research
∙
08/26/2023
Translate Meanings, Not Just Words: IdiomKB's Role in Optimizing Idiomatic Translation with Language Models
To translate well, machine translation (MT) systems and general-purposed...
share
research
∙
05/25/2023
Demystifying Oversmoothing in Attention-Based Graph Neural Networks
Oversmoothing in Graph Neural Networks (GNNs) refers to the phenomenon w...
research
∙
03/29/2023
The secret of immersion: actor driven camera movement generation for auto-cinematography
Immersion plays a vital role when designing cinematic creations, yet the...
research
∙
03/28/2023
Few-Shot 3D Point Cloud Semantic Segmentation via Stratified Class-Specific Attention Based Transformer Network
3D point cloud semantic segmentation aims to group all points into diffe...
research
∙
03/14/2023
Parametric Surface Constrained Upsampler Network for Point Cloud
Designing a point cloud upsampler, which aims to generate a clean and de...
research
∙
12/21/2022
A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks
A central challenge of building more powerful Graph Neural Networks (GNN...
research
∙
11/27/2022
Cross-domain Few-shot Segmentation with Transductive Fine-tuning
Few-shot segmentation (FSS) expects models trained on base classes to wo...
research
∙
10/04/2022
Link Partitioning on Simplicial Complexes Using Higher-Order Laplacians
Link partitioning is a popular approach in network science used for disc...
research
∙
08/22/2022
PLMCL: Partial-Label Momentum Curriculum Learning for Multi-Label Image Classification
Multi-label image classification aims to predict all possible labels in ...
research
∙
08/10/2022
Multi-scale Feature Aggregation for Crowd Counting
Convolutional Neural Network (CNN) based crowd counting methods have ach...
research
∙
07/04/2022
CRFormer: A Cross-Region Transformer for Shadow Removal
Aiming to restore the original intensity of shadow regions in an image a...
research
∙
05/11/2022
A time-varying study of Chinese investor sentiment, stock market liquidity and volatility: Based on deep learning BERT model and TVP-VAR model
Based on the commentary data of the Shenzhen Stock Index bar on the East...
research
∙
12/09/2021
Style Mixing and Patchwise Prototypical Matching for One-Shot Unsupervised Domain Adaptive Semantic Segmentation
In this paper, we tackle the problem of one-shot unsupervised domain ada...
research
∙
11/22/2021
ATLANTIS: A Benchmark for Semantic Segmentation of Waterbody Images
Vision-based semantic segmentation of waterbodies and nearby related obj...
research
∙
04/22/2021
DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation
Semantic segmentation of nighttime images plays an equally important rol...
research
∙
03/24/2021
From Shadow Generation to Shadow Removal
Shadow removal is a computer-vision task that aims to restore the image ...
research
∙
10/16/2020
Linguistically-Informed Transformations (LIT): A Method forAutomatically Generating Contrast Sets
Although large-scale pretrained language models, such as BERT and RoBERT...
research
∙
06/30/2019
YouTube Chatter: Understanding Online Comments Discourse on Misinformative and Political YouTube Videos
We conduct a preliminary analysis of comments on political YouTube conte...
research
∙
11/14/2016