11 citations · 32 across the 6 of their papers we have counts for
6 papers
BridgeVLA++: A Data-Efficient, Generalizable, and Memory-Augmented Vision-Language-Action Framework for 3D Manipulation
Peiyan Li, Yuze Zhu, Yixiang Chen +10
Leveraging pre-trained vision-language models (VLMs) to construct vision-language-action (VLA) models has emerged as a promising paradigm for 3D robot manipulation. However, existi…
FlowWAM: Optical Flow as a Unified Action Representation for World Action Models
Yixiang Chen, Peiyan Li, Yuan Xu +13
World Action Models (WAMs) are able to leverage pretrained video generators for both world modeling and action prediction. However, directly leveraging such video generators for co…
CityGaussian: Real-time High-quality Large-Scale Scene Rendering with Gaussians
Yang Liu, He Guan, Chuanchen Luo +4
The advancement of real-time 3D scene reconstruction and novel view synthesis has been significantly propelled by 3D Gaussian Splatting (3DGS). However, effectively training large-…
CMCGAN: A Uniform Framework for Cross-Modal Visual-Audio Mutual Generation
Wangli Hao, Zhaoxiang Zhang, He Guan
Visual and audio modalities are two symbiotic modalities underlying videos, which contain both common and complementary information. If they can be mined and fused sufficiently, pe…
Integrating both Visual and Audio Cues for Enhanced Video Caption
Wangli Hao, Zhaoxiang Zhang, He Guan +1
Video caption refers to generating a descriptive sentence for a specific short video clip automatically, which has achieved remarkable success recently. However, most of the existi…
Rethink ReLU to Training Better CNNs
Gangming Zhao, Zhaoxiang Zhang, He Guan +2
Most of convolutional neural networks share the same characteristic: each convolutional layer is followed by a nonlinear activation layer where Rectified Linear Unit (ReLU) is the…