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20242026
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cs.CV2026

Native Active Perception as Reasoning for Omni-Modal Understanding

Zhenghao Xing, Ruiyang Xu, Yuxuan Wang +8

Passive models for long video understanding typically rely on a "watch-it-all" paradigm, processing frames uniformly regardless of query difficulty, causing computational cost to g…

cs.CV2026

EPS3D: End-to-End Feed-Forward 3D Panoptic Segmentation

Runsong Zhu, Jiaxin Guo, Xiaoyang Guo +9

This paper introduces EPS3D, a new end-to-end feed-forward framework for open-vocabulary 3D panoptic segmentation. Unlike existing methods relying on additional preprocessing, we d…

cs.CV2026

OmniShow: Unifying Multimodal Conditions for Human-Object Interaction Video Generation

Donghao Zhou, Guisheng Liu, Hao Yang +9

In this work, we study Human-Object Interaction Video Generation (HOIVG), which aims to synthesize high-quality human-object interaction videos conditioned on text, reference image…

cs.CV2026

EgoHandICL: Egocentric 3D Hand Reconstruction with In-Context Learning

Binzhu Xie, Shi Qiu, Sicheng Zhang +5

Robust 3D hand reconstruction in egocentric vision is challenging due to depth ambiguity, self-occlusion, and complex hand-object interactions. Prior methods mitigate these issues…

cs.CV2025

IdentityStory: Taming Your Identity-Preserving Generator for Human-Centric Story Generation

Donghao Zhou, Jingyu Lin, Guibao Shen +8

Recent visual generative models enable story generation with consistent characters from text, but human-centric story generation faces additional challenges, such as maintaining de…

cs.CV2025

COS3D: Collaborative Open-Vocabulary 3D Segmentation

Runsong Zhu, Ka-Hei Hui, Zhengzhe Liu +5

Open-vocabulary 3D segmentation is a fundamental yet challenging task, requiring a mutual understanding of both segmentation and language. However, existing Gaussian-splatting-base…