research
∙
08/22/2023
Target-Grounded Graph-Aware Transformer for Aerial Vision-and-Dialog Navigation
This report details the methods of the winning entry of the AVDN Challen...
share
research
∙
07/21/2023
Robust Fully-Asynchronous Methods for Distributed Training over General Architecture
Perfect synchronization in distributed machine learning problems is inef...
research
∙
07/20/2023
Gender-tuning: Empowering Fine-tuning for Debiasing Pre-trained Language Models
Recent studies have revealed that the widely-used Pre-trained Language M...
research
∙
07/19/2023
Improving Pre-trained Language Models' Generalization
The reusability of state-of-the-art Pre-trained Language Models (PLMs) i...
research
∙
06/12/2023
On the Computation-Communication Trade-Off with A Flexible Gradient Tracking Approach
We propose a flexible gradient tracking approach with adjustable computa...
research
∙
06/06/2023
A Unified Framework to Super-Resolve Face Images of Varied Low Resolutions
The existing face image super-resolution (FSR) algorithms usually train ...
research
∙
05/10/2023
Inclusive FinTech Lending via Contrastive Learning and Domain Adaptation
FinTech lending (e.g., micro-lending) has played a significant role in f...
research
∙
03/14/2023
PlanarTrack: A Large-scale Challenging Benchmark for Planar Object Tracking
Planar object tracking is a critical computer vision problem and has dra...
research
∙
02/21/2023
Few-shot Detection of Anomalies in Industrial Cyber-Physical System via Prototypical Network and Contrastive Learning
The rapid development of Industry 4.0 has amplified the scope and destru...
research
∙
02/21/2023
Co-Driven Recognition of Semantic Consistency via the Fusion of Transformer and HowNet Sememes Knowledge
Semantic consistency recognition aims to detect and judge whether the se...
research
∙
02/09/2023
Bag of Tricks for Training Data Extraction from Language Models
With the advance of language models, privacy protection is receiving mor...
research
∙
11/26/2022
CFNet: Conditional Filter Learning with Dynamic Noise Estimation for Real Image Denoising
A mainstream type of the state of the arts (SOTAs) based on convolutiona...
research
∙
10/26/2022
WebCrack: Dynamic Dictionary Adjustment for Web Weak Password Detection based on Blasting Response Event Discrimination
The feature diversity of different web systems in page elements, submiss...
research
∙
09/26/2022
Neural-FacTOR: Neural Representation Learning for Website Fingerprinting Attack over TOR Anonymity
TOR (The Onion Router) network is a widely used open source anonymous co...
research
∙
07/08/2022
Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology
We develop a general framework unifying several gradient-based stochasti...
research
∙
04/22/2022
A Closer Look at Personalization in Federated Image Classification
Federated Learning (FL) is developed to learn a single global model acro...
research
∙
04/08/2022
Scaling Bockchain with Adaptivity
This paper presents Balloon, a scalable blockchain consensus protocol wh...
research
∙
01/09/2022
Uncovering the Source of Machine Bias
We develop a structural econometric model to capture the decision dynami...
research
∙
10/17/2021
SIN:Superpixel Interpolation Network
Superpixels have been widely used in computer vision tasks due to their ...
research
∙
08/25/2021
Fully Non-Homogeneous Atmospheric Scattering Modeling with Convolutional Neural Networks for Single Image Dehazing
In recent years, single image dehazing models (SIDM) based on atmospheri...
research
∙
07/22/2021
Adaptive Dilated Convolution For Human Pose Estimation
Most existing human pose estimation (HPE) methods exploit multi-scale in...
research
∙
07/15/2021
Neighbor-view Enhanced Model for Vision and Language Navigation
Vision and Language Navigation (VLN) requires an agent to navigate to a ...
research
∙
06/24/2021
Hate Speech Detection in Clubhouse
With the rise of voice chat rooms, a gigantic resource of data can be ex...
research
∙
06/22/2021
Statistical Analysis of Perspective Scores on Hate Speech Detection
Hate speech detection has become a hot topic in recent years due to the ...
research
∙
06/16/2021
CMF: Cascaded Multi-model Fusion for Referring Image Segmentation
In this work, we address the task of referring image segmentation (RIS),...
research
∙
05/14/2021
End-to-end Alternating Optimization for Blind Super Resolution
Previous methods decompose the blind super-resolution (SR) problem into ...
research
∙
05/12/2021
FDAN: Flow-guided Deformable Alignment Network for Video Super-Resolution
Most Video Super-Resolution (VSR) methods enhance a video reference fram...
research
∙
01/21/2021
FWB-Net:Front White Balance Network for Color Shift Correction in Single Image Dehazing via Atmospheric Light Estimation
In recent years, single image dehazing deep models based on Atmospheric ...
research
∙
12/30/2020
Rethinking the Heatmap Regression for Bottom-up Human Pose Estimation
Heatmap regression has become the most prevalent choice for nowadays hum...
research
∙
12/13/2020
Efficient Human Pose Estimation by Learning Deeply Aggregated Representations
In this paper, we propose an efficient human pose estimation network (DA...
research
∙
11/05/2020
Collaborative City Digital Twin For Covid-19 Pandemic: A Federated Learning Solution
In this work, we propose a collaborative city digital twin based on FL, ...
research
∙
11/02/2020
Actor and Action Modular Network for Text-based Video Segmentation
The actor and action semantic segmentation is a challenging problem that...
research
∙
10/06/2020
Unfolding the Alternating Optimization for Blind Super Resolution
Previous methods decompose blind super resolution (SR) problem into two ...
research
∙
08/21/2020
Algorithmic Transparency with Strategic Users
Should firms that apply machine learning algorithms in their decision-ma...
research
∙
08/13/2020
Recurrent Deconvolutional Generative Adversarial Networks with Application to Text Guided Video Generation
This paper proposes a novel model for video generation and especially ma...
research
∙
07/20/2020
Crowd, Lending, Machine, and Bias
Big data and machine learning (ML) algorithms are key drivers of many fi...
research
∙
04/25/2020
L-Vector: Neural Label Embedding for Domain Adaptation
We propose a novel neural label embedding (NLE) scheme for the domain ad...
research
∙
04/21/2020
Learning Goal-oriented Dialogue Policy with Opposite Agent Awareness
Most existing approaches for goal-oriented dialogue policy learning used...
research
∙
04/12/2020
Large-scale Real-time Personalized Similar Product Recommendations
Similar product recommendation is one of the most common scenes in e-com...
research
∙
12/10/2019
Advances in Online Audio-Visual Meeting Transcription
This paper describes a system that generates speaker-annotated transcrip...
research
∙
11/17/2019
Understanding the Teaching Styles by an Attention based Multi-task Cross-media Dimensional modelling
Teaching style plays an influential role in helping students to achieve ...
research
∙
08/24/2019
SBSGAN: Suppression of Inter-Domain Background Shift for Person Re-Identification
Cross-domain person re-identification (re-ID) is challenging due to the ...
research
∙
08/05/2019
Learning Compact Target-Oriented Feature Representations for Visual Tracking
Many state-of-the-art trackers usually resort to the pretrained convolut...
research
∙
07/03/2019
Uncovering Information Flow Policy Violations in C Programs
Programmers of cryptographic applications written in C need to avoid com...
research
∙
06/23/2019
Improving Description-based Person Re-identification by Multi-granularity Image-text Alignments
Description-based person re-identification (Re-id) is an important task ...
research
∙
04/26/2019
Box-driven Class-wise Region Masking and Filling Rate Guided Loss for Weakly Supervised Semantic Segmentation
Semantic segmentation has achieved huge progress via adopting deep Fully...
research
∙
09/07/2018
RetGK: Graph Kernels based on Return Probabilities of Random Walks
Graph-structured data arise in wide applications, such as computer visio...
research
∙
07/11/2018
DeepMove: Learning Place Representations through Large Scale Movement Data
Understanding and reasoning about places and their relationships are cri...
research
∙
05/07/2018
Skeleton-Based Relational Modeling for Action Recognition
With the fast development of effective and low-cost human skeleton captu...
research
∙
01/21/2018