1 citations · 2 across the 9 of their papers we have counts for
9 papers
The 1st PortraitCraft Challenge: A CVPR 2026 Workshop Competition on Portrait Composition Understanding and Generation
Zijie Lou, Youyun Tang, Xiaochao Qu +40
This paper presents an overview of the inaugural PortraitCraft Challenge, held as one of the official competitions at CVPR 2026. The challenge focuses on portrait composition under…
Self-supervised Learning Matters: A Simple Ensemble Solution for Micro-Gesture Recognition
Tingyi Liu, Kun Li, Fei Wang +5
In this paper, we present XInsight Lab's solution to the micro-gesture classification track of the 4th MiGA Challenge at IJCAI 2026, in which our solution ranked first and achieved…
FlowSeg: Dynamic Semantic Guidance for LLM-Conditioned Segmentation
Zekang Zhang, Guangyu Gao, Youyun Tang +7
LLM-conditioned segmentation has recently advanced rapidly by coupling large language models with iterative mask generation frameworks. However, we identify a persistent failure mo…
MiVE: Multiscale Vision-language features for reference-guided video Editing
Tong Wang, Meng Zou, Chengjing Wu +4
Reference-guided video editing takes a source video, a text instruction, and a reference image as inputs, requiring the model to faithfully apply the instructed edits while preserv…
Learning Stochastic Bridges for Video Object Removal via Video-to-Video Translation
Zijie Lou, Xiangwei Feng, Jiaxin Wang +7
Existing video object removal methods predominantly rely on diffusion models following a noise-to-data paradigm, where generation starts from uninformative Gaussian noise. This app…
EVPGS: Enhanced View Prior Guidance for Splatting-based Extrapolated View Synthesis
Jiahe Li, Feiyu Wang, Xiaochao Qu +3
Gaussian Splatting (GS)-based methods rely on sufficient training view coverage and perform synthesis on interpolated views. In this work, we tackle the more challenging and undere…
2nd Place Solution for MOSE Track in CVPR 2024 PVUW workshop: Complex Video Object Segmentation
Zhensong Xu, Jiangtao Yao, Chengjing Wu +2
Complex video object segmentation serves as a fundamental task for a wide range of downstream applications such as video editing and automatic data annotation. Here we present the…
Semantic Segmentation on VSPW Dataset through Masked Video Consistency
Chen Liang, Qiang Guo, Chongkai Yu +3
Pixel-level Video Understanding requires effectively integrating three-dimensional data in both spatial and temporal dimensions to learn accurate and stable semantic information fr…
3rd Place Solution for PVUW Challenge 2024: Video Panoptic Segmentation
Ruipu Wu, Jifei Che, Han Li +3
Video panoptic segmentation is an advanced task that extends panoptic segmentation by applying its concept to video sequences. In the hope of addressing the challenge of video pano…