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Ming-Hsuan Yang

Neural Re-rendering for Full-frame Video Stabilization


Feb 12, 2021
Yu-Lun Liu, Wei-Sheng Lai, Ming-Hsuan Yang, Yung-Yu Chuang, Jia-Bin Huang

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* Project page: https://alex04072000.github.io/NeRViS/ 
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Multi-Stage Progressive Image Restoration


Feb 04, 2021
Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao

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Exploiting Raw Images for Real-Scene Super-Resolution


Feb 02, 2021
Xiangyu Xu, Yongrui Ma, Wenxiu Sun, Ming-Hsuan Yang

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* IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 
 * A larger version with higher-resolution figures is available at: https://sites.google.com/view/xiangyuxu. arXiv admin note: text overlap with arXiv:1905.12156 
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Learning Spatial and Spatio-Temporal Pixel Aggregations for Image and Video Denoising


Jan 26, 2021
Xiangyu Xu, Muchen Li, Wenxiu Sun, Ming-Hsuan Yang

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* IEEE Transactions on Image Processing 29 (2020): 7153-7165 
 * Project page: https://sites.google.com/view/xiangyuxu/denoise_stpan. arXiv admin note: substantial text overlap with arXiv:1904.06903 
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GAN Inversion: A Survey


Jan 14, 2021
Weihao Xia, Yulun Zhang, Yujiu Yang, Jing-Hao Xue, Bolei Zhou, Ming-Hsuan Yang

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* papers on generative modeling: https://github.com/zhoubolei/awesome-generative-modeling awesome gan-inversion papers: https://github.com/weihaox/awesome-image-translation/blob/master/awesome-gan-inversion.md 
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Low Light Image Enhancement via Global and Local Context Modeling


Jan 04, 2021
Aditya Arora, Muhammad Haris, Syed Waqas Zamir, Munawar Hayat, Fahad Shahbaz Khan, Ling Shao, Ming-Hsuan Yang

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D2-Net: Weakly-Supervised Action Localization via Discriminative Embeddings and Denoised Activations


Dec 11, 2020
Sanath Narayan, Hisham Cholakkal, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao

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Online Adaptation for Consistent Mesh Reconstruction in the Wild


Dec 06, 2020
Xueting Li, Sifei Liu, Shalini De Mello, Kihwan Kim, Xiaolong Wang, Ming-Hsuan Yang, Jan Kautz

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* NeurIPS 2020, https://sites.google.com/nvidia.com/vmr-2020 
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Unsupervised Discovery of Disentangled Manifolds in GANs


Nov 29, 2020
Yu-Ding Lu, Hsin-Ying Lee, Hung-Yu Tseng, Ming-Hsuan Yang

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Shaping Deep Feature Space towards Gaussian Mixture for Visual Classification


Nov 18, 2020
Weitao Wan, Jiansheng Chen, Cheng Yu, Tong Wu, Yuanyi Zhong, Ming-Hsuan Yang

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* Under review of TPAMI 
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Continuous and Diverse Image-to-Image Translation via Signed Attribute Vectors


Nov 03, 2020
Qi Mao, Hsin-Ying Lee, Hung-Yu Tseng, Jia-Bin Huang, Siwei Ma, Ming-Hsuan Yang

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* Website: https://helenmao.github.io/SAVI2I/ Code: https://github.com/HelenMao/SAVI2I 
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Unsupervised Domain Adaptation for Spatio-Temporal Action Localization


Oct 19, 2020
Nakul Agarwal, Yi-Ting Chen, Behzad Dariush, Ming-Hsuan Yang

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* Accepted in BMVC 2020 
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Multi-path Neural Networks for On-device Multi-domain Visual Classification


Oct 10, 2020
Qifei Wang, Junjie Ke, Joshua Greaves, Grace Chu, Gabriel Bender, Luciano Sbaiz, Alec Go, Andrew Howard, Feng Yang, Ming-Hsuan Yang, Jeff Gilbert, Peyman Milanfar

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* conference 
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Every Pixel Matters: Center-aware Feature Alignment for Domain Adaptive Object Detector


Aug 19, 2020
Cheng-Chun Hsu, Yi-Hsuan Tsai, Yen-Yu Lin, Ming-Hsuan Yang

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* Accepted in ECCV'20. Project page: https://chengchunhsu.github.io/EveryPixelMatters/ 
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SoDA: Multi-Object Tracking with Soft Data Association


Aug 19, 2020
Wei-Chih Hung, Henrik Kretzschmar, Tsung-Yi Lin, Yuning Chai, Ruichi Yu, Ming-Hsuan Yang, Dragomir Anguelov

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Learning to Caricature via Semantic Shape Transform


Aug 13, 2020
Wenqing Chu, Wei-Chih Hung, Yi-Hsuan Tsai, Yu-Ting Chang, Yijun Li, Deng Cai, Ming-Hsuan Yang

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* Submitted to IJCV, code and model are available at https://github.com/wenqingchu/Semantic-CariGANs/ 
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Learning to See Through Obstructions with Layered Decomposition


Aug 11, 2020
Yu-Lun Liu, Wei-Sheng Lai, Ming-Hsuan Yang, Yung-Yu Chuang, Jia-Bin Huang

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* Project page: https://alex04072000.github.io/SOLD/ Code: https://github.com/alex04072000/SOLD Extension of the CVPR 2020 paper: arXiv:2004.01180 
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Spatiotemporal Contrastive Video Representation Learning


Aug 09, 2020
Rui Qian, Tianjian Meng, Boqing Gong, Ming-Hsuan Yang, Huisheng Wang, Serge Belongie, Yin Cui

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Mixup-CAM: Weakly-supervised Semantic Segmentation via Uncertainty Regularization


Aug 03, 2020
Yu-Ting Chang, Qiaosong Wang, Wei-Chih Hung, Robinson Piramuthu, Yi-Hsuan Tsai, Ming-Hsuan Yang

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* Accepted at BMVC 2020 
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Weakly-Supervised Semantic Segmentation via Sub-category Exploration


Aug 03, 2020
Yu-Ting Chang, Qiaosong Wang, Wei-Chih Hung, Robinson Piramuthu, Yi-Hsuan Tsai, Ming-Hsuan Yang

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* Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2020 
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Learnable Cost Volume Using the Cayley Representation


Jul 21, 2020
Taihong Xiao, Jinwei Yuan, Deqing Sun, Qifei Wang, Xin-Yu Zhang, Kehan Xu, Ming-Hsuan Yang

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* ECCV 2020 
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Controllable Image Synthesis via SegVAE


Jul 17, 2020
Yen-Chi Cheng, Hsin-Ying Lee, Min Sun, Ming-Hsuan Yang

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* ECCV 2020. Project page: https://yccyenchicheng.github.io/SegVAE/ Code: https://github.com/yccyenchicheng/SegVAE 
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RetrieveGAN: Image Synthesis via Differentiable Patch Retrieval


Jul 16, 2020
Hung-Yu Tseng, Hsin-Ying Lee, Lu Jiang, Ming-Hsuan Yang, Weilong Yang

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* ECCV 2020 
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Modeling Artistic Workflows for Image Generation and Editing


Jul 14, 2020
Hung-Yu Tseng, Matthew Fisher, Jingwan Lu, Yijun Li, Vladimir Kim, Ming-Hsuan Yang

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* ECCV 2020. Code: https://github.com/hytseng0509/ArtEditing 
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Semi-Supervised Learning with Meta-Gradient


Jul 08, 2020
Xin-Yu Zhang, Hao-Lin Jia, Taihong Xiao, Ming-Ming Cheng, Ming-Hsuan Yang

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* 17 pages 
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Ventral-Dorsal Neural Networks: Object Detection via Selective Attention


May 15, 2020
Mohammad K. Ebrahimpour, Jiayun Li, Yen-Yun Yu, Jackson L. Reese, Azadeh Moghtaderi, Ming-Hsuan Yang, David C. Noelle

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* in Proceedings of WACV. arXiv admin note: substantial text overlap with arXiv:2005.07787 
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WW-Nets: Dual Neural Networks for Object Detection


May 15, 2020
Mohammad K. Ebrahimpour, J. Ben Falandays, Samuel Spevack, Ming-Hsuan Yang, David C. Noelle

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* 8 pages, 3 figures 
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