research
∙
08/19/2023
An Empirical Study of CLIP for Text-based Person Search
Text-based Person Search (TBPS) aims to retrieve the person images using...
share
research
∙
08/14/2023
DS-Depth: Dynamic and Static Depth Estimation via a Fusion Cost Volume
Self-supervised monocular depth estimation methods typically rely on the...
research
∙
08/14/2023
Can Knowledge Graphs Simplify Text?
Knowledge Graph (KG)-to-Text Generation has seen recent improvements in ...
research
∙
07/21/2023
MythQA: Query-Based Large-Scale Check-Worthy Claim Detection through Multi-Answer Open-Domain Question Answering
Check-worthy claim detection aims at providing plausible misinformation ...
research
∙
03/31/2023
Learning Procedure-aware Video Representation from Instructional Videos and Their Narrations
The abundance of instructional videos and their narrations over the Inte...
research
∙
03/23/2023
Backdoor Defense via Adaptively Splitting Poisoned Dataset
Backdoor defenses have been studied to alleviate the threat of deep neur...
research
∙
03/16/2023
A High-Performance Accelerator for Super-Resolution Processing on Embedded GPU
Recent years have witnessed impressive progress in super-resolution (SR)...
research
∙
03/14/2023
Efficient Image-Text Retrieval via Keyword-Guided Pre-Screening
Under the flourishing development in performance, current image-text ret...
research
∙
02/01/2023
BackdoorBox: A Python Toolbox for Backdoor Learning
Third-party resources (e.g., samples, backbones, and pre-trained models)...
research
∙
01/24/2023
WhisperWand: Simultaneous Voice and Gesture Tracking Interface
This paper presents the design and implementation of WhisperWand, a comp...
research
∙
10/29/2022
Enabling Data Movement and Computation Pipelining in Deep Learning Compiler
Pipelining between data loading and computation is a critical tensor pro...
research
∙
09/27/2022
Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection
Deep neural networks (DNNs) have demonstrated their superiority in pract...
research
∙
08/04/2022
MOVE: Effective and Harmless Ownership Verification via Embedded External Features
Currently, deep neural networks (DNNs) are widely adopted in different a...
research
∙
07/17/2022
Watermark Vaccine: Adversarial Attacks to Prevent Watermark Removal
As a common security tool, visible watermarking has been widely applied ...
research
∙
07/14/2022
Secure Network Function Computation for Linear Functions – Part I: Source Security
In this paper, we put forward secure network function computation over a...
research
∙
05/16/2022
Residual Local Feature Network for Efficient Super-Resolution
Deep learning based approaches has achieved great performance in single ...
research
∙
03/27/2022
Adaptive Frequency Learning in Two-branch Face Forgery Detection
Face forgery has attracted increasing attention in recent applications o...
research
∙
01/15/2022
Moses: Efficient Exploitation of Cross-device Transferable Features for Tensor Program Optimization
Achieving efficient execution of machine learning models has attracted s...
research
∙
12/11/2021
Automated Customization of On-Thing Inference for Quality-of-Experience Enhancement
The rapid uptake of intelligent applications is pushing deep learning (D...
research
∙
11/25/2021
Clustering Effect of (Linearized) Adversarial Robust Models
Adversarial robustness has received increasing attention along with the ...
research
∙
09/25/2021
More Than Reading Comprehension: A Survey on Datasets and Metrics of Textual Question Answering
Textual Question Answering (QA) aims to provide precise answers to user'...
research
∙
08/26/2021
On Soft Bayesian Additive Regression Trees and asynchronous longitudinal regression analysis
In many longitudinal studies, the covariate and response are often inter...
research
∙
08/26/2021
Distributed Soft Bayesian Additive Regression Trees
Bayesian Additive Regression Trees(BART) is a Bayesian nonparametric app...
research
∙
08/12/2021
Partially Fixed Bayes Additive Regression Trees for spatial-temporal related model
Bayes additive regression trees(BART) is a nonparametric regression mode...
research
∙
08/09/2021
Towards Automated Fatigue Assessment using Wearable Sensing and Mixed-Effects Models
Fatigue is a broad, multifactorial concept that includes the subjective ...
research
∙
08/08/2021
Discriminative Latent Semantic Graph for Video Captioning
Video captioning aims to automatically generate natural language sentenc...
research
∙
08/04/2021
Machine Learning Classification Methods and Portfolio Allocation: An Examination of Market Efficiency
We design a novel framework to examine market efficiency through out-of-...
research
∙
03/11/2021
Improving Adversarial Robustness via Channel-wise Activation Suppressing
The study of adversarial examples and their activation has attracted sig...
research
∙
09/24/2020
Improving Query Efficiency of Black-box Adversarial Attack
Deep neural networks (DNNs) have demonstrated excellent performance on v...
research
∙
08/19/2020
Query Twice: Dual Mixture Attention Meta Learning for Video Summarization
Video summarization aims to select representative frames to retain high-...
research
∙
08/06/2020
Fatigue Assessment using ECG and Actigraphy Sensors
Fatigue is one of the key factors in the loss of work efficiency and hea...
research
∙
10/27/2019
Adversarial Defense Via Local Flatness Regularization
Adversarial defense is a popular and important research area. Due to its...
research
∙
11/25/2018
Chordal Graphs in Triangular Decomposition in Top-Down Style
In this paper, we first prove that when the associated graph of a polyno...
research
∙
02/06/2018