1 citations · 1 across the 6 of their papers we have counts for
6 papers
AVESFormer: Efficient Transformer Design for Real-Time Audio-Visual Segmentation
Zili Wang, Qi Yang, Linsu Shi +4
Recently, transformer-based models have demonstrated remarkable performance on audio-visual segmentation (AVS) tasks. However, their expensive computational cost makes real-time in…
R3D-AD: Reconstruction via Diffusion for 3D Anomaly Detection
Zheyuan Zhou, Le Wang, Naiyu Fang +3
3D anomaly detection plays a crucial role in monitoring parts for localized inherent defects in precision manufacturing. Embedding-based and reconstruction-based approaches are amo…
AIM: Let Any Multi-modal Large Language Models Embrace Efficient In-Context Learning
Jun Gao, Qian Qiao, Ziqiang Cao +2
In-context learning (ICL) facilitates Large Language Models (LLMs) exhibiting emergent ability on downstream tasks without updating billions of parameters. However, in the area of…
GW-MoE: Resolving Uncertainty in MoE Router with Global Workspace Theory
Haoze Wu, Zihan Qiu, Zili Wang +2
Mixture-of-Experts (MoE) has been demonstrated as an efficient method to scale up models. By dynamically and sparsely selecting activated experts, MoE can effectively reduce comput…
Lyapunov Neural Network with Region of Attraction Search
Zili Wang, Sean B. Andersson, Roberto Tron
Deep learning methods have been widely used in robotic applications, making learning-enabled control design for complex nonlinear systems a promising direction. Although deep reinf…
A Novel Garment Transfer Method Supervised by Distilled Knowledge of Virtual Try-on Model
Naiyu Fang, Lemiao Qiu, Shuyou Zhang +3
This paper proposes a novel garment transfer method supervised with knowledge distillation from virtual try-on. Our method first reasons the transfer parsing to provide shape prior…