activity
20242026
most cited2nd Place Solution for MOSE Track in CVPR 2024 PVUW workshop: Complex Video Object Segmentation

1 citations · 2 across the 5 of their papers we have counts for

collaborators

9 papers

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.GR2025

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…