activity
20172022
most citedApplying Deep Bidirectional LSTM and Mixture Density Network for Basketball Trajectory Prediction

79 citations · 107 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2022

Improving Human-Object Interaction Detection via Phrase Learning and Label Composition

Zhimin Li, Cheng Zou, Yu Zhao +2

Human-Object Interaction (HOI) detection is a fundamental task in high-level human-centric scene understanding. We propose PhraseHOI, containing a HOI branch and a novel phrase bra…

eess.IV2021★ 1 cited

MSHT: Multi-stage Hybrid Transformer for the ROSE Image Analysis of Pancreatic Cancer

Tianyi Zhang, Yunlu Feng, Yu Zhao +9

Pancreatic cancer is one of the most malignant cancers in the world, which deteriorates rapidly with very high mortality. The rapid on-site evaluation (ROSE) technique innovates th…

cs.AI2021★ 4 cited

GlyphCRM: Bidirectional Encoder Representation for Chinese Character with its Glyph

Yunxin Li, Yu Zhao, Baotian Hu +5

Previous works indicate that the glyph of Chinese characters contains rich semantic information and has the potential to enhance the representation of Chinese characters. The typic…

cs.CV2020

Differentiable Channel Sparsity Search via Weight Sharing within Filters

Yu Zhao, Chung-Kuei Lee

In this paper, we propose the differentiable channel sparsity search (DCSS) for convolutional neural networks. Unlike traditional channel pruning algorithms which require users to…

cs.CV2017★ 23 cited

Deep Residual Bidir-LSTM for Human Activity Recognition Using Wearable Sensors

Yu Zhao, Rennong Yang, Guillaume Chevalier +1

Human activity recognition (HAR) has become a popular topic in research because of its wide application. With the development of deep learning, new ideas have appeared to address H…

cs.AI2017★ 79 cited

Applying Deep Bidirectional LSTM and Mixture Density Network for Basketball Trajectory Prediction

Yu Zhao, Rennong Yang, Guillaume Chevalier +2

Data analytics helps basketball teams to create tactics. However, manual data collection and analytics are costly and ineffective. Therefore, we applied a deep bidirectional long s…