2021
End-to-end Multi-modal Video Temporal Grounding.
Yi-Wen Chen, Yi-Hsuan Tsai, and Ming-Hsuan Yang
Advances in Neural Information Processing Systems (NeurIPS), 2021
Learning 3D Dense Correspondence via Canonical Point Autoencoder.
An-Chieh Cheng, Xueting Li, Min Sun, Ming-Hsuan Yang, and Sifei Liu
Advances in Neural Information Processing Systems (NeurIPS), 2021
Exploring Cross-Video and Cross-Modality Signals for Weakly-Supervised Audio-Visual Video Parsing.
Yan-Bo Lin, Hung-Yu Tseng, Hsin-Ying Lee, Yen-Yu Lin, and Ming-Hsuan Yang
Advances in Neural Information Processing Systems (NeurIPS), 2021
Intriguing Properties of Vision Transformers.
Muzammal Naseer, Kanchana Ranasinghe, Salman Khan, Munawar Hayat, Fahad Khan, and Ming-Hsuan Yang
Advances in Neural Information Processing Systems (NeurIPS), 2021
Exploiting Scene Depth for Object Detection with Multimodal Transformers.
Hwanjun Song, Varun Jampani, Deqing Sun, Jae-Gil Lee, and Ming-Hsuan Yang
British Conference on Machine Vision (BMVC), 2021
Learning to Stylize Novel Views
Hsin-Ping Huang, Hung-Yu Tseng, Saurabh Saini, Maneesh Singh, and Ming-Hsuan Yang
IEEE International Conference on Computer Vision (ICCV), 2021
Project website
Discovering 3D Parts from Image Collections
Chun-Han Yao, Wei-Chih Hung, Varun Jampani, and Ming-Hsuan Yang
IEEE International Conference on Computer Vision (ICCV), 2021
Project website
Video Matting via Consistency-Regularized Graph Neural Networks
Tiantian Wang, Sifei Liu, Yapeng Tian, Kai Li, and Ming-Hsuan Yang
IEEE International Conference on Computer Vision (ICCV), 2021
D2-Net: Weakly-Supervised Action Localization via Discriminative Embeddings and Denoised Activations.
Sanath Naryan, Hisham Cholakkal, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, and Ling Shao
IEEE Conference on Computer Vision and Pattern Recognition (ICCV), 2021
Benchmarking Ultra-High-Definition Image Super-Resolution.
Kaihao Zhang, Dongxu Li, Wenhan Luo, Wenqi Ren, Bjorn Stenger, Wei Liu, Hongdong Li, and Ming-Hsuan Yang
IEEE Conference on Computer Vision and Pattern Recognition (ICCV), 2021
Hybrid Neural Fusion for Full-frame Video Stabilization.
Yu-Lun Liu, Wei-Sheng Lai, Ming-Hsuan Yang, Yung-Yu Chuang, and Jia-Bin Huang
IEEE Conference on Computer Vision and Pattern Recognition (ICCV), 2021
Know What and Know Where: An Object-and-Room Informed Sequential BERT for Indoor Vision-Language Navigation.
Yuankai Qi, Zizheng Pan, Yicong Hong, Ming-Hsuan Yang, Anton van den Hengel, Qi Wu
IEEE Conference on Computer Vision and Pattern Recognition (ICCV), 2021
COMISR: Compression Informed Video Super Resolution..
Yinxiao Li, Penchong Jin, Feng Yang, Ce Liu, Ming-Hsuan Yang, and Peyman Milanfar
IEEE Conference on Computer Vision and Pattern Recognition (ICCV), 2021
Regularizing Generative Adversarial Networks under Limited Data.
Hung-Yu Tseng, Lu Jiang, Ce Liu, Ming-Hsuan Yang, and Weilong Yang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
Project website
Multi-Stage Progressive Image Restoration.
Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, and Ling Shao
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
Spatiotemporal Contrastive Video Representation Learning.
Rui Qian, Tianjian Meng, Boqing Gong, Ming-Hsuan Yang, Huisheng Wang, Serge Bolongie, and Yin Cui
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
Decoupled Dynamic Filter Networks.
Jingkai Zhou, Varun Jampani, Zhixiong Pi, Qiong Liu, and Ming-Hsuan Yang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
ReMix: Towards Image-to-Image Translation with Limited Data.
Jie Cao, Luanxuan Hou, Ming-Hsuan Yang, Ran He, and Zhenan Sun
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
Structured Sparsification with Joint Optimization of Group Convolution and Channel Shuffle.
Xin-Yu Zhang, Kai Zhao, Taihong Xiao, Ming-Ming-Cheng, and Ming-Hsuan Yang
UAI Conference on Uncertainity in Artificial Intelligence and Statistics (UAI), 2021
Semi-Supervised Learning with Meta-Gradient.
Xin-Yu Zhang, Taihong Xiao, Haolin Jia, Ming-Ming-Cheng, and Ming-Hsuan Yang
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021