Lior Shapira — accepted AI-conference papers

2024

MaskINT: Video Editing via Interpolative Non-autoregressive Masked Transformers

Haoyu Ma, Shahin Mahdizadehaghdam, Bichen Wu, Zhipeng Fan, Yuchao Gu, Wenliang Zhao +2

CVPR 2024poster

Recent advances in generative AI have significantly enhanced image and video editing particularly in the context of text prompt control. State-of-the-art approaches predominantly rely on diffusion models to accomplish these tasks. However the computational demands of diffusion-based methods are subs…

Cited by 4 Source ↗PDF ↗Scholar ↗

2021

Contrastive Learning for Label Efficient Semantic Segmentation

Xiangyun Zhao, Raviteja Vemulapalli, Philip Andrew Mansfield, Boqing Gong, Bradley Green, Lior Shapira +1

ICCV 2021poster

Collecting labeled data for the task of semantic segmentation is expensive and time-consuming, as it requires dense pixel-level annotations. While recent Convolutional Neural Network (CNN) based semantic segmentation approaches have achieved impressive results by using large amounts of labeled train…

Cited by 209 PDF ↗code ↗Scholar ↗