13 citations · 17 across the 5 of their papers we have counts for
5 papers
Reliability-Aware Prototype Calibration for Frozen Pose-Flow Video Anomaly Detection
Ning Dong, Yingna Su, Xin Dong +3
Pose-flow video anomaly detectors are attractive for one-class surveillance because they provide likelihood-based rankings for tracked skeleton windows. However, a single likelihoo…
SPDA-SAM: A Self-prompted Depth-Aware Segment Anything Model for Instance Segmentation
Yihan Shang, Wei Wang, Chao Huang +1
Recently, Segment Anything Model (SAM) has demonstrated strong generalizability in various instance segmentation tasks. However, its performance is severely dependent on the qualit…
Segment Every Out-of-Distribution Object
Wenjie Zhao, Jia Li, Xin Dong +2
Semantic segmentation models, while effective for in-distribution categories, face challenges in real-world deployment due to encountering out-of-distribution (OoD) objects. Detect…
What and Where: A Context-based Recommendation System for Object Insertion
Song-Hai Zhang, Zhengping Zhou, Bin Liu +4
In this work, we propose a novel topic consisting of two dual tasks: 1) given a scene, recommend objects to insert, 2) given an object category, retrieve suitable background scenes…
Pose2Seg: Detection Free Human Instance Segmentation
Song-Hai Zhang, Ruilong Li, Xin Dong +6
The standard approach to image instance segmentation is to perform the object detection first, and then segment the object from the detection bounding-box. More recently, deep lear…