most citedSim-to-Real Causal Transfer: A Metric Learning Approach to Causally-Aware Interaction Representations

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Deformable Gaussian Occupancy: Decoupling Rigid and Nonrigid Motion with Factorized Distillation

Yang Gao, Wuyang Li, Po-Chien Luan +1

Understanding dynamic 3D environments is essential for safe autonomous driving, particularly when reasoning about human-centric, nonrigid agents. However, existing weakly supervise…

cs.CV2026

Drift-Resistant Navigation World Model with Anchored Epipolar Guidance

Po-Chien Luan, Zimin Xia, Wuyang Li +2

We propose Drift-Resistant Navigation World Model, a generative model that mitigates both perceptual drift and geometric drift in conventional rollout-based navigation world models…

cs.CV2026

Social-Mamba: Socially-Aware Trajectory Forecasting with State-Space Models

Po-Chien Luan, Wuyang Li, Yang Gao +1

Human trajectory forecasting is crucial for safe navigation in crowded environments, requiring models that balance accuracy with computational efficiency. Efficiently modeling soci…

cs.CV2026

EverAnimate: Minute-Scale Human Animation via Latent Flow Restoration

Wuyang Li, Yang Gao, Mariam Hassan +4

We propose EverAnimate, an efficient post-training method for long-horizon animated video generation that preserves visual quality and character identity. Long-form animation remai…

cs.LG2023★ 2 cited

Sim-to-Real Causal Transfer: A Metric Learning Approach to Causally-Aware Interaction Representations

Ahmad Rahimi, Po-Chien Luan, Yuejiang Liu +2

Modeling spatial-temporal interactions among neighboring agents is at the heart of multi-agent problems such as motion forecasting and crowd navigation. Despite notable progress, i…