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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...
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06/23/2023
GICI-LIB: A GNSS/INS/Camera Integrated Navigation Library
Accurate navigation is essential for autonomous robots and vehicles. In ...
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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...
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05/22/2023
Robots in the Garden: Artificial Intelligence and Adaptive Landscapes
This paper introduces ELUA, the Ecological Laboratory for Urban Agricult...
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05/03/2023
Cultivated Wildness: Technodiversity and Wildness in Machines
This paper investigates the idea of cultivated wildness at the intersect...
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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...
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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...
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03/13/2022
PNM: Pixel Null Model for General Image Segmentation
A major challenge in image segmentation is classifying object boundaries...
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03/03/2022
Spatial-Temporal Gating-Adjacency GCN for Human Motion Prediction
Predicting future motion based on historical motion sequence is a fundam...
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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...
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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...
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02/17/2021
Deep Learning for Market by Order Data
Market by order (MBO) data - a detailed feed of individual trade instruc...
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11/17/2020
Towards All-around Knowledge Transferring: Learning From Task-irrelevant Labels
Deep neural models have hitherto achieved significant performances on nu...
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05/27/2020
Deep Learning for Portfolio Optimisation
We adopt deep learning models to directly optimise the portfolio Sharpe ...
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11/22/2019
Deep Reinforcement Learning for Trading
We adopt Deep Reinforcement Learning algorithms to design trading strate...
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11/22/2017
