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11 papers · 1 filter

cs.RO2026

Ego2Contact: Predicting Touch from Egocentric Human Video for Contact-Rich Robot Manipulation

Qianqian Yang, Dayou Li, Bangya Liu +11

Contact locations and interaction forces are critical for contact-rich robot manipulation but are often ambiguous from vision alone. Measuring them on robots requires specialized t…

cs.CR2026

CyberArena: Benchmarking AI Agents in Live Symmetric Attack-and-Defense Combat

Bangya Liu, Jianhong Tu, Yueyang Pan +18

AI agents are demonstrating increasingly strong offensive and defensive cybersecurity capabilities in the real world. Current benchmarks mostly evaluate agents in isolation against…

cs.CV2026

AnaDiffusion: Anatomically Compositional Latent Diffusion for Controllable 3D Brain MRI Generation

Huiwen Han, Lulin Liu, Bangya Liu +8

3D brain MRI generation has made significant advances in medical imaging, simulation, and controllable anatomical analysis. However, existing generative models typically synthesize…

cs.CV2026

OpenLongTail: Generative Scaling of Long-Tail Driving Data

Lulin Liu, Nuo Chen, Yan Wang +15

Scaling robust driving policies is fundamentally bottlenecked by the scarcity of edge cases in curated datasets. While the real world continuously captures these critical events, s…

cs.RO2026

Behavior Uncloning: Distilling Mode Redirection into Policy Weights without Inference-Time Steering

Hao Wang, Jiuzhou Lei, Dayou Li +5

Behavior-cloned policies often learn multiple behavior modes from demonstration datasets, including modes that are unsafe or otherwise undesired at deployment. For example, a polic…

cs.CV2026

SpatialStack: Layered Geometry-Language Fusion for 3D VLM Spatial Reasoning

Jian Zhang, Shijie Zhou, Bangya Liu +2

Large vision-language models (VLMs) still struggle with reliable 3D spatial reasoning, a core capability for embodied and physical AI systems. This limitation arises from their ina…

cs.CV2026

VEFX-Bench: A Holistic Benchmark for Generic Video Editing and Visual Effects

Xiangbo Gao, Sicong Jiang, Bangya Liu +12

As AI-assisted video creation becomes increasingly practical, instruction-guided video editing has become essential for refining generated or captured footage to meet professional…

cs.CV2026

Accelerating Transformer-Based Monocular SLAM via Geometric Utility Scoring

Xinmiao Xiong, Bangya Liu, Hao Wang +7

Geometric Foundation Models (GFMs) have recently advanced monocular SLAM by providing robust, calibration-free 3D priors. However, deploying these models on dense video streams int…

cs.CV2026

Egocentric World Model for Photorealistic Hand-Object Interaction Synthesis

Dayou Li, Lulin Liu, Bangya Liu +6

To serve as a scalable data source for embodied AI, world models should act as true simulators that infer interaction dynamics strictly from user actions, rather than mere conditio…

cs.RO2026

Learning Actionable Manipulation Recovery via Counterfactual Failure Synthesis

Dayou Li, Jiuzhou Lei, Hao Wang +6

While recent foundation models have significantly advanced robotic manipulation, these systems still struggle to autonomously recover from execution errors. Current failure-learnin…

cs.CV2026

MV-S2V: Multi-View Subject-Consistent Video Generation

Ziyang Song, Xinyu Gong, Bangya Liu +1

Existing Subject-to-Video Generation (S2V) methods have achieved high-fidelity and subject-consistent video generation, yet remain constrained to single-view subject references. Th…