2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CV2024
Large Motion Video Autoencoding with Cross-modal Video VAE
Yazhou Xing, Yang Fei, Yingqing He +4
Learning a robust video Variational Autoencoder (VAE) is essential for reducing video redundancy and facilitating efficient video generation. Directly applying image VAEs to indivi…
cs.AI2024★ 2 cited
LLMs Meet Multimodal Generation and Editing: A Survey
Yingqing He, Zhaoyang Liu, Jingye Chen +13
With the recent advancement in large language models (LLMs), there is a growing interest in combining LLMs with multimodal learning. Previous surveys of multimodal large language m…
cs.CV2023
Online Overexposed Pixels Hallucination in Videos with Adaptive Reference Frame Selection
Yazhou Xing, Amrita Mazumdar, Anjul Patney +5
Low dynamic range (LDR) cameras cannot deal with wide dynamic range inputs, frequently leading to local overexposure issues. We present a learning-based system to reduce these arti…