output
20122026
most citedSimple and Deep Graph Convolutional Networks

402 citations

Showing 2024Show all

14 papers · 1 filter

cs.LG2024★ 1 cited

Explainable Fuzzy Neural Network with Multi-Fidelity Reinforcement Learning for Micro-Architecture Design Space Exploration

Hanwei Fan, Ya Wang, Sicheng Li +2

With the continuous advancement of processors, modern micro-architecture designs have become increasingly complex. The vast design space presents significant challenges for human d…

cs.CV2024★ 1 cited

SemTalk: Holistic Co-speech Motion Generation with Frame-level Semantic Emphasis

Xiangyue Zhang, Jianfang Li, Jiaxu Zhang +4

Co-speech gesture generation must carefully integrate common rhythmic motion with rare yet essential semantic gestures. In this work, we propose SemTalk for holistic co-speech gest…

eess.IV2024★ 3 cited

Generative Human Video Compression with Multi-granularity Temporal Trajectory Factorization

Shanzhi Yin, Bolin Chen, Shiqi Wang +1

In this paper, we propose a novel Multi-granularity Temporal Trajectory Factorization framework for generative human video compression, which holds great potential for bandwidth-co…

cs.LG2024★ 2 cited

SAttention: Improving Long Sequence Attention with Smoothed Skeleton Sketching

Xue Wang, Tian Zhou, Jianqing Zhu +6

Attention based models have achieved many remarkable breakthroughs in numerous applications. However, the quadratic complexity of Attention makes the vanilla Attention based models…

cs.MM2024

Subjective and Objective Quality-of-Experience Evaluation Study for Live Video Streaming

Zehao Zhu, Wei Sun, Jun Jia +7

In recent years, live video streaming has gained widespread popularity across various social media platforms. Quality of experience (QoE), which reflects end-users' satisfaction an…

cs.CV2024★ 4 cited

From Geometric Mimicry to Comprehensive Generation: A Context-Informed Multimodal Diffusion Model for Urban Morphology Synthesis

Fangshuo Zhou, Huaxia Li, Liuchang Xu +5

Urban morphology is fundamental to determining urban functionality and vitality. Prevailing simulation methods, however, often oversimplify morphological generation as a geometric…