research
∙
08/29/2023
Exploring the Limits of Historical Information for Temporal Knowledge Graph Extrapolation
Temporal knowledge graphs, representing the dynamic relationships and in...
share
research
∙
05/01/2023
GTree: GPU-Friendly Privacy-preserving Decision Tree Training and Inference
Decision tree (DT) is a widely used machine learning model due to its ve...
research
∙
02/21/2023
Bokeh Rendering Based on Adaptive Depth Calibration Network
Bokeh rendering is a popular and effective technique used in photography...
research
∙
12/14/2022
Cross-Modal Similarity-Based Curriculum Learning for Image Captioning
Image captioning models require the high-level generalization ability to...
research
∙
09/22/2022
Learning swimming via deep reinforcement learning
For decades, people have been seeking for fishlike flapping motions that...
research
∙
08/30/2022
ASpanFormer: Detector-Free Image Matching with Adaptive Span Transformer
Generating robust and reliable correspondences across images is a fundam...
research
∙
05/12/2022
Economical Precise Manipulation and Auto Eye-Hand Coordination with Binocular Visual Reinforcement Learning
Precision robotic manipulation tasks (insertion, screwing, precisely pic...
research
∙
03/30/2022
PEGG-Net: Background Agnostic Pixel-Wise Efficient Grasp Generation Under Closed-Loop Conditions
Performing closed-loop grasping at close proximity to an object requires...
research
∙
03/02/2022
EnclaveTree: Privacy-preserving Data Stream Training and Inference Using TEE
The classification service over a stream of data is becoming an importan...
research
∙
09/27/2021
Half a Dozen Real-World Applications of Evolutionary Multitasking and More
Until recently, the potential to transfer evolved skills across distinct...
research
∙
08/19/2021
Learning to Match Features with Seeded Graph Matching Network
Matching local features across images is a fundamental problem in comput...
research
∙
05/10/2021
Self-Guided Curriculum Learning for Neural Machine Translation
In the field of machine learning, the well-trained model is assumed to b...
research
∙
03/15/2021
Cascaded Feature Warping Network for Unsupervised Medical Image Registration
Deformable image registration is widely utilized in medical image analys...
research
∙
03/09/2021
PointDSC: Robust Point Cloud Registration using Deep Spatial Consistency
Removing outlier correspondences is one of the critical steps for succes...
research
∙
10/10/2020
Zero-Shot Translation Quality Estimation with Explicit Cross-Lingual Patterns
This paper describes our submission of the WMT 2020 Shared Task on Sente...
research
∙
09/16/2020
Information Bottleneck Constrained Latent Bidirectional Embedding for Zero-Shot Learning
Zero-shot learning (ZSL) aims to recognize novel classes by transferring...
research
∙
08/04/2020
Learning Discriminative Feature with CRF for Unsupervised Video Object Segmentation
In this paper, we introduce a novel network, called discriminative featu...
research
∙
08/02/2020
Stochastic Bundle Adjustment for Efficient and Scalable 3D Reconstruction
Current bundle adjustment solvers such as the Levenberg-Marquardt (LM) a...
research
∙
07/24/2020
Self-Supervised Monocular 3D Face Reconstruction by Occlusion-Aware Multi-view Geometry Consistency
Recent learning-based approaches, in which models are trained by single-...
research
∙
05/26/2020
End-to-end Optimized Video Compression with MV-Residual Prediction
We present an end-to-end trainable framework for P-frame compression in ...
research
∙
04/16/2020
Joint Semantic Segmentation and Boundary Detection using Iterative Pyramid Contexts
In this paper, we present a joint multi-task learning framework for sema...
research
∙
03/24/2020
KFNet: Learning Temporal Camera Relocalization using Kalman Filtering
Temporal camera relocalization estimates the pose with respect to each v...
research
∙
03/23/2020
ASLFeat: Learning Local Features of Accurate Shape and Localization
This work focuses on mitigating two limitations in the joint learning of...
research
∙
03/06/2020
D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features
A successful point cloud registration often lies on robust establishment...
research
∙
11/22/2019
BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo Networks
While deep learning has recently achieved great success on multi-view st...
research
∙
09/19/2019
Self-Supervised Learning of Depth and Motion Under Photometric Inconsistency
The self-supervised learning of depth and pose from monocular sequences ...
research
∙
08/14/2019
Learning Two-View Correspondences and Geometry Using Order-Aware Network
Establishing correspondences between two images requires both local and ...
research
∙
06/18/2019
A One-step Pruning-recovery Framework for Acceleration of Convolutional Neural Networks
Acceleration of convolutional neural network has received increasing att...
research
∙
05/22/2019
Learning Fully Dense Neural Networks for Image Semantic Segmentation
Semantic segmentation is pixel-wise classification which retains critica...
research
∙
04/08/2019
ContextDesc: Local Descriptor Augmentation with Cross-Modality Context
Most existing studies on learning local features focus on the patch-base...
research
∙
02/25/2019
Beyond Photometric Loss for Self-Supervised Ego-Motion Estimation
Accurate relative pose is one of the key components in visual odometry (...
research
∙
11/26/2018
Matchable Image Retrieval by Learning from Surface Reconstruction
Convolutional Neural Networks (CNNs) have achieved superior performance ...
research
∙
07/17/2018
GeoDesc: Learning Local Descriptors by Integrating Geometry Constraints
Learned local descriptors based on Convolutional Neural Networks (CNNs) ...
research
∙
07/16/2018
Learning and Matching Multi-View Descriptors for Registration of Point Clouds
Critical to the registration of point clouds is the establishment of a s...
research
∙
03/15/2018
Exploring Linear Relationship in Feature Map Subspace for ConvNets Compression
While the research on convolutional neural networks (CNNs) is progressin...
research
∙
03/15/2018
Fast Subspace Clustering Based on the Kronecker Product
Subspace clustering is a useful technique for many computer vision appli...
research
∙
08/12/2017
Face Parsing via a Fully-Convolutional Continuous CRF Neural Network
In this work, we address the face parsing task with a Fully-Convolutiona...
research
∙
02/28/2017