no code implementations • ICML 2017 • Bo Liu, Xiao-Tong Yuan, Lezi Wang, Qingshan Liu, Dimitris N. Metaxas
It remains open to explore duality theory and algorithms in such a non-convex and NP-hard problem setting.
1 code implementation • CVPR 2018 • Hareesh Ravi, Lezi Wang, Carlos Muniz, Leonid Sigal, Dimitris Metaxas, Mubbasir Kapadia
We propose an end-to-end network for the visual illustration of a sequence of sentences forming a story.
1 code implementation • ICCV 2019 • Lezi Wang, Ziyan Wu, Srikrishna Karanam, Kuan-Chuan Peng, Rajat Vikram Singh, Bo Liu, Dimitris N. Metaxas
Recent developments in gradient-based attention modeling have seen attention maps emerge as a powerful tool for interpreting convolutional neural networks.
1 code implementation • 25 Jul 2019 • Ligong Han, Yang Zou, Ruijiang Gao, Lezi Wang, Dimitris Metaxas
Unsupervised domain adaptation (UDA) aims at inferring class labels for unlabeled target domain given a related labeled source dataset.
no code implementations • 19 Aug 2020 • Lezi Wang, Dong Liu, Rohit Puri, Dimitris N. Metaxas
A movie's key moments stand out of the screenplay to grab an audience's attention and make movie browsing efficient.
1 code implementation • ICCV 2023 • Julian Tanke, Linguang Zhang, Amy Zhao, Chengcheng Tang, Yujun Cai, Lezi Wang, Po-Chen Wu, Juergen Gall, Cem Keskin
We propose Social Diffusion, a novel method for short-term and long-term forecasting of the motion of multiple persons as well as their social interactions.
no code implementations • ECCV 2020 • Lezi Wang, Dong Liu, Rohit Puri, Dimitris N. Metaxas
We introduce a novel ranking network that utilizes the Co-Attention between movies and trailers as guidance to generate the training pairs, where the moments highly corrected with trailers are expected to be scored higher than the uncorrelated moments.