Search Results for author: Xiaoxuan Liang

Found 9 papers, 2 papers with code

Constrained Generative Modeling with Manually Bridged Diffusion Models

no code implementations27 Feb 2025 Saeid Naderiparizi, Xiaoxuan Liang, Berend Zwartsenberg, Frank Wood

We develop a mechanism for combining multiple such constraints so that the resulting multiply-constrained model remains a manual bridge that respects all constraints.

Autonomous Vehicles

Sonicmesh: Enhancing 3D Human Mesh Reconstruction in Vision-Impaired Environments With Acoustic Signals

no code implementations15 Dec 2024 Xiaoxuan Liang, Wuyang Zhang, Hong Zhou, Zhaolong Wei, Sicheng Zhu, Yansong Li, Rui Yin, Jiantao Yuan, Jeremy Gummeson

3D Human Mesh Reconstruction (HMR) from 2D RGB images faces challenges in environments with poor lighting, privacy concerns, or occlusions.

Semantically Consistent Video Inpainting with Conditional Diffusion Models

no code implementations30 Apr 2024 Dylan Green, William Harvey, Saeid Naderiparizi, Matthew Niedoba, Yunpeng Liu, Xiaoxuan Liang, Jonathan Lavington, Ke Zhang, Vasileios Lioutas, Setareh Dabiri, Adam Scibior, Berend Zwartsenberg, Frank Wood

Current state-of-the-art methods for video inpainting typically rely on optical flow or attention-based approaches to inpaint masked regions by propagating visual information across frames.

Optical Flow Estimation Video Inpainting

Domain Adaptive Graph Classification

no code implementations21 Dec 2023 Siyang Luo, Ziyi Jiang, Zhenghan Chen, Xiaoxuan Liang

Moreover, our approach incorporates adaptive perturbations into the dual branches, which align the source and target distribution to address domain discrepancies.

Graph Classification Graph Representation Learning +1

Video Killed the HD-Map: Predicting Multi-Agent Behavior Directly From Aerial Images

no code implementations19 May 2023 Yunpeng Liu, Vasileios Lioutas, Jonathan Wilder Lavington, Matthew Niedoba, Justice Sefas, Setareh Dabiri, Dylan Green, Xiaoxuan Liang, Berend Zwartsenberg, Adam Ścibior, Frank Wood

The development of algorithms that learn multi-agent behavioral models using human demonstrations has led to increasingly realistic simulations in the field of autonomous driving.

Autonomous Driving Trajectory Prediction

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