2 citations · 2 across the 12 of their papers we have counts for
12 papers
MemCatalyst: Amplifying Data Auditing on Vision-Language Models via Data Poisoning
Xukun Luan, Jinyan Liu, Yuhui Gong +4
Vision-Language models (VLMs) achieve outstanding performance largely due to the amount of training data available on the internet. At the same time, data holders (e.g., artists) u…
SparkVLA: Stop-Aware Hierarchical VLA with Adaptive Action Chunking for Long-Horizon Manipulation
Xunyao Lei, Renjun Wu, Tianlin Huo +1
At every re-observation point in a hierarchical Vision-Language-Action (VLA) system, two interface decisions must be made: when to terminate the current subtask and how far to exec…
ViTaR: Visuo-Tactile Residual Adaptation for Foundation VLA Manipulation
Yi Wang, Renjun Wu, Jinyan Liu +1
As Vision-Language-Action (VLA) models scale toward real-world deployment, contact-rich manipulation exposes a critical blind spot: these policies encode broad visual-semantic prio…
Code-Poisoning Property Inference Attacks
Xukun Luan, Yuhui Gong, Gang Zhang +4
The flourishing code hosting platforms and coding agents enable even beginners with private data to build tailored Machine Learning (ML) models using available code quickly. The tr…
Label Shift Aware Adaptation for Online Zero-shot Learning with Contrastive Language-Image Pre-Training (CLIP)
Pengxiao Han, Changkun Ye, Yanshuo Wang +5
Vision-language models like Contrastive Language-Image Pre-Training (CLIP) have been extensively studied in data-scarce scenarios. A particularly challenging and realistic task in…
VLALeaks: Membership Inference Attacks against Vision-Language-Action Models
Xukun Luan, Jinyan Liu, Xuesong Li +4
Vision-Language-Action (VLA) models enable end-to-end robot control and have garnered widespread attention. However, the memorization of training data inherent to VLA, coupled with…
GeoHAT: Geometry-Adaptive Hybrid Action Transformer for Mobile Manipulation
Xiangyu Zhu, Renjun Wu, Luzhou Ge +2
Whole-body mobile manipulation requires coordinating mobile base and manipulator under shifting viewpoints, posing challenges in geometric perception and action generation. Current…
DGSG-Mind: Dynamic 3D Gaussian Scene Graphs for Long-Term Scene Understanding and Grounding
Luzhou Ge, Xiangyu Zhu, Jinyan Liu +1
Integrating open-vocabulary semantic information into dynamic 3D scene representations is essential for long-term embodied scene understanding. However, existing methods often suff…
ReMAP-DP: Reprojected Multi-view Aligned PointMaps for Diffusion Policy
Xinzhang Yang, Renjun Wu, Jinyan Liu +1
Generalist robot policies built upon 2D visual representations excel at semantic reasoning but inherently lack the explicit 3D spatial awareness required for high-precision tasks.…
MVHOI: Bridge Multi-view Condition to Complex Human-Object Interaction Video Reenactment via 3D Foundation Model
Jinguang Tong, Jinbo Wu, Kaisiyuan Wang +12
Human-Object Interaction (HOI) video reenactment aims to transfer the interaction dynamics of a source video to a novel target object while preserving realistic hand-object coordin…
Dynamic Legged Ball Manipulation on Rugged Terrains with Hierarchical Reinforcement Learning
Dongjie Zhu, Zhuo Yang, Tianhang Wu +4
Advancing the dynamic loco-manipulation capabilities of quadruped robots in complex terrains is crucial for performing diverse tasks. Specifically, dynamic ball manipulation in rug…
DynamicGSG: Dynamic 3D Gaussian Scene Graphs for Environment Adaptation
Luzhou Ge, Xiangyu Zhu, Zhuo Yang +1
In real-world scenarios, environment changes caused by human or agent activities make it extremely challenging for robots to perform various long-term tasks. Recent works typically…