3 papers
cs.CV2025
Video Event Reasoning and Prediction by Fusing World Knowledge from LLMs with Vision Foundation Models
L'ea Dubois, Klaus Schmidt, Chengyu Wang +3
Current video understanding models excel at recognizing "what" is happening but fall short in high-level cognitive tasks like causal reasoning and future prediction, a limitation r…
eess.IV2025
Learning Event-guided Exposure-agnostic Video Frame Interpolation via Adaptive Feature Blending
Junsik Jung, Yoonki Cho, Woo Jae Kim +2
Exposure-agnostic video frame interpolation (VFI) is a challenging task that aims to recover sharp, high-frame-rate videos from blurry, low-frame-rate inputs captured under unknown…
stat.ML2025
Information Theory in Open-world Machine Learning Foundations, Frameworks, and Future Direction
Lin Wang
Open world Machine Learning (OWML) aims to develop intelligent systems capable of recognizing known categories, rejecting unknown samples, and continually learning from novel infor…