Search Results for author:
Found 12 papers, 1 papers with code
Looking Through the Glass: Neural Surface Reconstruction Against High Specular Reflections
To remedy this issue, we present a novel surface reconstruction framework, NeuS-HSR, based on implicit neural rendering.
Is Stochastic Gradient Descent Near Optimal?
However, existing computational theory suggests that, even for single-hidden-layer teacher networks, to attain small error for all such teacher networks, the computation required to achieve this sample complexity is intractable.
Deep Learning Assisted Optimization for 3D Reconstruction from Single 2D Line Drawings
In this paper, we revisit the long-standing problem of automatic reconstruction of 3D objects from single line drawings.
AMinerGNN: Heterogeneous Graph Neural Network for Paper Click-through Rate Prediction with Fusion Query
Paper recommendation with user-generated keyword is to suggest papers that simultaneously meet user's interests and are relevant to the input keyword.
Click-Through Rate Prediction
Graph Representation Learning
+1
An Information-Theoretic Framework for Supervised Learning
For a particular prior distribution on weights, we establish sample complexity bounds that are simultaneously width independent and linear in depth.
Over-the-Air Aggregation for Federated Learning: Waveform Superposition and Prototype Validation
In this paper, we develop an orthogonal-frequency-division-multiplexing (OFDM)-based over-the-air (OTA) aggregation solution for wireless federated learning (FL).
Fully Three-dimensional Radial Visualization
We develop methodology for three-dimensional (3D) radial visualization (RadViz) of multidimensional datasets.
Heterogeneous Graph-Based Multimodal Brain Network Learning
Other experiments also indicate that our proposed model with a pretraining strategy alleviates the problem of limited labelled data and yields a significant improvement in accuracy.
Systematic design and experimental demonstration of transmission-type multiplexed acoustic meta-holograms
Acoustic holograms have promising applications in sound-field reconstruction, particle manipulation, ultrasonic haptics and therapy.
Applied Physics
Transfusion: A Novel SLAM Method Focused on Transparent Objects
In this paper, we propose a novel SLAM approach called transfusion that allows transparent object existence and recovery in the video input.
A Deep Learning Method for Complex Human Activity Recognition Using Virtual Wearable Sensors
The experimental results show that the proposed method can surprisingly converge in a few iterations and achieve an accuracy of 91. 15% on a real IMU dataset, demonstrating the efficiency and effectiveness of the proposed method.
Visualization of Labeled Mixed-featured Datasets
We develop methodology for visualization of labeled mixed-featured datasets.
