this paper, we propose a novel classification scheme for the remotely...
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08/17/2021
Learning Dynamic Interpolation for Extremely Sparse Light Fields with Wide Baselines
In this paper, we tackle the problem of dense light field (LF) reconstru...
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08/15/2021
Semantic-embedded Unsupervised Spectral Reconstruction from Single RGB Images in the Wild
This paper investigates the problem of reconstructing hyperspectral (HS)...
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08/12/2021
Deep Amended Gradient Descent for Efficient Spectral Reconstruction from Single RGB Images
This paper investigates the problem of recovering hyperspectral (HS) ima...
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08/12/2021
Attention-driven Graph Clustering Network
The combination of the traditional convolutional network (i.e., an auto-...
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07/13/2021
Attention-Guided Progressive Neural Texture Fusion for High Dynamic Range Image Restoration
High Dynamic Range (HDR) imaging via multi-exposure fusion is an importa...
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07/13/2021
PU-Flow: a Point Cloud Upsampling Networkwith Normalizing Flows
Point cloud upsampling aims to generate dense point clouds from given sp...
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06/06/2021
Occlusion-aware Unsupervised Learning of Depth from 4-D Light Fields
Depth estimation is a fundamental issue in 4-D light field processing an...
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04/27/2021
Underwater Image Enhancement via Medium Transmission-Guided Multi-Color Space Embedding
Underwater images suffer from color casts and low contrast due to wavele...
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03/02/2021
Self-supervised Symmetric Nonnegative Matrix Factorization
Symmetric nonnegative matrix factorization (SNMF) has demonstrated to be...
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02/14/2021
Light Field Reconstruction via Attention-Guided Deep Fusion of Hybrid Lenses
This paper explores the problem of reconstructing high-resolution light ...
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12/31/2020
CorrNet3D: Unsupervised End-to-end Learning of Dense Correspondence for 3D Point Clouds
This paper addresses the problem of computing dense correspondence betwe...
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12/16/2020
Clustering Ensemble Meets Low-rank Tensor Approximation
This paper explores the problem of clustering ensemble, which aims to co...
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12/06/2020
Maximum Entropy Subspace Clustering Network
Deep subspace clustering network (DSC-Net) and its numerous variants hav...
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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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11/25/2020
Deep Magnification-Arbitrary Upsampling over 3D Point Clouds
This paper addresses the problem of generating dense point clouds from g...
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11/25/2020