research
∙
09/15/2023
Detail Reinforcement Diffusion Model: Augmentation Fine-Grained Visual Categorization in Few-Shot Conditions
The challenge in fine-grained visual categorization lies in how to explo...
share
research
∙
09/06/2023
Towards Unsupervised Graph Completion Learning on Graphs with Features and Structure Missing
In recent years, graph neural networks (GNN) have achieved significant d...
research
∙
04/11/2023
Another Vertical View: A Hierarchical Network for Heterogeneous Trajectory Prediction via Spectrums
With the fast development of AI-related techniques, the applications of ...
research
∙
03/27/2023
Semantic-visual Guided Transformer for Few-shot Class-incremental Learning
Few-shot class-incremental learning (FSCIL) has recently attracted exten...
research
∙
02/16/2023
Self-supervised Guided Hypergraph Feature Propagation for Semi-supervised Classification with Missing Node Features
Graph neural networks (GNNs) with missing node features have recently re...
research
∙
09/26/2022
Deep Manifold Hashing: A Divide-and-Conquer Approach for Semi-Paired Unsupervised Cross-Modal Retrieval
Hashing that projects data into binary codes has shown extraordinary tal...
research
∙
03/07/2022
MSDN: Mutually Semantic Distillation Network for Zero-Shot Learning
The key challenge of zero-shot learning (ZSL) is how to infer the latent...
research
∙
02/17/2022
CSCNet: Contextual Semantic Consistency Network for Trajectory Prediction in Crowded Spaces
Trajectory prediction aims to predict the movement trend of the agents l...
research
∙
10/14/2021
View Vertically: A Hierarchical Network for Trajectory Prediction via Fourier Spectrums
Learning to understand and predict future motions or behaviors for agent...
research
∙
07/29/2021
FREE: Feature Refinement for Generalized Zero-Shot Learning
Generalized zero-shot learning (GZSL) has achieved significant progress,...
research
∙
07/02/2021
MSN: Multi-Style Network for Trajectory Prediction
It is essential but challenging to predict future trajectories of variou...
research
∙
10/08/2020
BGM: Building a Dynamic Guidance Map without Visual Images for Trajectory Prediction
Visual images usually contain the informative context of the environment...
research
∙
03/22/2020
Modal Regression based Structured Low-rank Matrix Recovery for Multi-view Learning
Low-rank Multi-view Subspace Learning (LMvSL) has shown great potential ...
research
∙
03/13/2020
A Spatial-Temporal Attentive Network with Spatial Continuity for Trajectory Prediction
It remains challenging to automatically predict the multi-agent trajecto...
research
∙
11/11/2019
Similarity-DT: Kernel Similarity Embedding for Dynamic Texture Synthesis
Dynamic texture (DT) exhibits statistical stationarity in the spatial do...
research
∙
05/29/2019
Closed-Loop Adaptation for Weakly-Supervised Semantic Segmentation
Weakly-supervised semantic segmentation aims to assign each pixel a sema...
research
∙
03/21/2019
Fast and accurate reconstruction of HARDI using a 1D encoder-decoder convolutional network
High angular resolution diffusion imaging (HARDI) demands a lager amount...
research
∙
01/05/2019
Fully-automatic segmentation of kidneys in clinical ultrasound images using a boundary distance regression network
It remains challenging to automatically segment kidneys in clinical ultr...
research
∙
11/12/2018
Subsequent Boundary Distance Regression and Pixelwise Classification Networks for Automatic Kidney Segmentation in Ultrasound Images
It remains challenging to automatically segment kidneys in clinical ultr...
research
∙
05/21/2018
