activity
20182026
most citedEnhancing Few-shot NER with Prompt Ordering based Data Augmentation

4 citations · 7 across the 14 of their papers we have counts for

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Showing 2025Show all

5 papers · 1 filter

cs.CV2025

OnlineSplatter: Pose-Free Online 3D Reconstruction for Free-Moving Objects

Mark He Huang, Lin Geng Foo, Christian Theobalt +2

Free-moving object reconstruction from monocular video remains challenging, particularly without reliable pose or depth cues and under arbitrary object motion. We introduce OnlineS…

cs.CV2025

TSTMotion: Training-free Scene-aware Text-to-motion Generation

Ziyan Guo, Haoxuan Qu, Hossein Rahmani +4

Text-to-motion generation has recently garnered significant research interest, primarily focusing on generating human motion sequences in blank backgrounds. However, human motions…

cs.CV2025

Visual Prompting for One-shot Controllable Video Editing without Inversion

Zhengbo Zhang, Yuxi Zhou, Duo Peng +4

One-shot controllable video editing (OCVE) is an important yet challenging task, aiming to propagate user edits that are made -- using any image editing tool -- on the first frame…

cs.CV2025

POPEN: Preference-Based Optimization and Ensemble for LVLM-Based Reasoning Segmentation

Lanyun Zhu, Tianrun Chen, Qianxiong Xu +5

Existing LVLM-based reasoning segmentation methods often suffer from imprecise segmentation results and hallucinations in their text responses. This paper introduces POPEN, a novel…

cs.CV2025

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm

Ziyan Guo, Zeyu Hu, De Wen Soh +1

Human motion generation and editing are key components of computer vision. However, current approaches in this field tend to offer isolated solutions tailored to specific tasks, wh…