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Liu Liu

8 papers indexed

openalexMetabolomics2026-07-23

Broad-coverage targeted lipidomics reveals stage-specific lipid metabolic profiles and diagnostic and prognostic marker panels in ischemic stroke

Haoran Huang, Liu Liu, Can Zhao, Shuying Cheng, Wenxuan Li, Anbao Xu, et al.

BACKGROUND: Ischemic stroke (IS) is a major cause of mortality and disability globally, with challenges in early diagnosis and prognosis prediction. Dysregulated lipid metabolism is key to IS pathophysiology, but comprehensive profiling of lipid changes during disease progression…

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arxivcs.CVcs.HC2026-07-23

Sidewalk Moments: Are Richer Representations Always More Human-Aligned? Evidence from City-Walk Videos

Liu Liu, Freya Huying Tan, Fábio Duarte

We examine whether richer visual representations yield more human-aligned measures of urban engagement, using 61 first-person city-walk videos from YouTube segmented into over 50,000 ten-second clips and represented across four modalities: spatiotemporal video features, temporall…

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arxivcs.CV2026-07-21

IGGT4D: Streaming 4D Instance-Grounded Geometry Transformer

Zhengyu Zou, Hao Li, Kuixuan Jiao, Liu Liu, Tingyang Xiao, Xiaolin Zhou, et al.

Real-world spatial intelligence requires agents to understand scenes from continuous video streams, where objects move, persist, disappear, and reappear over time. While recent spatial foundation models have enabled generalizable feed-forward 3D reconstruction, most streaming met…

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arxivcs.CV2026-07-08

NoDrift3R: Raymap-Guided Coupling for Drift-Robust Unposed Feed-Forward 3D Reconstruction

Xiangyu Sun, Liu Liu, Seungkwon Yang, Jingbing Han, Seungtae Nam, Zhizhong Su, et al.

Pose-Free Feed-forward 3D Gaussian Splatting (3DGS) has recently emerged as a powerful paradigm for fast scene reconstruction. However, its performance degrades significantly in long image sequences due to cumulative camera pose estimation drift, which propagates errors into geom…

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arxivcs.ROcs.AIcs.HCcs.LG2026-07-08

Behavior Foundations for Quadruped Robots: ABot-C0 Technical Report

Xufeng Zhao, Fuzhi Yang, Jianhui Chen, Li Gao, Zhang Meng, Jie Gao, et al.

The motion controller is one of the most fundamental modules in embodied intelligence systems. Driven by large-scale human motion-capture data and the motion-tracking paradigm, humanoid control has achieved remarkable progress in recent years. However, migrating this recipe to th…

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arxivcs.ROcs.CV2026-07-08

EmbodiedGen V2: An Agentic, Simulation-Ready 3D World Engine for Embodied AI

Xinjie Wang, Liu Liu, Taojun Ding, Andrew Choi, Chaodong Huang, Mengao Zhao, et al.

We present EmbodiedGen V2, a generative 3D world engine for building executable policy-ready environments for embodied intelligence. Sim-ready 3D asset generation has advanced rapidly, yet assembling such assets into policy-ready task environments remains largely manual, limiting…

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arxivcs.RO2026-06-26

Unleashing Infinite Motion: Scaling Expressive Quadrupedal Motion via Generative Video Priors

Youzhi Liu, Li Gao, Yifei Qian, Liu Liu, Yang Cai, Ziqiao Li

Quadruped robots have achieved remarkable locomotion, yet their behavioral repertoire remains confined to a few gaits--far from the expressive, companion-like presence long envisioned for them. Attempts to import the humanoid recipe of large-scale motion data have inherited one t…

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