1 citations · 3 across the 6 of their papers we have counts for
6 papers
LakeMLB: Data Lake Machine Learning Benchmark
Feiyu Pan, Tianbin Zhang, Aoqian Zhang +5
Data lakes have become a fundamental platform for large-scale machine learning by enabling flexible management of heterogeneous data. Despite their growing importance, standardized…
LSVOS Challenge Report: Large-scale Complex and Long Video Object Segmentation
Henghui Ding, Lingyi Hong, Chang Liu +30
Despite the promising performance of current video segmentation models on existing benchmarks, these models still struggle with complex scenes. In this paper, we introduce the 6th…
UNINEXT-Cutie: The 1st Solution for LSVOS Challenge RVOS Track
Hao Fang, Feiyu Pan, Xiankai Lu +2
Referring video object segmentation (RVOS) relies on natural language expressions to segment target objects in video. In this year, LSVOS Challenge RVOS Track replaced the origin Y…
Video Object Segmentation via SAM 2: The 4th Solution for LSVOS Challenge VOS Track
Feiyu Pan, Hao Fang, Runmin Cong +2
Video Object Segmentation (VOS) task aims to segmenting a particular object instance throughout the entire video sequence given only the object mask of the first frame. Recently, S…
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…
3rd Place Solution for MeViS Track in CVPR 2024 PVUW workshop: Motion Expression guided Video Segmentation
Feiyu Pan, Hao Fang, Xiankai Lu
Referring video object segmentation (RVOS) relies on natural language expressions to segment target objects in video, emphasizing modeling dense text-video relations. The current R…