research
∙
09/21/2023
Convolution and Attention Mixer for Synthetic Aperture Radar Image Change Detection
Synthetic aperture radar (SAR) image change detection is a critical task...
share
research
∙
09/20/2023
XATU: A Fine-grained Instruction-based Benchmark for Explainable Text Updates
Text editing is a crucial task that involves modifying text to better al...
research
∙
09/08/2023
Unsupervised Multi-document Summarization with Holistic Inference
Multi-document summarization aims to obtain core information from a coll...
research
∙
05/31/2023
Contrastive Hierarchical Discourse Graph for Scientific Document Summarization
The extended structural context has made scientific paper summarization ...
research
∙
05/24/2023
SummIt: Iterative Text Summarization via ChatGPT
Existing text summarization systems have made significant progress in re...
research
∙
05/02/2023
DiffuSum: Generation Enhanced Extractive Summarization with Diffusion
Extractive summarization aims to form a summary by directly extracting s...
research
∙
04/09/2023
Extractive Summarization via ChatGPT for Faithful Summary Generation
Extractive summarization is a crucial task in natural language processin...
research
∙
10/09/2022
HEGEL: Hypergraph Transformer for Long Document Summarization
Extractive summarization for long documents is challenging due to the ex...
research
∙
08/01/2022
A Rotation Meanout Network with Invariance for Dermoscopy Image Classification and Retrieval
The computer-aided diagnosis (CAD) system can provide a reference basis ...
research
∙
07/05/2022
Improving the Faithfulness of Abstractive Summarization via Entity Coverage Control
Abstractive summarization systems leveraging pre-training language model...
research
∙
04/16/2021
Histopathology WSI Encoding based on GCNs for Scalable and Efficient Retrieval of Diagnostically Relevant Regions
Content-based histopathological image retrieval (CBHIR) has become popul...
research
∙
03/29/2021
Centrality Meets Centroid: A Graph-based Approach for Unsupervised Document Summarization
Unsupervised document summarization has re-acquired lots of attention in...
research
∙
01/15/2020
Graph-Bert: Only Attention is Needed for Learning Graph Representations
The dominant graph neural networks (GNNs) over-rely on the graph links, ...
research
∙
03/23/2015
Factorization of View-Object Manifolds for Joint Object Recognition and Pose Estimation
Due to large variations in shape, appearance, and viewing conditions, ob...
research
∙
12/28/2013
Shape Primitive Histogram: A Novel Low-Level Face Representation for Face Recognition
We further exploit the representational power of Haar wavelet and presen...
research
∙
08/13/2013
Semistability-Based Convergence Analysis for Paracontracting Multiagent Coordination Optimization
This sequential technical report extends some of the previous results we...
research
∙
06/02/2013
