1 citations · 2 across the 13 of their papers we have counts for
6 papers · 2 filters
Recurrent Video Masked Autoencoders
Daniel Zoran, Nikhil Parthasarathy, Yi Yang +3
We present Recurrent Video Masked-Autoencoders (RVM): a novel approach to video representation learning that leverages recurrent computation to model the temporal structure of vide…
2nd Place Solution for CVPR2024 E2E Challenge: End-to-End Autonomous Driving Using Vision Language Model
Zilong Guo, Yi Luo, Long Sha +4
End-to-end autonomous driving has drawn tremendous attention recently. Many works focus on using modular deep neural networks to construct the end-to-end archi-tecture. However, wh…
FreeLong++: Training-Free Long Video Generation via Multi-band SpectralFusion
Yu Lu, Yi Yang
Recent advances in video generation models have enabled high-quality short video generation from text prompts. However, extending these models to longer videos remains a significan…
CHRIS: Clothed Human Reconstruction with Side View Consistency
Dong Liu, Yifan Yang, Zixiong Huang +2
Creating a realistic clothed human from a single-view RGB image is crucial for applications like mixed reality and filmmaking. Despite some progress in recent years, mainstream met…
TAPNext: Tracking Any Point (TAP) as Next Token Prediction
Artem Zholus, Carl Doersch, Yi Yang +7
Tracking Any Point (TAP) in a video is a challenging computer vision problem with many demonstrated applications in robotics, video editing, and 3D reconstruction. Existing methods…
From Image to Video: An Empirical Study of Diffusion Representations
Pedro Vélez, Luisa F. Polanía, Yi Yang +4
Diffusion models have revolutionized generative modeling, enabling unprecedented realism in image and video synthesis. This success has sparked interest in leveraging their represe…