no code implementations • 8 Nov 2021 • Max Torop, Sandesh Ghimire, Wenqian Liu, Dana H. Brooks, Octavia Camps, Milind Rajadhyaksha, Jennifer Dy, Kivanc Kose
There are limited works showing the efficacy of unsupervised Out-of-Distribution (OOD) methods on complex medical data.
2 code implementations • CVPR 2020 • Wenqian Liu, Runze Li, Meng Zheng, Srikrishna Karanam, Ziyan Wu, Bir Bhanu, Richard J. Radke, Octavia Camps
We present methods to generate visual attention from the learned latent space, and also demonstrate such attention explanations serve more than just explaining VAE predictions.
no code implementations • ECCV 2018 • Wenqian Liu, Abhishek Sharma, Octavia Camps, Mario Sznaier
The ability to anticipate the future is essential when making real time critical decisions, provides valuable information to understand dynamic natural scenes, and can help unsupervised video representation learning.
no code implementations • 20 Sep 2017 • Wenqian Liu, Octavia Camps, Mario Sznaier
For multi-camera system tracking problem, efficient data association across cameras, and at the same time, across frames becomes more important than single-camera system tracking.