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7 papers · 1 filter

cs.RO2026

ViLoMan: Learning Visual-Proprioceptive Whole-Body Loco-Manipulation Skills for Humanoid Robots

Zejie Tian, Ruibing Hou, Bingpeng Ma +2

Humanoid loco-manipulation requires adaptive whole-body coordination to seamlessly integrate locomotion and physical interaction. Despite recent advances, learning autonomous loco-…

cs.RO2026

EMPIRE: Explicit Manipulation Planning as a Learnable Intermediate Representation for Egocentric Hand-Motion Forecasting

Wen Wang, Ruibing Hou, Hong Chang +2

Forecasting dexterous hand motions from egocentric observations is fundamental to intelligent interactive systems. Existing VLM-based methods typically map observations directly to…

cs.CV2026

AnyMo: Scaling Any-Modality Conditional Motion Generation with Masked Modeling

Yiheng Li, Zhuo Li, Ruibing Hou +4

Conditional human motion generation remains a fundamental challenge in computer vision and robotics. Despite significant progress, current methods are often constrained by fixed mo…

cs.CV2026

Component-Based Out-of-Distribution Detection

Wenrui Liu, Hong Chang, Ruibing Hou +2

Out-of-Distribution (OOD) detection requires sensitivity to subtle shifts without overreacting to natural In-Distribution (ID) diversity. However, from the viewpoint of detection g…

cs.CV2026

EgoMotion: Hierarchical Reasoning and Diffusion for Egocentric Vision-Language Motion Generation

Ruibing Hou, Mingyue Zhou, Yuwei Gui +5

Faithfully modeling human behavior in dynamic environments is a foundational challenge for embodied intelligence. While conditional motion synthesis has achieved significant advanc…

cs.CV2026

DreamActor-M2: Universal Character Image Animation via Spatiotemporal In-Context Learning

Mingshuang Luo, Shuang Liang, Zhengkun Rong +7

Character image animation aims to synthesize high-fidelity videos by transferring motion from a driving sequence to a static reference image. Despite recent advancements, existing…

cs.CV2026

CLIP-Guided Adaptable Self-Supervised Learning for Human-Centric Visual Tasks

Mingshuang Luo, Ruibing Hou, Bo Chao +4

Human-centric visual analysis plays a pivotal role in diverse applications, including surveillance, healthcare, and human-computer interaction. With the emergence of large-scale un…