10 citations · 24 across the 6 of their papers we have counts for
6 papers
InterSyn: Interleaved Learning for Dynamic Motion Synthesis in the Wild
Yiyi Ma, Yuanzhi Liang, Xiu Li +2
We present Interleaved Learning for Motion Synthesis (InterSyn), a novel framework that targets the generation of realistic interaction motions by learning from integrated motions…
Ada-DQA: Adaptive Diverse Quality-aware Feature Acquisition for Video Quality Assessment
Hongbo Liu, Mingda Wu, Kun Yuan +5
Video quality assessment (VQA) has attracted growing attention in recent years. While the great expense of annotating large-scale VQA datasets has become the main obstacle for curr…
Efficient Meshy Neural Fields for Animatable Human Avatars
Xiaoke Huang, Yiji Cheng, Yansong Tang +3
Efficiently digitizing high-fidelity animatable human avatars from videos is a challenging and active research topic. Recent volume rendering-based neural representations open a ne…
SimVTP: Simple Video Text Pre-training with Masked Autoencoders
Yue Ma, Tianyu Yang, Yin Shan +1
This paper presents SimVTP: a Simple Video-Text Pretraining framework via masked autoencoders. We randomly mask out the spatial-temporal tubes of input video and the word tokens of…
FLAG3D: A 3D Fitness Activity Dataset with Language Instruction
Yansong Tang, Jinpeng Liu, Aoyang Liu +6
With the continuously thriving popularity around the world, fitness activity analytic has become an emerging research topic in computer vision. While a variety of new tasks and alg…
OrdinalCLIP: Learning Rank Prompts for Language-Guided Ordinal Regression
Wanhua Li, Xiaoke Huang, Zheng Zhu +4
This paper presents a language-powered paradigm for ordinal regression. Existing methods usually treat each rank as a category and employ a set of weights to learn these concepts.…