Search Results for author:
Found 41 papers, 9 papers with code
Monocular Urban Localization using Street View
This paper presents a metric global localization in the urban environment only with a monocular camera and the Google Street View database.
Context-Aware Online Learning for Course Recommendation of MOOC Big Data
In this respect, the key challenge is how to realize personalized course recommendation as well as to reduce the computing and storage costs for the tremendous course data.
Accelerate CU Partition in HEVC using Large-Scale Convolutional Neural Network
High efficiency video coding (HEVC) suffers high encoding computational complexity, partly attributed to the rate-distortion optimization quad-tree search in CU partition decision.
Skull-RCNN: A CNN-based network for the skull fracture detection
Guiding by the morphological features of the skull, a skeleton-based region proposal method is proposed to make candidate boxes more concentrated in key regions and reduce invalid boxes.
DA4AD: End-to-End Deep Attention-based Visual Localization for Autonomous Driving
We present a visual localization framework based on novel deep attention aware features for autonomous driving that achieves centimeter level localization accuracy.
Gesture Recognition using Reflected Visible and Infrared Light Wave Signals
In this paper, we demonstrate the ability to recognize hand gestures in a non-contact, wireless fashion using only incoherent light signals reflected from a human subject.
Noisy Student Training using Body Language Dataset Improves Facial Expression Recognition
Facial expression recognition from videos in the wild is a challenging task due to the lack of abundant labelled training data.
Ranked #7 on
Facial Expression Recognition (FER)
on Acted Facial Expressions In The Wild (AFEW)
(using extra training data)
Facial Expression Recognition
Facial Expression Recognition (FER)
A generalization of moment-angle manifolds with non-contractible orbit spaces
This generalizes the Hochster's formula for the moment-angle manifold over a simple convex polytope.
Algebraic Topology Geometric Topology 57S12 (Primary) 57N65, 57S17, 57S25 (Secondary)
Discrete-continuous Action Space Policy Gradient-based Attention for Image-Text Matching
We propose a novel attention scheme which projects the image and text embedding into a common space and optimises the attention weights directly towards the evaluation metrics.
Enhanced Sequential Covariance Intersection Fusion
For this criterion, it is proved that the fusion results are not affected by the fusion structure, and thus the fusion performance can be guaranteed.
Kalman-Like Filter under Binary Sensors
When considering linear dynamic systems, a conservative estimation error covariance with adjustable parameters is constructed by matrix inequality, and then an optimal filter gain is derived by minimizing its trace.
Adversarial Learning for Incentive Optimization in Mobile Payment Marketing
This bias deteriorates the performance of the response model and misleads the linear programming process, dramatically degrading the performance of the resulting allocation policy.
Surface Defect Detection and Evaluation for Marine Vessels using Multi-Stage Deep Learning
Detecting and evaluating surface coating defects is important for marine vessel maintenance.
Distributed Estimation for Interconnected Systems with Arbitrary Coupling Structures
By merging these subsystem-level stability conditions and the optimization-based estimator gain design, the distributed, stable and optimal estimators are proposed.
FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical Image Classification
In this paper, we present a privacy-preserving FL method named FedIIC to combat class imbalance from two perspectives: feature learning and classifier learning.
BATFormer: Towards Boundary-Aware Lightweight Transformer for Efficient Medical Image Segmentation
Specifically, to fully explore the benefits of transformers in long-range dependency establishment, a cross-scale global transformer (CGT) module is introduced to jointly utilize multiple small-scale feature maps for richer global features with lower computational complexity.
The Lighter The Better: Rethinking Transformers in Medical Image Segmentation Through Adaptive Pruning
To our best knowledge, this is the first work on transformer pruning for medical image analysis tasks.
Frequency-Angle Two-Dimensional Reflection Coefficient Modeling Based on Terahertz Channel Measurement
In this letter, the reflection coefficient of the THz channel is researched based on extensive measurement campaigns.
Distributed Event-Triggered Nonlinear Fusion Estimation under Resource Constraints
This paper studies the event-triggered distributed fusion estimation problems for a class of nonlinear networked multisensor fusion systems without noise statistical characteristics.
How to Define the Propagation Environment Semantics and Its Application in Scatterer-Based Beam Prediction
Inspired by task-oriented semantic communication and machine learning (ML) powered environment-channel mapping methods, this work aims to provide a new view of the environment from the semantic level, which defines the propagation environment semantics (PES) as a limited set of propagation environment semantic symbols (PESS) for diverse application tasks.
End-to-end Transformer for Compressed Video Quality Enhancement
In this work, we propose a transformer-based compressed video quality enhancement (TVQE) method, consisting of Swin-AutoEncoder based Spatio-Temporal feature Fusion (SSTF) module and Channel-wise Attention based Quality Enhancement (CAQE) module.
Secure Fusion Estimation Against FDI Sensor Attacks in Cyber-Physical Systems
This paper is concerned with the problem of secure multi-sensors fusion estimation for cyber-physical systems, where sensor measurements may be tampered with by false data injection (FDI) attacks.
Hand Gesture Recognition through Reflected Infrared Light Wave Signals
In this study, we present a wireless (non-contact) gesture recognition method using only incoherent light wave signals reflected from a human subject.
Learning stability of partially observed switched linear systems
In this paper, we propose an algorithm for deciding stability of switched linear systems under arbitrary switching based purely on observed output data.
Cross-Fusion Rule for Personalized Federated Learning
To overcome these challenges, a multi-layer multi-fusion strategy framework is proposed in this paper, i. e., the server adopts the network layer parameters of each client upload model as the basic unit of fusion for information-sharing calculation.
Remote State Estimation with Posterior-Based Stochastic Event-Triggered Schedule
A posterior-based SET mechanism is proposed, which determines whether to transmit data by the effect of the measurement on the posterior estimate.
Spatiotemporally Consistent HDR Indoor Lighting Estimation
For training, we significantly enhance the OpenRooms public dataset of photorealistic synthetic indoor scenes with around 360K HDR environment maps of much higher resolution and 38K video sequences, rendered with GPU-based path tracing.
FedNoRo: Towards Noise-Robust Federated Learning by Addressing Class Imbalance and Label Noise Heterogeneity
Federated noisy label learning (FNLL) is emerging as a promising tool for privacy-preserving multi-source decentralized learning.
MAMIQA: No-Reference Image Quality Assessment Based on Multiscale Attention Mechanism With Natural Scene Statistics
No-Reference Image Quality Assessment aims to evaluate the perceptual quality of an image, according to human perception.
DataAI-6G: A System Parameters Configurable Channel Dataset for AI-6G Research
A common and accurate dataset is essential for the research of AI communication.
Carbon emissions and sustainability of launching 5G mobile networks in China
We show that the decline in carbon efficiency leads to a carbon efficiency trap, estimated to cause additional carbon emissions of 23. 82 +- 1. 07 megatons in China.
Marketing Budget Allocation with Offline Constrained Deep Reinforcement Learning
We further show that this method is guaranteed to converge to the optimal policy, which cannot be achieved by previous value-based reinforcement learning methods for marketing budget allocation.
ConvFormer: Plug-and-Play CNN-Style Transformers for Improving Medical Image Segmentation
Following CSA, 2D convolution is utilized for feature refinement through CFFN.
SAMUS: Adapting Segment Anything Model for Clinically-Friendly and Generalizable Ultrasound Image Segmentation
Segment anything model (SAM), an eminent universal image segmentation model, has recently gathered considerable attention within the domain of medical image segmentation.
Boosting Facial Action Unit Detection Through Jointly Learning Facial Landmark Detection and Domain Separation and Reconstruction
Recently how to introduce large amounts of unlabeled facial images in the wild into supervised Facial Action Unit (AU) detection frameworks has become a challenging problem.
Exploration of visual prompt in Grounded pre-trained open-set detection
Text prompts are crucial for generalizing pre-trained open-set object detection models to new categories.
FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heterogeneous Annotation Noise
Specifically, noise estimation at each client is accomplished through the Gaussian mixture model and then incorporated into model aggregation in a layer-wise manner to up-weight high-quality clients.
Panoramic Image Inpainting With Gated Convolution And Contextual Reconstruction Loss
In response to these challenges, we propose a panoramic image inpainting framework that consists of a Face Generator, a Cube Generator, a side branch, and two discriminators.
Joint End-to-End Image Compression and Denoising: Leveraging Contrastive Learning and Multi-Scale Self-ONNs
Noisy images are a challenge to image compression algorithms due to the inherent difficulty of compressing noise.
Digital Twin Channel for 6G: Concepts, Architectures and Potential Applications
Digital twin channel (DTC) is the real-time mapping of a wireless channel from the physical world to the digital world, which is expected to provide significant performance enhancements for the sixth-generation (6G) air-interface design.
SAMCT: Segment Any CT Allowing Labor-Free Task-Indicator Prompts
Specifically, based on SAM, SAMCT is further equipped with a U-shaped CNN image encoder, a cross-branch interaction module, and a task-indicator prompt encoder.
