activity
20232025
most citedNaVILA: Legged Robot Vision-Language-Action Model for Navigation

2 citations · 6 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2025

Parallel Sequence Modeling via Generalized Spatial Propagation Network

Hongjun Wang, Wonmin Byeon, Jiarui Xu +6

We present the Generalized Spatial Propagation Network (GSPN), a new attention mechanism optimized for vision tasks that inherently captures 2D spatial structures. Existing attenti…

cs.CV2024★ 1 cited

NVILA: Efficient Frontier Visual Language Models

Zhijian Liu, Ligeng Zhu, Baifeng Shi +24

Visual language models (VLMs) have made significant advances in accuracy in recent years. However, their efficiency has received much less attention. This paper introduces NVILA, a…

cs.RO2024★ 2 cited

NaVILA: Legged Robot Vision-Language-Action Model for Navigation

An-Chieh Cheng, Yandong Ji, Zhaojing Yang +7

This paper proposes to solve the problem of Vision-and-Language Navigation with legged robots, which not only provides a flexible way for humans to command but also allows the robo…

cs.RO2024

HOVER: Versatile Neural Whole-Body Controller for Humanoid Robots

Tairan He, Wenli Xiao, Toru Lin +9

Humanoid whole-body control requires adapting to diverse tasks such as navigation, loco-manipulation, and tabletop manipulation, each demanding a different mode of control. For exa…

cs.CV2024★ 1 cited

SpatialRGPT: Grounded Spatial Reasoning in Vision Language Models

An-Chieh Cheng, Hongxu Yin, Yang Fu +5

Vision Language Models (VLMs) have demonstrated remarkable performance in 2D vision and language tasks. However, their ability to reason about spatial arrangements remains limited.…

cs.CV2024

HOIDiffusion: Generating Realistic 3D Hand-Object Interaction Data

Mengqi Zhang, Yang Fu, Zheng Ding +3

3D hand-object interaction data is scarce due to the hardware constraints in scaling up the data collection process. In this paper, we propose HOIDiffusion for generating realistic…

cs.CV2024

RGBD Objects in the Wild: Scaling Real-World 3D Object Learning from RGB-D Videos

Hongchi Xia, Yang Fu, Sifei Liu +1

We introduce a new RGB-D object dataset captured in the wild called WildRGB-D. Unlike most existing real-world object-centric datasets which only come with RGB capturing, the direc…

cs.CV2023★ 2 cited

COLMAP-Free 3D Gaussian Splatting

Yang Fu, Sifei Liu, Amey Kulkarni +3

While neural rendering has led to impressive advances in scene reconstruction and novel view synthesis, it relies heavily on accurately pre-computed camera poses. To relax this con…