6 papers · 1 filter
Is Video Anomaly Detection Misframed? Evidence from LLM-Based and Multi-Scene Models
Furkan Mumcu, Michael J. Jones, Anoop Cherian +1
Recent video anomaly detection research has expanded rapidly with an emphasis on general models of normality intended to work across many different scenes. While this focus has led…
Towards Open-Vocabulary Multimodal 3D Object Detection with Attributes
Xinhao Xiang, Kuan-Chuan Peng, Suhas Lohit +2
3D object detection plays a crucial role in autonomous systems, yet existing methods are limited by closed-set assumptions and struggle to recognize novel objects and their attribu…
Programmatic Video Prediction Using Large Language Models
Hao Tang, Kevin Ellis, Suhas Lohit +2
The task of estimating the world model describing the dynamics of a real world process assumes immense importance for anticipating and preparing for future outcomes. For applicatio…
UWAV: Uncertainty-weighted Weakly-supervised Audio-Visual Video Parsing
Yung-Hsuan Lai, Janek Ebbers, Yu-Chiang Frank Wang +3
Audio-Visual Video Parsing (AVVP) entails the challenging task of localizing both uni-modal events (i.e., those occurring exclusively in either the visual or acoustic modality of a…
Multimodal 3D Object Detection on Unseen Domains
Deepti Hegde, Suhas Lohit, Kuan-Chuan Peng +2
LiDAR datasets for autonomous driving exhibit biases in properties such as point cloud density, range, and object dimensions. As a result, object detection networks trained and eva…
Equivariant Spatio-Temporal Self-Supervision for LiDAR Object Detection
Deepti Hegde, Suhas Lohit, Kuan-Chuan Peng +2
Popular representation learning methods encourage feature invariance under transformations applied at the input. However, in 3D perception tasks like object localization and segmen…