IEEE

Cooperative Multi-Agent Deep Reinforcement Learning for Dynamic Task Execution and Resource Allocation in Vehicular Edge Computing

Abstract: Computer vision plays a crucial role in enabling connected autonomous vehicles (CAVs) to observe and comprehend their surroundings. The computer vision tasks are typically based on ...
IEEE

Multi-Scale Structural Graph Convolutional Network for Skeleton-Based Action Recognition

Abstract: Graph convolutional networks (GCNs) have attracted considerable interest in skeleton-based action recognition. Existing GCN-based models have proposed methods to learn dynamic graph ...
GitHub

Diffusion Transformers with Representation Autoencoders (RAE)

We present Representation Autoencoders (RAE), a class of autoencoders that utilize pretrained, frozen representation encoders such as DINOv2 and SigLIP2 as encoders with trained ViT decoders. RAE can ...
GitHub

Revitalizing Convolutional Network for Image Restoration

All resulting images and pre-trained models are available in the provided links. 11/26/2024 Code for real haze and haze4k are released. 07/22/2024 We release the code for dehazing (ITS/OTS), desnowing ...