Kun-Ru Wu

VideoEvent: Leveraging Relevance and LLMs for Video Question Answering

ViewMind3D: Modular View-Aware Inference for Training-Free 3D-QA

ViewMind3D is presented, a fully training-free and modular framework for 3D spatial reasoning over multi-view observations of a scene without requiring complete 3D reconstruction, which improves performance on spatially grounded question types, such as ``What''questions in SQA3D, while maintaining strong overall accura...

LongE2V: Long-Horizon Event-based Video Reconstruction, Prediction, and Frame Interpolation with Video Diffusion Models

This work proposes LongE2V, a novel approach that leverages pre-trained video diffusion priors to jointly handle event-based video reconstruction, prediction, and frame interpolation, and introduces Autoregressive Unrolling and Adaptive Context Switching to mitigate temporal drift in extremely long sequences.