Articles with public access mandates - Ming-Yu LiuLearn more
Available somewhere: 15
Instance-aware, context-focused, and memory-efficient weakly supervised object detection
Z Ren, Z Yu, X Yang, MY Liu, YJ Lee, AG Schwing, J Kautz
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
Mandates: US National Science Foundation
Step: Spatio-temporal progressive learning for video action detection
X Yang, X Yang, MY Liu, F Xiao, LS Davis, J Kautz
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
Mandates: US Office of the Director of National Intelligence
Preserve your own correlation: A noise prior for video diffusion models
S Ge, S Nah, G Liu, T Poon, A Tao, B Catanzaro, D Jacobs, JB Huang, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
Mandates: US National Science Foundation
Localization-Aware Active Learning for Object Detection
CC Kao, TY Lee, P Sen, MY Liu
Asian Conference on Computer Vision, 2018
Mandates: US National Science Foundation
Learning Superpixels with Segmentation-Aware Affinity Loss
WC Tu, MY Liu, V Jampani, D Sun, SY Chien, MH Yang, J Kautz
Computer Vision and Pattern Recognition (CVPR) 2018, IEEE Conference on, 2018
Mandates: US National Science Foundation
Context-aware synthesis and placement of object instances
D Lee, S Liu, J Gu, MY Liu, MH Yang, J Kautz
Advances in neural information processing systems 31, 2018
Mandates: US National Science Foundation
COCO-FUNIT: Few-Shot Unsupervised Image Translation with a Content Conditioned Style Encoder
K Saito, K Saenko, MY Liu
arXiv preprint arXiv:2007.07431, 2020
Mandates: US National Science Foundation, US Department of Defense
Reblur2Deblur: Deblurring Videos via Self-Supervised Learning
H Chen, J Gu, O Gallo, MY Liu, A Veeraraghavan, J Kautz
International Conference on Computational Photography (ICCP), 2018
Mandates: US National Science Foundation
Generating long videos of dynamic scenes
T Brooks, J Hellsten, M Aittala, TC Wang, T Aila, J Lehtinen, MY Liu, ...
Advances in Neural Information Processing Systems 35, 31769-31781, 2022
Mandates: US National Science Foundation
UFO: A Unified Framework Towards Omni-supervised Object Detection
Z Ren, Z Yu, X Yang, MY Liu, AG Schwing, J Kautz
European conference on computer vision, 288-313, 2020
Mandates: US National Science Foundation
On the distance between two neural networks and the stability of learning
J Bernstein, A Vahdat, Y Yue, MY Liu
Advances in Neural Information Processing Systems 33, 21370-21381, 2020
Mandates: US National Aeronautics and Space Administration
Towards annotation-efficient segmentation via image-to-image translation
E Vorontsov, P Molchanov, M Gazda, C Beckham, J Kautz, S Kadoury
Medical Image Analysis 82, 102624, 2022
Mandates: Fonds de recherche du Québec - Santé, Natural Sciences and Engineering …
Learning compositional functions via multiplicative weight updates
J Bernstein, J Zhao, M Meister, MY Liu, A Anandkumar, Y Yue
Advances in neural information processing systems 33, 13319-13330, 2020
Mandates: US National Aeronautics and Space Administration
SymGAN: Orientation estimation without annotation for symmetric objects
P Ammirato, J Tremblay, MY Liu, A Berg, D Fox
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020
Mandates: US National Science Foundation
CosTaL: an accurate and scalable graph-based clustering algorithm for high-dimensional single-cell data analysis
Y Li, J Nguyen, DC Anastasiu, EA Arriaga
Briefings in Bioinformatics 24 (3), bbad157, 2023
Mandates: US National Science Foundation, US National Institutes of Health
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