Summary of Moving Object Proposals with Deep Learned Optical Flow For Video Object Segmentation, by Ge Shi and Zhili Yang
Moving Object Proposals with Deep Learned Optical Flow for Video Object Segmentationby Ge Shi, Zhili…
Moving Object Proposals with Deep Learned Optical Flow for Video Object Segmentationby Ge Shi, Zhili…
Joint Attention-Guided Feature Fusion Network for Saliency Detection of Surface Defectsby Xiaoheng Jiang, Feng Yan,…
Unifying Generation and Prediction on Graphs with Latent Graph Diffusionby Cai Zhou, Xiyuan Wang, Muhan…
ScribFormer: Transformer Makes CNN Work Better for Scribble-based Medical Image Segmentationby Zihan Li, Yuan Zheng,…
The Landscape and Challenges of HPC Research and LLMsby Le Chen, Nesreen K. Ahmed, Akash…
LOCOST: State-Space Models for Long Document Abstractive Summarizationby Florian Le Bronnec, Song Duong, Mathieu Ravaut,…
Robustly overfitting latents for flexible neural image compressionby Yura Perugachi-Diaz, Arwin Gansekoele, Sandjai BhulaiFirst submitted…
A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Predictionby Wenshuo Chao, Zhaopeng Qiu,…
Deep Reinforcement Learning for Multi-Truck Vehicle Routing Problems with Multi-Leg Demand Routesby Joshua Levin, Randall…
HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling with Self-Distillation for Long-Term Forecastingby Shubao Zhao, Ming…