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Found 13 papers, 5 papers with code
Omni6DPose: A Benchmark and Model for Universal 6D Object Pose Estimation and Tracking
6D Object Pose Estimation is a crucial yet challenging task in computer vision, suffering from a significant lack of large-scale datasets.
Vision-Based Human Pose Estimation via Deep Learning: A Survey
In this article, we provide an up-to-date and in-depth overview of the deep learning approaches in vision-based HPE.
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.
SPCNet: Stepwise Point Cloud Completion Network
We propose a novel stepwise point cloud completion network (SPCNet) for various 3D models with large missings.
AGConv: Adaptive Graph Convolution on 3D Point Clouds
In this paper, we propose Adaptive Graph Convolution (AGConv) for wide applications of point cloud analysis.
A Novel Optimized Asynchronous Federated Learning Framework
How to find a balance between the model performance and the communication cost is a challenge in AFL.
Densely connected neural networks for nonlinear regression
Densely connected convolutional networks (DenseNet) behave well in image processing.
FastSeq: Make Sequence Generation Faster
Transformer-based models have made tremendous impacts in natural language generation.
A dynamical approach to generalized Weil's Riemann hypothesis and semisimplicity
As an application, we obtain new results on the DDC conjecture for abelian varieties and Kummer surfaces, and the generalized semisimplicity conjecture for Kummer surfaces.
Algebraic Geometry Dynamical Systems Number Theory 14G17, 37P25, 14K05, 14J28, 14C25, 14F20
Diversifying Topic-Coherent Response Generation for Natural Multi-turn Conversations
In this paper, we propose the Topic-coherent Hierarchical Recurrent Encoder-Decoder model (THRED) to diversify the generated responses without deviating the contextual topics for multi-turn conversations.
An Improved Historical Embedding without Alignment
Our method outperformed three other popular methods in terms of the number of words correctly identified to have changed in meaning.
Model Asset eXchange: Path to Ubiquitous Deep Learning Deployment
A recent trend observed in traditionally challenging fields such as computer vision and natural language processing has been the significant performance gains shown by deep learning (DL).
An image compression and encryption scheme based on deep learning
As a result, SAE can be used for image compression.
