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Feng Wu

4 papers indexed

arxivcs.CVcs.AI2026-07-07

NegROI: Click-Centric Uncertainty-Guided Refinement with Scene-Conditioned Negative Prompts for Robust Interactive 3D Segmentation

Shuheng Zhang, Feng Wu

Interactive 3D segmentation aims to extract object masks in point clouds with minimal user clicks. Despite recent progress, most existing approaches still struggle with (i) coarse voxel resolution that blurs fine boundaries under limited clicks and (ii) hard false positives cause…

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arxivcs.ROcs.CR2026-07-04

Occluding the Solution Space: Planner-Agnostic Adversarial Attacks on Tolerance-Aware Manipulation

Keke Tang, Tianyu Hao, Weilong Peng, Hao Jiang, Feng Wu, Peican Zhu, et al.

Adversarial attacks on motion planning are crucial for evaluating and quantifying the intrinsic robustness of robotic manipulation. However, existing approaches are typically limited by restrictive exact-pose objectives and their reliance on planner-in-the-loop queries. To addres…

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crossrefAdvanced Science2026-06-30

Deep Learning Network‐Tailored Microenvironment Matching of 4D Bioprinting Bioactive Scaffolds for Bone Regeneration

Xiongjie Liang, Yuechi Zhang, Weifeng Hu, Shiyan Lv, Fan Jia, Yan Zhang, et al.

ABSTRACT Pathological microenvironments linked to aging, trauma, malignancies, and metabolic disorders significantly hinder bone fractures and frequently result in fracture nonunion, posing substantial worldwide clinical difficulties. Widely prevalent therapies encounter difficul…

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arxiveess.IVcs.CV2026-06-30

Accelerating Merge with Motion Vector Difference via Filter Difference Analysis for VVenC

Xinmin Feng, Shengyang Xu, Jianhua Chen, Li Li, Dong Liu, Feng Wu

Merge with Motion Vector Difference (MMVD) is a key coding tool in Versatile Video Coding for improving motion prediction accuracy. However, its exhaustive search strategy imposes a significant computational burden on the encoder. To address this issue, we propose a novel fast MM…

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