research
∙
03/16/2023
Towards a Smaller Student: Capacity Dynamic Distillation for Efficient Image Retrieval
Previous Knowledge Distillation based efficient image retrieval methods ...
share
research
∙
11/28/2022
Easy Begun is Half Done: Spatial-Temporal Graph Modeling with ST-Curriculum Dropout
Spatial-temporal (ST) graph modeling, such as traffic speed forecasting ...
research
∙
09/05/2022
A Study on Representation Transfer for Few-Shot Learning
Few-shot classification aims to learn to classify new object categories ...
research
∙
07/15/2022
PowerFDNet: Deep Learning-Based Stealthy False Data Injection Attack Detection for AC-model Transmission Systems
Recent studies have demonstrated that smart grids are vulnerable to stea...
research
∙
07/05/2022
Compute Cost Amortized Transformer for Streaming ASR
We present a streaming, Transformer-based end-to-end automatic speech re...
research
∙
07/12/2021
GiT: Graph Interactive Transformer for Vehicle Re-identification
Transformers are more and more popular in computer vision, which treat a...
research
∙
05/13/2021
Privacy Inference Attacks and Defenses in Cloud-based Deep Neural Network: A Survey
Deep Neural Network (DNN), one of the most powerful machine learning alg...
research
∙
04/19/2021
A Competitive Method to VIPriors Object Detection Challenge
In this report, we introduce the technical details of our submission to ...
research
∙
03/28/2021
Noise Injection-based Regularization for Point Cloud Processing
Noise injection-based regularization, such as Dropout, has been widely u...
research
∙
09/07/2020
Driving Tasks Transfer in Deep Reinforcement Learning for Decision-making of Autonomous Vehicles
Knowledge transfer is a promising concept to achieve real-time decision-...
research
∙
05/29/2020
Exploring Spatial Significance via Hybrid Pyramidal Graph Network for Vehicle Re-identification
Existing vehicle re-identification methods commonly use spatial pooling ...
research
∙
04/26/2020
Enabling Fast and Universal Audio Adversarial Attack Using Generative Model
Recently, the vulnerability of DNN-based audio systems to adversarial at...
research
∙
04/23/2020
PERMDNN: Efficient Compressed DNN Architecture with Permuted Diagonal Matrices
Deep neural network (DNN) has emerged as the most important and popular ...
research
∙
03/04/2020
Real-time, Universal, and Robust Adversarial Attacks Against Speaker Recognition Systems
As the popularity of voice user interface (VUI) exploded in recent years...
research
∙
02/12/2020
Graph Universal Adversarial Attacks: A Few Bad Actors Ruin Graph Learning Models
Deep neural networks, while generalize well, are known to be sensitive t...
research
∙
12/16/2019
CAG: A Real-time Low-cost Enhanced-robustness High-transferability Content-aware Adversarial Attack Generator
Deep neural networks (DNNs) are vulnerable to adversarial attack despite...
research
∙
11/19/2017
The process of 3D-printed skull models for the anatomy education
Objective The 3D printed medical models can come from virtual digital re...
research
∙
10/19/2017