research
∙
08/23/2023
SILT: Shadow-aware Iterative Label Tuning for Learning to Detect Shadows from Noisy Labels
Existing shadow detection datasets often contain missing or mislabeled s...
share
research
∙
08/03/2023
Baby's CoThought: Leveraging Large Language Models for Enhanced Reasoning in Compact Models
Large Language Models (LLMs) demonstrate remarkable performance on a var...
research
∙
07/24/2023
CLIP-KD: An Empirical Study of Distilling CLIP Models
CLIP has become a promising language-supervised visual pre-training fram...
research
∙
07/08/2023
Compression Performance Analysis of Different File Formats
In data storage and transmission, file compression is a common technique...
research
∙
03/16/2023
NLUT: Neural-based 3D Lookup Tables for Video Photorealistic Style Transfer
Video photorealistic style transfer is desired to generate videos with a...
research
∙
03/15/2023
Lung Nodule Segmentation and Low-Confidence Region Prediction with Uncertainty-Aware Attention Mechanism
Radiologists have different training and clinical experiences, so they m...
research
∙
10/31/2022
LAD-RCNN:A Powerful Tool for Livestock Face Detection and Normalization
With the demand for standardized large-scale livestock farming and the d...
research
∙
06/15/2022
Pareto Invariant Risk Minimization
Despite the success of invariant risk minimization (IRM) in tackling the...
research
∙
02/16/2022
Understanding and Improving Graph Injection Attack by Promoting Unnoticeability
Recently Graph Injection Attack (GIA) emerges as a practical attack scen...
research
∙
02/11/2022
Invariance Principle Meets Out-of-Distribution Generalization on Graphs
Despite recent developments in using the invariance principle from causa...
research
∙
10/24/2021
Uncertainty-Aware Lung Nodule Segmentation with Multiple Annotations
Since radiologists have different training and clinical experience, they...
research
∙
03/17/2021
Disentangled Cycle Consistency for Highly-realistic Virtual Try-On
Image virtual try-on replaces the clothes on a person image with a desir...
research
∙
01/27/2021
Improving Graph Representation Learning by Contrastive Regularization
Graph representation learning is an important task with applications in ...
research
∙
12/16/2020
Time-Continuous Energy-Conservation Neural Network for Structural Dynamics Analysis
Fast and accurate structural dynamics analysis is important for structur...
research
∙
09/04/2020
Rethinking Graph Regularization For Graph Neural Networks
The graph Laplacian regularization term is usually used in semi-supervis...
research
∙
03/19/2020
CPR-GCN: Conditional Partial-Residual Graph Convolutional Network in Automated Anatomical Labeling of Coronary Arteries
Automated anatomical labeling plays a vital role in coronary artery dise...
research
∙
03/12/2020
Towards Photo-Realistic Virtual Try-On by Adaptively Generating↔Preserving Image Content
Image visual try-on aims at transferring a target clothing image onto a ...
research
∙
02/18/2020
Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs
Graph neural networks (GNNs) have received much attention recently becau...
research
∙
01/31/2020
Convolutional Embedding for Edit Distance
Edit-distance-based string similarity search has many applications such ...
research
∙
01/31/2020
Edit Distance Embedding using Convolutional Neural Networks
Edit-distance-based string similarity search has many applications such ...
research
∙
09/18/2019
Hypergraph partitions
We suggest a reduction of the combinatorial problem of hypergraph partit...
research
∙
07/24/2017