30 citations · 104 across the 11 of their papers we have counts for
11 papers
Exploring Large Language Models for Communication Games: An Empirical Study on Werewolf
Yuzhuang Xu, Shuo Wang, Peng Li +4
Communication games, which we refer to as incomplete information games that heavily depend on natural language communication, hold significant research value in fields such as econ…
Test-Time Training on Video Streams
Renhao Wang, Yu Sun, Arnuv Tandon +4
Prior work has established Test-Time Training (TTT) as a general framework to further improve a trained model at test time. Before making a prediction on each test instance, the mo…
MonoNeRF: Learning Generalizable NeRFs from Monocular Videos without Camera Pose
Yang Fu, Ishan Misra, Xiaolong Wang
We propose a generalizable neural radiance fields - MonoNeRF, that can be trained on large-scale monocular videos of moving in static scenes without any ground-truth annotations of…
VideoINR: Learning Video Implicit Neural Representation for Continuous Space-Time Super-Resolution
Zeyuan Chen, Yinbo Chen, Jingwen Liu +5
Videos typically record the streaming and continuous visual data as discrete consecutive frames. Since the storage cost is expensive for videos of high fidelity, most of them are s…
Joint Hand Motion and Interaction Hotspots Prediction from Egocentric Videos
Shaowei Liu, Subarna Tripathi, Somdeb Majumdar +1
We propose to forecast future hand-object interactions given an egocentric video. Instead of predicting action labels or pixels, we directly predict the hand motion trajectory and…
Look Outside the Room: Synthesizing A Consistent Long-Term 3D Scene Video from A Single Image
Xuanchi Ren, Xiaolong Wang
Novel view synthesis from a single image has recently attracted a lot of attention, and it has been primarily advanced by 3D deep learning and rendering techniques. However, most w…