5 citations · 13 across the 17 of their papers we have counts for
6 papers · 1 filter
LASER: Layer-wise Scale Alignment for Training-Free Streaming 4D Reconstruction
Tianye Ding, Yiming Xie, Yiqing Liang +3
Recent feed-forward reconstruction models like VGGT and achieve impressive reconstruction quality but cannot process streaming videos due to quadratic memory complexity, limi…
A Probability-guided Sampler for Neural Implicit Surface Rendering
Gonçalo Dias Pais, Valter Piedade, Moitreya Chatterjee +2
Several variants of Neural Radiance Fields (NeRFs) have significantly improved the accuracy of synthesized images and surface reconstruction of 3D scenes/objects. In all of these m…
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…
FreBIS: Frequency-Based Stratification for Neural Implicit Surface Representations
Naoko Sawada, Pedro Miraldo, Suhas Lohit +2
Neural implicit surface representation techniques are in high demand for advancing technologies in augmented reality/virtual reality, digital twins, autonomous navigation, and many…
Improving Open-World Object Localization by Discovering Background
Ashish Singh, Michael J. Jones, Kuan-Chuan Peng +3
Our work addresses the problem of learning to localize objects in an open-world setting, i.e., given the bounding box information of a limited number of object classes during train…