82 citations · 87 across the 5 of their papers we have counts for
5 papers
Sphere Retraction Normalizations
Jie Zhang, Cheng-Fang Su, Yi-Jui Huang +1
Residual connections are the de facto mechanism for training deep neural networks stably. Geodesic Normalization (GeoNorm) recasts them on a Riemannian manifold, orthogonalizing ea…
Benchmarking Badminton Action Recognition with a New Fine-Grained Dataset
Qi Li, Tzu-Chen Chiu, Hsiang-Wei Huang +2
In the dynamic and evolving field of computer vision, action recognition has become a key focus, especially with the advent of sophisticated methodologies like Convolutional Neural…
Multi-modal Transformer Path Prediction for Autonomous Vehicle
Chia Hong Tseng, Jie Zhang, Min-Te Sun +2
Reasoning about vehicle path prediction is an essential and challenging problem for the safe operation of autonomous driving systems. There exist many research works for path predi…
MGC: A Complex-Valued Graph Convolutional Network for Directed Graphs
Jie Zhang, Bo Hui, Po-Wei Harn +2
Recent advancements in Graph Neural Networks have led to state-of-the-art performance on graph representation learning. However, the majority of existing works process directed gra…
Ansor: Generating High-Performance Tensor Programs for Deep Learning
Lianmin Zheng, Chengfan Jia, Minmin Sun +9
High-performance tensor programs are crucial to guarantee efficient execution of deep neural networks. However, obtaining performant tensor programs for different operators on vari…