Search Results for author:
Found 16 papers, 7 papers with code
EmojiCloud: a Tool for Emoji Cloud Visualization
This paper proposes EmojiCloud, an open-source Python-based emoji cloud visualization tool, to generate a quick and straightforward understanding of emojis from the perspective of frequency and importance.
Transferable Deployment of Semantic Edge Inference Systems via Unsupervised Domain Adaption
To achieve cost-effective transferable system deployment, we propose an efficient Domain Adaptation method for Semantic Edge INference systems (DASEIN) that can maintain high inference accuracy in a new environment without the need for labeled samples.
FinRobot: An Open-Source AI Agent Platform for Financial Applications using Large Language Models
As financial institutions and professionals increasingly incorporate Large Language Models (LLMs) into their workflows, substantial barriers, including proprietary data and specialized knowledge, persist between the finance sector and the AI community.
Online Action Recognition for Human Risk Prediction with Anticipated Haptic Alert via Wearables
This paper proposes a framework that combines online human state estimation, action recognition and motion prediction to enable early assessment and prevention of worker biomechanical risk during lifting tasks.
Redistributing the Precision and Content in 3D-LUT-based Inverse Tone-mapping for HDR/WCG Display
The latter requires more efficiency, thus the pre-calculated LUT (look-up table) has become a popular solution.
Machine Learning-Based Automatic Cardiovascular Disease Diagnosis Using Two ECG Leads
Simulation results show that the performance of our proposed methodology is better than the state-of-the-art techniques for the same database.
Learning a Practical SDR-to-HDRTV Up-conversion using New Dataset and Degradation Models
In media industry, the demand of SDR-to-HDRTV up-conversion arises when users possess HDR-WCG (high dynamic range-wide color gamut) TVs while most off-the-shelf footage is still in SDR (standard dynamic range).
Concealed Object Detection for Passive Millimeter-Wave Security Imaging Based on Task-Aligned Detection Transformer
Passive millimeter-wave (PMMW) is a significant potential technique for human security screening.
LHDR: HDR Reconstruction for Legacy Content using a Lightweight DNN
High dynamic range (HDR) image is widely-used in graphics and photography due to the rich information it contains.
Efficient Representation of Natural Image Patches
Utilizing an abstract information processing model based on minimal yet realistic assumptions inspired by biological systems, we study how to achieve the early visual system's two ultimate objectives: efficient information transmission and accurate sensor probability distribution modeling.
Semantic Dense Reconstruction with Consistent Scene Segments
In this paper, a method for dense semantic 3D scene reconstruction from an RGB-D sequence is proposed to solve high-level scene understanding tasks.
Physics-Based Iterative Projection Complex Neural Network for Phase Retrieval in Lensless Microscopy Imaging
Specifically, we unfold the iterative process of the alternative projection phase retrieval into a feed-forward neural network, whose layers mimic the processing flow.
Quantum walks on a programmable two-dimensional 62-qubit superconducting processor
Quantum walks are the quantum mechanical analogue of classical random walks and an extremely powerful tool in quantum simulations, quantum search algorithms, and even for universal quantum computing.
Quantum Physics
Rapid Whole Slide Imaging via Learning-based Two-shot Virtual Autofocusing
Whole slide imaging (WSI) is an emerging technology for digital pathology.
POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion
In particular, there exist two requirements for fashion outfit recommendation: the Compatibility of the generated fashion outfits, and the Personalization in the recommendation process.
Entity Embeddings of Categorical Variables
As entity embedding defines a distance measure for categorical variables it can be used for visualizing categorical data and for data clustering.
