research
∙
08/18/2023
Point Contrastive Prediction with Semantic Clustering for Self-Supervised Learning on Point Cloud Videos
We propose a unified point cloud video self-supervised learning framewor...
share
research
∙
08/18/2023
Masked Spatio-Temporal Structure Prediction for Self-supervised Learning on Point Cloud Videos
Recently, the community has made tremendous progress in developing effec...
research
∙
08/10/2023
2D3D-MATR: 2D-3D Matching Transformer for Detection-free Registration between Images and Point Clouds
The commonly adopted detect-then-match approach to registration finds di...
research
∙
07/17/2023
Variational Probabilistic Fusion Network for RGB-T Semantic Segmentation
RGB-T semantic segmentation has been widely adopted to handle hard scene...
research
∙
05/06/2023
PointCMP: Contrastive Mask Prediction for Self-supervised Learning on Point Cloud Videos
Self-supervised learning can extract representations of good quality fro...
research
∙
04/20/2023
NTIRE 2023 Challenge on Light Field Image Super-Resolution: Dataset, Methods and Results
In this report, we summarize the first NTIRE challenge on light field (L...
research
∙
04/10/2023
Monte Carlo Linear Clustering with Single-Point Supervision is Enough for Infrared Small Target Detection
Single-frame infrared small target (SIRST) detection aims at separating ...
research
∙
04/02/2023
Robust Multiview Point Cloud Registration with Reliable Pose Graph Initialization and History Reweighting
In this paper, we present a new method for the multiview registration of...
research
∙
03/31/2023
Semi-Weakly Supervised Object Kinematic Motion Prediction
Given a 3D object, kinematic motion prediction aims to identify the mobi...
research
∙
03/06/2023
Pseudo-label Correction and Learning For Semi-Supervised Object Detection
Pseudo-Labeling has emerged as a simple yet effective technique for semi...
research
∙
02/16/2023
Learning Non-Local Spatial-Angular Correlation for Light Field Image Super-Resolution
Exploiting spatial-angular correlation is crucial to light field (LF) im...
research
∙
12/23/2022
Bridging the Domain Gap in Satellite Pose Estimation: a Self-Training Approach based on Geometrical Constraints
Recently, unsupervised domain adaptation in satellite pose estimation ha...
research
∙
09/28/2022
MTU-Net: Multi-level TransUNet for Space-based Infrared Tiny Ship Detection
Space-based infrared tiny ship detection aims at separating tiny ships f...
research
∙
06/13/2022
Learning a Degradation-Adaptive Network for Light Field Image Super-Resolution
Recent years have witnessed the great advances of deep neural networks (...
research
∙
05/22/2022
Deep Learning for Visual Speech Analysis: A Survey
Visual speech, referring to the visual domain of speech, has attracted i...
research
∙
04/25/2022
4DAC: Learning Attribute Compression for Dynamic Point Clouds
With the development of the 3D data acquisition facilities, the increasi...
research
∙
04/20/2022
NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results
In this paper, we summarize the 1st NTIRE challenge on stereo image supe...
research
∙
04/04/2022
RayMVSNet: Learning Ray-based 1D Implicit Fields for Accurate Multi-View Stereo
Learning-based multi-view stereo (MVS) has by far centered around 3D con...
research
∙
04/02/2022
Semantic-Aware Domain Generalized Segmentation
Deep models trained on source domain lack generalization when evaluated ...
research
∙
03/21/2022
Not All Points Are Equal: Learning Highly Efficient Point-based Detectors for 3D LiDAR Point Clouds
We study the problem of efficient object detection of 3D LiDAR point clo...
research
∙
03/20/2022
Depth Estimation by Combining Binocular Stereo and Monocular Structured-Light
It is well known that the passive stereo system cannot adapt well to wea...
research
∙
03/17/2022
3DAC: Learning Attribute Compression for Point Clouds
We study the problem of attribute compression for large-scale unstructur...
research
∙
03/03/2022
Occlusion-Aware Cost Constructor for Light Field Depth Estimation
Matching cost construction is a key step in light field (LF) depth estim...
research
∙
02/22/2022
Disentangling Light Fields for Super-Resolution and Disparity Estimation
Light field (LF) cameras record both intensity and directions of light r...
research
∙
02/14/2022
Geometric Transformer for Fast and Robust Point Cloud Registration
We study the problem of extracting accurate correspondences for point cl...
research
∙
01/09/2022
Box2Seg: Learning Semantics of 3D Point Clouds with Box-Level Supervision
Learning dense point-wise semantics from unstructured 3D point clouds wi...
research
∙
01/08/2022
Decoupling Makes Weakly Supervised Local Feature Better
Weakly supervised learning can help local feature methods to overcome th...
research
∙
11/25/2021
Detecting and Tracking Small and Dense Moving Objects in Satellite Videos: A Benchmark
Satellite video cameras can provide continuous observation for a large-s...
research
∙
10/19/2021
Spatial-Temporal Transformer for 3D Point Cloud Sequences
Effective learning of spatial-temporal information within a point cloud ...
research
∙
08/09/2021
Selective Light Field Refocusing for Camera Arrays Using Bokeh Rendering and Superresolution
Camera arrays provide spatial and angular information within a single sn...
research
∙
07/30/2021
Sparse-to-dense Feature Matching: Intra and Inter domain Cross-modal Learning in Domain Adaptation for 3D Semantic Segmentation
Domain adaptation is critical for success when confronting with the lack...
research
∙
06/01/2021
Dense Nested Attention Network for Infrared Small Target Detection
Single-frame infrared small target (SIRST) detection aims at separating ...
research
∙
04/01/2021
Unsupervised Degradation Representation Learning for Blind Super-Resolution
Most existing CNN-based super-resolution (SR) methods are developed base...
research
∙
01/26/2021
Deep Learning for Scene Classification: A Survey
Scene classification, aiming at classifying a scene image to one of the ...
research
∙
01/01/2021
Bilateral Grid Learning for Stereo Matching Network
The real-time performance of the stereo matching network is important fo...
research
∙
11/24/2020
SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration
Extracting robust and general 3D local features is key to downstream tas...
research
∙
11/07/2020
Symmetric Parallax Attention for Stereo Image Super-Resolution
Although recent years have witnessed the great advances in stereo image ...
research
∙
10/18/2020
Distortion-aware Monocular Depth Estimation for Omnidirectional Images
A main challenge for tasks on panorama lies in the distortion of objects...
research
∙
10/11/2020
A Practical Guide to Graph Neural Networks
Graph neural networks (GNNs) have recently grown in popularity in the fi...
research
∙
09/16/2020
Parallax Attention for Unsupervised Stereo Correspondence Learning
Stereo image pairs encode 3D scene cues into stereo correspondences betw...
research
∙
08/05/2020
Axiom-based Grad-CAM: Towards Accurate Visualization and Explanation of CNNs
To have a better understanding and usage of Convolution Neural Networks ...
research
∙
07/07/2020
Light Field Image Super-Resolution Using Deformable Convolution
Light field (LF) cameras can record scenes from multiple perspectives, a...
research
∙
06/20/2020
Pseudo-LiDAR Point Cloud Interpolation Based on 3D Motion Representation and Spatial Supervision
Pseudo-LiDAR point cloud interpolation is a novel and challenging task i...
research
∙
06/17/2020
Learning Sparse Masks for Efficient Image Super-Resolution
Current CNN-based super-resolution (SR) methods process all locations eq...
research
∙
05/26/2020
Learning Local Features with Context Aggregation for Visual Localization
Keypoint detection and description is fundamental yet important in many ...
research
∙
04/08/2020
Learning for Scale-Arbitrary Super-Resolution from Scale-Specific Networks
Recently, the performance of single image super-resolution (SR) has been...
research
∙
04/06/2020
Deformable 3D Convolution for Video Super-Resolution
The spatio-temporal information among video sequences is significant for...
research
∙
01/06/2020
Deep Video Super-Resolution using HR Optical Flow Estimation
Video super-resolution (SR) aims at generating a sequence of high-resolu...
research
∙
12/27/2019
Deep Learning for 3D Point Clouds: A Survey
Point cloud learning has lately attracted increasing attention due to it...
research
∙
12/17/2019