Liu, Ming-Yu
8 papers on CoChatORCID 0000-0002-2239-8975
Most cited papers
- Verified
Semantic Image Synthesis With Spatially-Adaptive Normalization
Park, T., Liu, M.-Y., Wang, T.-C., & Zhu, J.-Y. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Generative Adversarial Networks and Image SynthesisAdvanced Neural Network Applications
Cited by 2,974
- Verified
MoCoGAN: Decomposing Motion and Content for Video Generation
Tulyakov, S., Liu, M.-Y., Yang, X., & Kautz, J. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
Generative Adversarial Networks and Image SynthesisAdvanced Image Processing Techniques
Cited by 1,076
- Verified
Video-to-Video Synthesis
Wang, T.-C., Liu, M.-Y., Zhu, J.-Y., Liu, G., Tao, A., Kautz, J., & Catanzaro, B. (2018) · arXiv
Generative Adversarial Networks and Image SynthesisAdvanced Image Processing Techniques
Cited by 594
- Verified
Gaussian Conditional Random Field Network for Semantic Segmentation
Vemulapalli, R., Tuzel, O., Liu, M.-Y., & Chellappa, R. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Advanced Neural Network ApplicationsMedical Image Segmentation Techniques
Cited by 150
- Verified
Localization-Aware Active Learning for Object Detection
Kao, C.-C., Lee, T.-Y., Sen, P., & Liu, M.-Y. (2019) · Lecture Notes in Computer Science
Machine Learning and AlgorithmsAdvanced Neural Network Applications
Cited by 118
- Verified
Multimodal Conditional Image Synthesis with Product-of-Experts GANs
Huang, X., Mallya, A., Wang, T.-C., & Liu, M.-Y. (2022) · Lecture Notes in Computer Science
Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications
Cited by 73
- Verified
Meta-Sim: Learning to Generate Synthetic Datasets
Kar, A., Prakash, A., Liu, M.-Y., Cameracci, E., Yuan, J., Rusiniak, M., Acuna, D., Torralba, A., & Fidler, S. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)
Generative Adversarial Networks and Image SynthesisComputer Graphics and Visualization Techniques
Cited by 21
- Verified
World Simulation with Video Foundation Models for Physical AI
NVIDIA, :, Ali, A., Bai, J., Bala, M., Balaji, Y., Blakeman, A., Cai, T., Cao, J., Cao, T., et al. (2025) · arXiv
Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications
Cited by 1
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