79 citations · 94 across the 16 of their papers we have counts for
6 papers · 1 filter
Neural-Logic Human-Object Interaction Detection
Liulei Li, Jianan Wei, Wenguan Wang +1
The interaction decoder utilized in prevalent Transformer-based HOI detectors typically accepts pre-composed human-object pairs as inputs. Though achieving remarkable performance,…
LOGICSEG: Parsing Visual Semantics with Neural Logic Learning and Reasoning
Liulei Li, Wenguan Wang, Yi Yang
Current high-performance semantic segmentation models are purely data-driven sub-symbolic approaches and blind to the structured nature of the visual world. This is in stark contra…
Large-Scale Person Detection and Localization using Overhead Fisheye Cameras
Lu Yang, Liulei Li, Xueshi Xin +3
Location determination finds wide applications in daily life. Instead of existing efforts devoted to localizing tourist photos captured by perspective cameras, in this article, we…
Segment and Track Anything
Yangming Cheng, Liulei Li, Yuanyou Xu +4
This report presents a framework called Segment And Track Anything (SAMTrack) that allows users to precisely and effectively segment and track any object in a video. Additionally,…
Boosting Video Object Segmentation via Space-time Correspondence Learning
Yurong Zhang, Liulei Li, Wenguan Wang +3
Current top-leading solutions for video object segmentation (VOS) typically follow a matching-based regime: for each query frame, the segmentation mask is inferred according to its…
Unified Mask Embedding and Correspondence Learning for Self-Supervised Video Segmentation
Liulei Li, Wenguan Wang, Tianfei Zhou +2
The objective of this paper is self-supervised learning of video object segmentation. We develop a unified framework which simultaneously models cross-frame dense correspondence fo…