research
∙
09/17/2023
MVP: Meta Visual Prompt Tuning for Few-Shot Remote Sensing Image Scene Classification
Vision Transformer (ViT) models have recently emerged as powerful and ve...
share
research
∙
05/17/2023
Multi-Grained Knowledge Retrieval for End-to-End Task-Oriented Dialog
Retrieving proper domain knowledge from an external database lies at the...
research
∙
04/26/2023
PVP: Pre-trained Visual Parameter-Efficient Tuning
Large-scale pre-trained transformers have demonstrated remarkable succes...
research
∙
03/30/2023
Non-Invasive Fairness in Learning through the Lens of Data Drift
Machine Learning (ML) models are widely employed to drive many modern da...
research
∙
02/21/2023
Generic Dependency Modeling for Multi-Party Conversation
To model the dependencies between utterances in multi-party conversation...
research
∙
01/29/2023
Towards Vision Transformer Unrolling Fixed-Point Algorithm: a Case Study on Image Restoration
The great success of Deep Neural Networks (DNNs) has inspired the algori...
research
∙
11/10/2022
ADEPT: A DEbiasing PrompT Framework
Several works have proven that finetuning is an applicable approach for ...
research
∙
11/08/2022
Adaptive Semantic Communications: Overfitting the Source and Channel for Profit
Most semantic communication systems leverage deep learning models to pro...
research
∙
11/02/2022
WITT: A Wireless Image Transmission Transformer for Semantic Communications
In this paper, we aim to redesign the vision Transformer (ViT) as a new ...
research
∙
08/18/2022
Brand Celebrity Matching Model Based on Natural Language Processing
Celebrity Endorsement is one of the most significant strategies in brand...
research
∙
03/11/2022
A Sentence is Worth 128 Pseudo Tokens: A Semantic-Aware Contrastive Learning Framework for Sentence Embeddings
Contrastive learning has shown great potential in unsupervised sentence ...
research
∙
01/25/2022
Distributed Image Transmission using Deep Joint Source-Channel Coding
We study the problem of deep joint source-channel coding (D-JSCC) for co...
research
∙
09/13/2021
IQ: Intrinsic measure for quantifying the heterogeneity in meta-analysis
Quantifying the heterogeneity is an important issue in meta-analysis, an...
research
∙
03/25/2021
Fairness in Ranking: A Survey
In the past few years, there has been much work on incorporating fairnes...
research
∙
03/16/2021
A comparative study of deep learning methods for building footprints detection using high spatial resolution aerial images
Building footprints data is of importance in several urban applications ...
research
∙
11/05/2020
Robust Unsupervised Video Anomaly Detection by Multi-Path Frame Prediction
Video anomaly detection is commonly used in many applications such as se...
research
∙
10/07/2020
QarSUMO: A Parallel, Congestion-optimized Traffic Simulator
Traffic simulators are important tools for tasks such as urban planning ...
research
∙
06/15/2020
Causal intersectionality for fair ranking
In this paper we propose a causal modeling approach to intersectional fa...
research
∙
03/18/2020
Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways
Semantic segmentation of large-scale outdoor point clouds is essential f...
research
∙
11/27/2019
Towards Precise End-to-end Weakly Supervised Object Detection Network
It is challenging for weakly supervised object detection network to prec...
research
∙
06/04/2019
Balanced Ranking with Diversity Constraints
Many set selection and ranking algorithms have recently been enhanced wi...
research
∙
02/26/2019
IF-TTN: Information Fused Temporal Transformation Network for Video Action Recognition
Effective spatiotemporal feature representation is crucial to the video-...
research
∙
02/14/2019
Exploring Frame Segmentation Networks for Temporal Action Localization
Temporal action localization is an important task of computer vision. Th...
research
∙
04/21/2018
A Nutritional Label for Rankings
Algorithmic decisions often result in scoring and ranking individuals to...
research
∙
08/10/2017