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Found 7 papers, 1 papers with code
Hypergraph-based Multi-View Action Recognition using Event Cameras
By treating segments as vertices and constructing hyperedges using rule-based and KNN-based strategies, a multi-view hypergraph neural network that captures relationships across viewpoint and temporal features is established.
Convergence Analysis of Sequential Federated Learning on Heterogeneous Data
There are two categories of methods in Federated Learning (FL) for joint training across multiple clients: i) parallel FL (PFL), where clients train models in a parallel manner; and ii) sequential FL (SFL), where clients train models in a sequential manner.
Convergence Analysis of Sequential Split Learning on Heterogeneous Data
In this paper, we derive the convergence guarantees of Sequential SL (SSL, the vanilla case of SL that conducts the model training in sequence) for strongly/general/non-convex objectives on heterogeneous data.
Bilateral Control of Teleoperators with Closed Architecture and Time-Varying Delay
This paper investigates bilateral control of teleoperators with closed architecture and subjected to arbitrary bounded time-varying delay.
Event Stream Super-Resolution via Spatiotemporal Constraint Learning
Therefore, it is imperative to explore the algorithm of event stream super-resolution, which is a non-trivial task due to the sparsity and strong spatio-temporal correlation of the events from an event camera.
Large-scale neuromorphic optoelectronic computing with a reconfigurable diffractive processing unit
Here, we propose an optoelectronic reconfigurable computing paradigm by constructing a diffractive processing unit (DPU) that can efficiently support different neural networks and achieve a high model complexity with millions of neurons.
Attention-based Multi-modal Fusion Network for Semantic Scene Completion
This paper presents an end-to-end 3D convolutional network named attention-based multi-modal fusion network (AMFNet) for the semantic scene completion (SSC) task of inferring the occupancy and semantic labels of a volumetric 3D scene from single-view RGB-D images.
Ranked #13 on
3D Semantic Scene Completion
on NYUv2
