Constructing Orthogonal Convolutions in an Explicit Manner.
Proceedings of the Tenth International Conference on Learning Representations, 2022
A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Model.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Action Shuffle Alternating Learning for Unsupervised Action Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Anchor-Constrained Viterbi for Set-Supervised Action Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Efficient Riemannian Optimization on the Stiefel Manifold via the Cayley Transform.
Proceedings of the 8th International Conference on Learning Representations, 2020
Set-Constrained Viterbi for Set-Supervised Action Segmentation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Dense Transformer Networks for Brain Electron Microscopy Image Segmentation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Weakly Supervised Energy-Based Learning for Action Segmentation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
Dense Transformer Networks.
CoRR, 2017