5 papers
Few-Shot 3D Volumetric Segmentation with Multi-Surrogate Fusion
Meng Zheng, Benjamin Planche, Zhongpai Gao +3
Conventional 3D medical image segmentation methods typically require learning heavy 3D networks (e.g., 3D-UNet), as well as large amounts of in-domain data with accurate pixel/voxe…
Large Language Models for Automatic Milestone Detection in Group Discussions
Zhuoxu Duan, Zhengye Yang, Samuel Westby +3
Large language models like GPT have proven widely successful on natural language understanding tasks based on written text documents. In this paper, we investigate an LLM's perform…
Context-aware Video Anomaly Detection in Long-Term Datasets
Zhengye Yang, Richard Radke
Video anomaly detection research is generally evaluated on short, isolated benchmark videos only a few minutes long. However, in real-world environments, security cameras observe t…
Multimodality in Group Communication Research
Robin Lange, Brooke Foucault Welles, Gyanendra Sharma +3
Team interactions are often multisensory, requiring members to pick up on verbal, visual, spatial and body language cues. Multimodal research, research that captures multiple modes…
Self-supervised Learning with Local Contrastive Loss for Detection and Semantic Segmentation
Ashraful Islam, Ben Lundell, Harpreet Sawhney +3
We present a self-supervised learning (SSL) method suitable for semi-global tasks such as object detection and semantic segmentation. We enforce local consistency between self-lear…