Search Results for author:
Found 17 papers, 2 papers with code
Adaptive Frequency Enhancement Network for Single Image Deraining
We employ convolutions of different scales to adaptively decompose image frequency bands, introduce a feature enhancement module to boost the features of different frequency components and present a novel interaction module for interchanging and merging information from various frequency branches.
Solving the Model Unavailable MARE using Q-Learning Algorithm
In this paper, the discrete-time modified algebraic Riccati equation (MARE) is solved when the system model is completely unavailable.
First Mapping the Canopy Height of Primeval Forests in the Tallest Tree Area of Asia
We proposed a method to map the canopy height of the primeval forest within the world-level giant tree distribution area by using a spaceborne LiDAR fusion satellite imagery (Global Ecosystem Dynamics Investigation (GEDI), ICESat-2, and Sentinel-2) driven deep learning modeling.
Exact WKB and the quantum Seiberg-Witten curve for 4d $N=2$ pure $SU(3)$ Yang-Mills, Part I: Abelianization
We investigate the exact WKB method for the quantum Seiberg-Witten curve of 4d $N=2$ pure $SU(3)$ Yang-Mills, in the language of abelianization.
High Energy Physics - Theory
Lane detection in complex scenes based on end-to-end neural network
So we combine the advantages of spatial convolution in spatial information processing and the efficiency of ERFNet in semantic segmentation, propose an end-to-end network to lane detection in a variety of complex scenes.
Lane Detection Model Based on Spatio-Temporal Network With Double Convolutional Gated Recurrent Units
One is used to extract the information of the most likely low-level features of lane markings.
A Critical and Moving-Forward View on Quantum Image Processing
Physics and computer science have a long tradition of cross-fertilization.
Indications for very high metallicity and absence of methane for the eccentric exo-Saturn WASP-117b
Using a 1D atmosphere model with isothermal temperature, uniform cloud deck and equilibrium chemistry, the Bayesian evidence of a retrieval analysis of the transmission spectrum indicates a preference for a high atmospheric metallicity ${\rm [Fe/H]}=2. 58^{+0. 26}_{-0. 37}$ and clear skies.
Earth and Planetary Astrophysics Solar and Stellar Astrophysics
Multi-level Quantum Noise Spectroscopy
System noise identification is crucial to the engineering of robust quantum systems.
Quantum Physics
A Convolutional Baseline for Person Re-Identification Using Vision and Language Descriptions
However, in real-world surveillance scenarios, frequently no visual information will be available about the queried person.
Progressive Local Filter Pruning for Image Retrieval Acceleration
To verify this, we evaluate our method on two widely-used image retrieval datasets, i. e., Oxford5k and Paris6K, and one person re-identification dataset, i. e., Market-1501.
A Quantum Engineer's Guide to Superconducting Qubits
The aim of this review is to provide quantum engineers with an introductory guide to the central concepts and challenges in the rapidly accelerating field of superconducting quantum circuits.
Quantum Physics Mesoscale and Nanoscale Physics Applied Physics
Person Re-Identification with Vision and Language
We propose a joint vision and language model based on CCA and CNN architectures to match across the two modalities as well as to enrich visual examples for which there are no language descriptions.
The BreakingNews Dataset
We present BreakingNews, a novel dataset with approximately 100K news articles including images, text and captions, and enriched with heterogeneous meta-data (e. g. GPS coordinates and popularity metrics).
BreakingNews: Article Annotation by Image and Text Processing
Deep Canonical Correlation Analysis is deployed for article illustration, and a new loss function based on Great Circle Distance is proposed for geolocation.
Deep Correlation for Matching Images and Text
This paper addresses the problem of matching images and captions in a joint latent space learnt with deep canonical correlation analysis (DCCA).
