150 citations · 326 across the 27 of their papers we have counts for
28 papers · 1 filter
Uni3D-MoE: Scalable Multimodal 3D Scene Understanding via Mixture of Experts
Yue Zhang, Yingzhao Jian, Hehe Fan +2
Recent advancements in multimodal large language models (MLLMs) have demonstrated considerable potential for comprehensive 3D scene understanding. However, existing approaches typi…
TSGS: Improving Gaussian Splatting for Transparent Surface Reconstruction via Normal and De-lighting Priors
Mingwei Li, Pu Pang, Hehe Fan +2
Reconstructing transparent surfaces is essential for tasks such as robotic manipulation in labs, yet it poses a significant challenge for 3D reconstruction techniques like 3D Gauss…
VideoGrain: Modulating Space-Time Attention for Multi-grained Video Editing
Xiangpeng Yang, Linchao Zhu, Hehe Fan +1
Recent advancements in diffusion models have significantly improved video generation and editing capabilities. However, multi-grained video editing, which encompasses class-level,…
EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space
Jianrong Zhang, Hehe Fan, Yi Yang
Diffusion models, particularly latent diffusion models, have demonstrated remarkable success in text-driven human motion generation. However, it remains challenging for latent diff…
ZeroMamba: Exploring Visual State Space Model for Zero-Shot Learning
Wenjin Hou, Dingjie Fu, Kun Li +3
Zero-shot learning (ZSL) aims to recognize unseen classes by transferring semantic knowledge from seen classes to unseen ones, guided by semantic information. To this end, existing…
Prototype Learning for Micro-gesture Classification
Guoliang Chen, Fei Wang, Kun Li +5
In this paper, we briefly introduce the solution developed by our team, HFUT-VUT, for the track of Micro-gesture Classification in the MiGA challenge at IJCAI 2024. The task of mic…