most citedControlVideo: Training-free Controllable Text-to-Video Generation

34 citations · 41 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV20232 cited

AiluRus: A Scalable ViT Framework for Dense Prediction

Jin Li, Yaoming Wang, Xiaopeng Zhang +6

Vision transformers (ViTs) have emerged as a prevalent architecture for vision tasks owing to their impressive performance. However, when it comes to handling long token sequences,…

cs.CV2023

Prune Spatio-temporal Tokens by Semantic-aware Temporal Accumulation

Shuangrui Ding, Peisen Zhao, Xiaopeng Zhang +3

Transformers have become the primary backbone of the computer vision community due to their impressive performance. However, the unfriendly computation cost impedes their potential…

cs.CV202334 cited

ControlVideo: Training-free Controllable Text-to-Video Generation

Yabo Zhang, Yuxiang Wei, Dongsheng Jiang +3

Text-driven diffusion models have unlocked unprecedented abilities in image generation, whereas their video counterpart still lags behind due to the excessive training cost of temp…

cs.CV20235 cited

Multi-modal Prompting for Low-Shot Temporal Action Localization

Chen Ju, Zeqian Li, Peisen Zhao +5

In this paper, we consider the problem of temporal action localization under low-shot (zero-shot & few-shot) scenario, with the goal of detecting and classifying the action instanc…

cs.CV2022

Active Pointly-Supervised Instance Segmentation

Chufeng Tang, Lingxi Xie, Gang Zhang +3

The requirement of expensive annotations is a major burden for training a well-performed instance segmentation model. In this paper, we present an economic active learning setting,…