4 citations · 6 across the 7 of their papers we have counts for
6 papers · 1 filter
Show Me When and Where: Towards Referring Video Object Segmentation in the Wild
Mingqi Gao, Jinyu Yang, Jingnan Luo +4
Referring video object segmentation (RVOS) has recently generated great popularity in computer vision due to its widespread applications. Existing RVOS setting contains elaborately…
GIFT: Generated Indoor video frames for Texture-less point tracking
Jianzheng Huang, Xianyu Mo, Ziling Liu +2
Point tracking is becoming a powerful solver for motion estimation and video editing. Compared to classical feature matching, point tracking methods have the key advantage of robus…
Agri-LLaVA: Knowledge-Infused Large Multimodal Assistant on Agricultural Pests and Diseases
Liqiong Wang, Teng Jin, Jinyu Yang +3
In the general domain, large multimodal models (LMMs) have achieved significant advancements, yet challenges persist in applying them to specific fields, especially agriculture. As…
PlantCamo: Plant Camouflage Detection
Jinyu Yang, Qingwei Wang, Feng Zheng +3
Camouflaged Object Detection (COD) aims to detect objects with camouflaged properties. Although previous studies have focused on natural (animals and insects) and unnatural (artist…
PVUW 2024 Challenge on Complex Video Understanding: Methods and Results
Henghui Ding, Chang Liu, Yunchao Wei +34
Pixel-level Video Understanding in the Wild Challenge (PVUW) focus on complex video understanding. In this CVPR 2024 workshop, we add two new tracks, Complex Video Object Segmentat…
1st Place Solution for MeViS Track in CVPR 2024 PVUW Workshop: Motion Expression guided Video Segmentation
Mingqi Gao, Jingnan Luo, Jinyu Yang +2
Motion Expression guided Video Segmentation (MeViS), as an emerging task, poses many new challenges to the field of referring video object segmentation (RVOS). In this technical re…