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Found 46 papers, 11 papers with code
\textrm{DuReader}_{\textrm{vis}}: A Chinese Dataset for Open-domain Document Visual Question Answering
Open-domain question answering has been used in a wide range of applications, such as web search and enterprise search, which usually takes clean texts extracted from various formats of documents (e. g., web pages, PDFs, or Word documents) as the information source.
Channel Estimation and Beamforming for Beyond Diagonal Reconfigurable Intelligent Surfaces
In this paper, we study channel estimation and beamforming design for BD-RIS aided multi-antenna systems.
V2X-PC: Vehicle-to-everything Collaborative Perception via Point Cluster
The point cluster inherently preserves object information while packing messages, with weak relevance to the collaboration range, and supports explicit structure modeling.
ODTFormer: Efficient Obstacle Detection and Tracking with Stereo Cameras Based on Transformer
In this paper, we propose ODTFormer, a Transformer-based model to address both obstacle detection and tracking problems.
On the locality of local neural operator in learning fluid dynamics
This paper launches a thorough discussion on the locality of local neural operator (LNO), which is the core that enables LNO great flexibility on varied computational domains in solving transient partial differential equations (PDEs).
Beyond Diagonal Reconfigurable Intelligent Surfaces with Mutual Coupling: Modeling and Optimization
This work studies the modeling and optimization of beyond diagonal reconfigurable intelligent surface (BD-RIS) aided wireless communication systems in the presence of mutual coupling among the RIS elements.
E(2)-Equivariant Graph Planning for Navigation
Learning for robot navigation presents a critical and challenging task.
ViHOPE: Visuotactile In-Hand Object 6D Pose Estimation with Shape Completion
By explicitly completing the shape of the in-hand object and jointly optimizing the shape completion and pose estimation tasks, we improve the accuracy of the 6D object pose estimate.
Channel Estimation for Beyond Diagonal Reconfigurable Intelligent Surfaces with Group-Connected Architectures
We study channel estimation for a beyond diagonal reconfigurable intelligent surface (BD-RIS) aided multiple input single output system.
A Dual-Function Radar-Communication System Empowered by Beyond Diagonal Reconfigurable Intelligent Surface
This work focuses on the use of reconfigurable intelligent surface (RIS) in dual-function radar-communication (DFRC) systems to improve communication capacity and sensing precision, and enhance coverage for both functions.
Reconfigurable Intelligent Surfaces 2.0: Beyond Diagonal Phase Shift Matrices
Reconfigurable intelligent surface (RIS) has been envisioned as a promising technique to enable and enhance future wireless communications due to its potential to engineer the wireless channels in a cost-effective manner.
Joint Transmit and Receive Beamforming Design in Full-Duplex Integrated Sensing and Communications
Integrated sensing and communication (ISAC) has been envisioned as a solution to realize the sensing capability required for emerging applications in wireless networks, while efficiently utilizing the available spectral, hardware and energy resources.
A Dynamic Grouping Strategy for Beyond Diagonal Reconfigurable Intelligent Surfaces with Hybrid Transmitting and Reflecting Mode
Beyond diagonal reconfigurable intelligent surface (BD-RIS) is a novel branch of RIS which breaks through the limitation of traditional RIS with diagonal scattering matrices.
StereoVoxelNet: Real-Time Obstacle Detection Based on Occupancy Voxels from a Stereo Camera Using Deep Neural Networks
Obstacle detection is a safety-critical problem in robot navigation, where stereo matching is a popular vision-based approach.
Dynamic Hybrid Beamforming Design for Dual-Function Radar-Communication Systems
This paper investigates dynamic hybrid beamforming (HBF) for a dual-function radar-communication (DFRC) system, where the DFRC base station (BS) simultaneously serves multiple single-antenna users and senses a target in the presence of multiple clutters.
Beyond Diagonal Reconfigurable Intelligent Surfaces: A Multi-Sector Mode Enabling Highly Directional Full-Space Wireless Coverage
With the proposed model, we first derive the scaling law of the received signal power for a multi-sector BD-RIS-assisted single-user system.
Learning to Learn to Predict Performance Regressions in Production at Meta
Catching and attributing code change-induced performance regressions in production is hard; predicting them beforehand, even harder.
Vi-Fi: Associating Moving Subjects across Vision and Wireless Sensors
In this paper, we present Vi-Fi, a multi-modal system that leverages a user’s smartphone WiFi Fine Timing Measurements (FTM) and inertial measurement unit (IMU) sensor data to associate the user detected on a camera footage with their corresponding smartphone identifier (e. g. WiFi MAC address).
Deep Learning Eliminates Massive Dust Storms from Images of Tianwen-1
Inspired by the haze formation process on Earth, we formulate a similar visual degradation process on clean images and synthesize dusty images sharing a similar feature distribution with realistic dusty images.
Rate-Splitting Multiple Access for 6G -- Part III: Interplay with Reconfigurable Intelligent Surfaces
This letter is the third part of a three-part tutorial that focuses on rate-splitting multiple access (RSMA) for 6G.
Deep Learning based Intelligent Coin-tap Test for Defect Recognition
This paper further develops transfer learning strategies for this issue, that is, to transfer the model trained on data of one scenario to another.
DuReader_retrieval: A Large-scale Chinese Benchmark for Passage Retrieval from Web Search Engine
In this paper, we present DuReader_retrieval, a large-scale Chinese dataset for passage retrieval.
Local neural operator for solving transient partial differential equations on varied domains
For demonstration, LNO learns Navier-Stokes equations from randomly generated data samples, and then the pre-trained LNO is used as an explicit numerical time-marching scheme to solve the flow of fluid on unseen domains, e. g., the flow in a lid-driven cavity and the flow across the cascade of airfoils.
Complementary Feature Enhanced Network with Vision Transformer for Image Dehazing
In this paper, firstly, we propose a new complementary feature enhanced framework, in which the complementary features are learned by several complementary subtasks and then together serve to boost the performance of the primary task.
Ranked #1 on
Image Dehazing
on NH-HAZE
DuReader\_robust: A Chinese Dataset Towards Evaluating Robustness and Generalization of Machine Reading Comprehension in Real-World Applications
Machine reading comprehension (MRC) is a crucial task in natural language processing and has achieved remarkable advancements.
Decision Making in Monopoly using a Hybrid Deep Reinforcement Learning Approach
Monopoly is a popular strategic board game that requires players to make multiple decisions during the game.
Channel Estimation for Practical IRS-Assisted OFDM Systems
Different from the prior works which assume that IRS has an ideal reflection model, we perform channel estimation by considering amplitude-phase shift-frequency relationship for the response of practical IRS.
MRC Examples Answerable by BERT without a Question Are Less Effective in MRC Model Training
Models developed for Machine Reading Comprehension (MRC) are asked to predict an answer from a question and its related context.
Build Smart Grids on Artificial Intelligence -- A Real-world Example
Power grid data are going big with the deployment of various sensors.
Calculate Center-of-Inertia Frequency and System RoCoF Using PMU Data
The power system frequency is important for the system overall stability.
Intelligent reflecting surface enhanced wideband MIMO-OFDM communications: From practical model to reflection optimization
Simulation results demonstrate that the proposed algorithm can offer significant average sum-rate enhancement compared to that achieved using the ideal IRS reflection model, which confirms the importance of the use of the practical model for the design of wideband systems.
A Study on Evaluation Standard for Automatic Crack Detection Regard the Random Fractal
In CovEval, a different matching process based on the idea of covering box matching is adopted for this issue.
Developing a How-to Tip Machine Comprehension Dataset and its Evaluation in Machine Comprehension by BERT
Considering such a situation within the field of the non-factoid QA, this paper aims to develop a dataset for training Japanese how-to tip QA models.
Practical Modeling and Beamforming for Intelligent Reflecting Surface Aided Wideband Systems
In this letter, we aim to investigate the phase-amplitude-frequency relationship of the reflected signals and propose a practical model of reflection coefficient for an IRS-aided wideband system.
Arbitrary-sized Image Training and Residual Kernel Learning: Towards Image Fraud Identification
Preserving original noise residuals in images are critical to image fraud identification.
DuReader_robust: A Chinese Dataset Towards Evaluating Robustness and Generalization of Machine Reading Comprehension in Real-World Applications
Machine reading comprehension (MRC) is a crucial task in natural language processing and has achieved remarkable advancements.
Knowledge Federation: A Unified and Hierarchical Privacy-Preserving AI Framework
With strict protections and regulations of data privacy and security, conventional machine learning based on centralized datasets is confronted with significant challenges, making artificial intelligence (AI) impractical in many mission-critical and data-sensitive scenarios, such as finance, government, and health.
SuperDTI: Ultrafast diffusion tensor imaging and fiber tractography with deep learning
We also demonstrate that the trained neural network is robust to noise and motion in the testing data, and the network trained using healthy volunteer data can be directly applied to stroke patient data without compromising the lesion detectability.
D-NET: A Pre-Training and Fine-Tuning Framework for Improving the Generalization of Machine Reading Comprehension
In this paper, we introduce a simple system Baidu submitted for MRQA (Machine Reading for Question Answering) 2019 Shared Task that focused on generalization of machine reading comprehension (MRC) models.
Symbol-Level Precoding Design for Intelligent Reflecting Surface Assisted Multi-user MIMO Systems
In this paper we investigate the problem of precoder design for a low-resolution IRS-based transmitter to implement multi-user MISO/MIMO wireless communications.
An End-to-End Encrypted Neural Network for Gradient Updates Transmission in Federated Learning
Federated learning is a distributed learning method to train a shared model by aggregating the locally-computed gradient updates.
Towards Document Image Quality Assessment: A Text Line Based Framework and A Synthetic Text Line Image Dataset
Firstly, since document image quality assessment is more interested in text, we propose a text line based framework to estimate document image quality, which is composed of three stages: text line detection, text line quality prediction, and overall quality assessment.
When Deep Learning Met Code Search
Our evaluation shows that: 1. adding supervision to an existing unsupervised technique can improve performance, though not necessarily by much; 2. simple networks for supervision can be more effective that more sophisticated sequence-based networks for code search; 3. while it is common to use docstrings to carry out supervision, there is a sizeable gap between the effectiveness of docstrings and a more query-appropriate supervision corpus.
CG-DIQA: No-reference Document Image Quality Assessment Based on Character Gradient
Document image quality assessment (DIQA) is an important and challenging problem in real applications.
Image Quality Assessment
Optical Character Recognition (OCR)
VSI: A Visual Saliency-Induced Index for Perceptual Image Quality Assessment
First, VS is used as a feature when computing the local quality map of the distorted image.
Ranked #7 on
Video Quality Assessment
on MSU FR VQA Database
SR-SIM: A fast and high performance IQA index based on spectral residual
Automatic image quality assessment (IQA) attempts to use computational models to measure the image quality in consistency with subjective ratings.
Ranked #9 on
Video Quality Assessment
on MSU FR VQA Database
