research
∙
03/31/2023
AI-Oriented Two-Phase Multi-Factor Authentication in SAGINs: Prospects and Challenges
Space-air-ground integrated networks (SAGINs), which have emerged as an ...
share
research
∙
02/06/2023
Challenges and Opportunities of Content Optimization for Freeform User Interfaces
While recent innovations on shape technologies allow for the creation of...
research
∙
12/06/2022
Robust Speech Recognition via Large-Scale Weak Supervision
We study the capabilities of speech processing systems trained simply to...
research
∙
11/21/2022
Intelligent Computing: The Latest Advances, Challenges and Future
Computing is a critical driving force in the development of human civili...
research
∙
11/12/2022
3D-Aware Encoding for Style-based Neural Radiance Fields
We tackle the task of NeRF inversion for style-based neural radiance fie...
research
∙
05/24/2022
Exploiting Dynamic and Fine-grained Semantic Scope for Extreme Multi-label Text Classification
Extreme multi-label text classification (XMTC) refers to the problem of ...
research
∙
05/12/2022
Predictability Exponent of Stochastic Dynamical Systems
Predicting the trajectory of stochastic dynamical systems (SDSs) is an i...
research
∙
04/29/2022
RAR-PINN algorithm for the data-driven vector-soliton solutions and parameter discovery of coupled nonlinear equations
This work aims to provide an effective deep learning framework to predic...
research
∙
02/27/2022
DAGAM: A Domain Adversarial Graph Attention Model for Subject Independent EEG-Based Emotion Recognition
One of the most significant challenges of EEG-based emotion recognition ...
research
∙
01/24/2022
Text and Code Embeddings by Contrastive Pre-Training
Text embeddings are useful features in many applications such as semanti...
research
∙
10/11/2021
Unsupervised Neural Machine Translation with Generative Language Models Only
We show how to derive state-of-the-art unsupervised neural machine trans...
research
∙
07/09/2021
Deep Image Synthesis from Intuitive User Input: A Review and Perspectives
In many applications of computer graphics, art and design, it is desirab...
research
∙
03/09/2021
FAIR1M: A Benchmark Dataset for Fine-grained Object Recognition in High-Resolution Remote Sensing Imagery
With the rapid development of deep learning, many deep learning based ap...
research
∙
03/08/2021
Autonomous object harvesting using synchronized optoelectronic microrobots
Optoelectronic tweezer-driven microrobots (OETdMs) are a versatile micro...
research
∙
01/13/2021
Asymmetric self-play for automatic goal discovery in robotic manipulation
We train a single, goal-conditioned policy that can solve many robotic m...
research
∙
12/01/2020
Low Bandwidth Video-Chat Compression using Deep Generative Models
To unlock video chat for hundreds of millions of people hindered by poor...
research
∙
10/31/2020
Differentially Private ADMM Algorithms for Machine Learning
In this paper, we study efficient differentially private alternating dir...
research
∙
10/03/2020
A simulation environment for drone cinematography
In this paper, we present a workflow for the simulation of drone operati...
research
∙
04/12/2020
FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions
Differentiable Neural Architecture Search (DNAS) has demonstrated great ...
research
∙
04/24/2019
Computer-aided diagnosis in histopathological images of the endometrium using a convolutional neural network and attention mechanisms
Uterine cancer, also known as endometrial cancer, can seriously affect t...
research
∙
10/22/2018
Applying Deep Learning To Airbnb Search
The application to search ranking is one of the biggest machine learning...
research
∙
09/17/2018
Computer-Aided Diagnosis of Label-Free 3-D Optical Coherence Microscopy Images of Human Cervical Tissue
Objective: Ultrahigh-resolution optical coherence microscopy (OCM) has r...
research
∙
05/23/2018
GPU Accelerated Cascade Hashing Image Matching for Large Scale 3D Reconstruction
Image feature point matching is a key step in Structure from Motion(SFM)...
research
∙
05/01/2018
Multiobjective Optimization Differential Evolution Enhanced with Principle Component Analysis for Constrained Optimization
Multiobjective optimization evolutionary algorithms have been successful...
research
∙
04/30/2018
New Methods of Studying Valley Fitness Landscapes
The word "valley" is a popular term used in intuitively describing fitne...
research
∙
03/05/2018
Segmentation of Drosophila Heart in Optical Coherence Microscopy Images Using Convolutional Neural Networks
Convolutional neural networks are powerful tools for image segmentation ...
research
∙
02/10/2018
Optimize transfer learning for lung diseases in bronchoscopy using a new concept: sequential fine-tuning
Bronchoscopy inspection as a follow-up procedure from the radiological i...
research
∙
11/28/2017
AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks
In this paper, we propose an Attentional Generative Adversarial Network ...
research
∙
11/07/2017
On the Discrimination-Generalization Tradeoff in GANs
Generative adversarial training can be generally understood as minimizin...
research
∙
10/19/2017
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks
Although Generative Adversarial Networks (GANs) have shown remarkable su...
research
∙
06/06/2017
SegAN: Adversarial Network with Multi-scale L_1 Loss for Medical Image Segmentation
Inspired by classic generative adversarial networks (GAN), we propose a ...
research
∙
12/10/2016
StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks
Synthesizing high-quality images from text descriptions is a challenging...
research
∙
09/30/2015
Multi-objective Differential Evolution with Helper Functions for Constrained Optimization
Solving constrained optimization problems by multi-objective evolutionar...
research
∙
10/15/2014
High Order Structure Descriptors for Scene Images
Structure information is ubiquitous in natural scene images and it plays...
research
∙
10/15/2014
