Zihao Zhang | DeepAI

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Featured Co-authors

Wei Xu
242 publications
Xin Zhang
158 publications
Han Zhang
115 publications
Yu Zhou
94 publications
Stephen Roberts
85 publications
Hai-Tao Zheng
50 publications
Ning Ding
41 publications
Stefan Zohren
32 publications
Ying Shen
32 publications
Yinghui Li
29 publications
Bryan Lim
24 publications

∙ 09/02/2023

AttT2M: Text-Driven Human Motion Generation with Multi-Perspective Attention Mechanism

Generating 3D human motion based on textual descriptions has been a rese...

0 Chongyang Zhong, et al. ∙

∙ 06/23/2023

GICI-LIB: A GNSS/INS/Camera Integrated Navigation Library

Accurate navigation is essential for autonomous robots and vehicles. In ...

0 Cheng Chi, et al. ∙

∙ 06/13/2023

Pose-aware Attention Network for Flexible Motion Retargeting by Body Part

Motion retargeting is a fundamental problem in computer graphics and com...

0 Lei Hu, et al. ∙

∙ 05/22/2023

Robots in the Garden: Artificial Intelligence and Adaptive Landscapes

This paper introduces ELUA, the Ecological Laboratory for Urban Agricult...

0 Zihao Zhang, et al. ∙

∙ 05/03/2023

Cultivated Wildness: Technodiversity and Wildness in Machines

This paper investigates the idea of cultivated wildness at the intersect...

0 Zihao Zhang, et al. ∙

∙ 05/03/2023

The Future of Artificial Intelligence (AI) and Machine Learning (ML) in Landscape Design: A Case Study in Coastal Virginia, USA

There have been theory-based endeavours that directly engage with AI and...

0 Zihao Zhang, et al. ∙

∙ 05/03/2023

Cybernetic Environment: A Historical Reflection on System, Design, and Machine Intelligence

Taking on a historical lens, this paper traces the development of cybern...

0 Zihao Zhang, et al. ∙

∙ 03/13/2022

PNM: Pixel Null Model for General Image Segmentation

A major challenge in image segmentation is classifying object boundaries...

0 Han Zhang, et al. ∙

∙ 03/03/2022

Spatial-Temporal Gating-Adjacency GCN for Human Motion Prediction

Predicting future motion based on historical motion sequence is a fundam...

0 Chongyang Zhong, et al. ∙

∙ 06/28/2021

Rail-5k: a Real-World Dataset for Rail Surface Defects Detection

This paper presents the Rail-5k dataset for benchmarking the performance...

3 Zihao Zhang, et al. ∙

∙ 05/21/2021

Multi-Horizon Forecasting for Limit Order Books: Novel Deep Learning Approaches and Hardware Acceleration using Intelligent Processing Units

We design multi-horizon forecasting models for limit order book (LOB) da...

0 Zihao Zhang, et al. ∙

∙ 02/17/2021

Deep Learning for Market by Order Data

Market by order (MBO) data - a detailed feed of individual trade instruc...

0 Zihao Zhang, et al. ∙

∙ 11/17/2020

Towards All-around Knowledge Transferring: Learning From Task-irrelevant Labels

Deep neural models have hitherto achieved significant performances on nu...

0 Yinghui Li, et al. ∙

∙ 05/27/2020

Deep Learning for Portfolio Optimisation

We adopt deep learning models to directly optimise the portfolio Sharpe ...

0 Zihao Zhang, et al. ∙

∙ 11/22/2019

Deep Reinforcement Learning for Trading

We adopt Deep Reinforcement Learning algorithms to design trading strate...

0 Zihao Zhang, et al. ∙

∙ 11/22/2017

Cascaded 3D Full-body Pose Regression from Single Depth Image at 100 FPS

There are increasingly real-time live applications in virtual reality, w...

0 Shihong Xia, et al. ∙

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