31 citations · 31 across the 5 of their papers we have counts for
6 papers · 1 filter
DynamicHOI: Coupled Dynamics for Physics-aware HOI Reconstruction
Wenliang Guo, Zhanbo Huang, Yu Kong
We study hand-object interaction (HOI) reconstruction from monocular RGB videos, where partial observations can produce visually plausible yet mechanically inconsistent trajectorie…
H-Flow: Self-supervised Human Scene Flow via Physics-inspired Joint Multi-modal Learning
Zhanbo Huang, Xiaoming Liu, Yu Kong
Parametric human models capture global pose but cannot represent the non-rigid surface dynamics of clothing and soft tissue. Generic scene flow estimates dense motion but breaks do…
Show Me: Unifying Instructional Image and Video Generation with Diffusion Models
Yujiang Pu, Zhanbo Huang, Vishnu Boddeti +1
Generating visual instructions in a given context is essential for developing interactive world simulators. While prior works address this problem through either text-guided image…
BiggerGait: Unlocking Gait Recognition with Layer-wise Representations from Large Vision Models
Dingqiang Ye, Chao Fan, Zhanbo Huang +4
Large vision models (LVM) based gait recognition has achieved impressive performance. However, existing LVM-based approaches may overemphasize gait priors while neglecting the intr…
H-MoRe: Learning Human-centric Motion Representation for Action Analysis
Zhanbo Huang, Xiaoming Liu, Yu Kong
In this paper, we propose H-MoRe, a novel pipeline for learning precise human-centric motion representation. Our approach dynamically preserves relevant human motion while filterin…
Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection
Jinyuan Liu, Xin Fan, Zhanbo Huang +4
This study addresses the issue of fusing infrared and visible images that appear differently for object detection. Aiming at generating an image of high visual quality, previous ap…