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20192026
most citedUnderstanding and Improving Model Averaging in Federated Learning on Heterogeneous Data

26 citations · 52 across the 26 of their papers we have counts for

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5 papers · 1 filter

cs.CV2026

FA-LAM: Focus-Aware Large Avatar Model for One-Shot 4D Animatable Gaussian Head

Yingdong Hu, Yisheng He, Yiming Jiang +3

We propose FA-LAM, a Focus-Aware Large Avatar Model for one-shot animatable Gaussian head creation, while simultaneously enabling static 3D and dynamic 4D full-head recovery. The c…

cs.NI2026

OCC: Physical-Layer Assisted Congestion Control for Real-Time Communications

Yufan Zhuang, Zili Meng, Zehong Lin +1

Real-time communications (RTC) is a core technology for emerging applications in 6G, such as cloud gaming, teleoperation, and extended reality (XR), which require consistently low…

cs.CV2026

Flash-VAED: Plug-and-Play VAE Decoders for Efficient Video Generation

Lunjie Zhu, Yushi Huang, Xingtong Ge +5

Latent diffusion models have enabled high-quality video synthesis, yet their inference remains costly and time-consuming. As diffusion transformers become increasingly efficient, t…

cs.CV2026

Mon3tr: Monocular 3D Telepresence with Pre-built Gaussian Avatars as Amortization

Fangyu Lin, Yingdong Hu, Zhening Liu +3

Immersive telepresence aims to transform human interaction in AR/VR applications by enabling lifelike full-body holographic representations for enhanced remote collaboration. Howev…

cs.NI2026

Bridging Visual and Wireless Sensing via a Unified Radiation Field for 3D Radio Map Construction

Chaozheng Wen, Jingwen Tong, Zehong Lin +2

The emerging applications of next-generation wireless networks demand high-fidelity environmental intelligence. 3D radio maps bridge physical environments and electromagnetic propa…