research
∙
08/27/2023
Examining User-Friendly and Open-Sourced Large GPT Models: A Survey on Language, Multimodal, and Scientific GPT Models
Generative pre-trained transformer (GPT) models have revolutionized the ...
share
research
∙
08/09/2023
Generalized Unbiased Scene Graph Generation
Existing Unbiased Scene Graph Generation (USGG) methods only focus on ad...
research
∙
06/04/2023
ESTISR: Adapting Efficient Scene Text Image Super-resolution for Real-Scenes
While scene text image super-resolution (STISR) has yielded remarkable i...
research
∙
04/23/2023
Urban GeoBIM construction by integrating semantic LiDAR point clouds with as-designed BIM models
Developments in three-dimensional real worlds promote the integration of...
research
∙
04/18/2023
W-MAE: Pre-trained weather model with masked autoencoder for multi-variable weather forecasting
Weather forecasting is a long-standing computational challenge with dire...
research
∙
11/23/2022
One Class One Click: Quasi Scene-level Weakly Supervised Point Cloud Semantic Segmentation with Active Learning
Reliance on vast annotations to achieve leading performance severely res...
research
∙
04/01/2022
Diverse Preference Augmentation with Multiple Domains for Cold-start Recommendations
Cold-start issues have been more and more challenging for providing accu...
research
∙
01/27/2022
Efficient divide-and-conquer registration of UAV and ground LiDAR point clouds through canopy shape context
Registration of unmanned aerial vehicle laser scanning (ULS) and ground ...
research
∙
08/26/2021
Mining Contextual Information Beyond Image for Semantic Segmentation
This paper studies the context aggregation problem in semantic image seg...
research
∙
07/28/2021
MWP-BERT: A Strong Baseline for Math Word Problems
Math word problem (MWP) solving is the task of transforming a sequence o...
research
∙
07/12/2021
Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing
The Laplacian representation recently gains increasing attention for rei...
research
∙
10/21/2020
Improving Generalization in Reinforcement Learning with Mixture Regularization
Deep reinforcement learning (RL) agents trained in a limited set of envi...
research
∙
08/04/2020
Temporal Context Aggregation for Video Retrieval with Contrastive Learning
The current research focus on Content-Based Video Retrieval requires hig...
research
∙
06/29/2020
TFNet: Multi-Semantic Feature Interaction for CTR Prediction
The CTR (Click-Through Rate) prediction plays a central role in the doma...
research
∙
09/30/2019
Towards Good Practices for Video Object Segmentation
Semi-supervised video object segmentation is an interesting yet challeng...
research
∙
11/19/2018
High Order Neural Networks for Video Classification
Capturing spatiotemporal correlations is an essential topic in video cla...
research
∙
06/12/2018
Qiniu Submission to ActivityNet Challenge 2018
In this paper, we introduce our submissions for the tasks of trimmed act...
research
∙
07/10/2017
Learning in High-Dimensional Multimedia Data: The State of the Art
During the last decade, the deluge of multimedia data has impacted a wid...
research
∙
06/16/2016
Zero-Shot Hashing via Transferring Supervised Knowledge
Hashing has shown its efficiency and effectiveness in facilitating large...
research
∙
12/08/2015
Learning to Point and Count
This paper proposes the problem of point-and-count as a test case to bre...
research
∙
09/12/2013
