From the 4 of 121 papers with an AI index.
80 citations
- National University of SingaporeSG12 papers
- Zhejiang UniversityCN6 papers
- Centre for Quantum TechnologiesSG5 papers
- Chinese Academy of SciencesCN5 papers
- Hewlett Packard Enterprise (United States)US5 papers
- Norwegian University of Science and TechnologyNO5 papers
- Shandong UniversityCN5 papers
- Singapore Management UniversitySG5 papers
- University of Electronic Science and Technology of ChinaCN5 papers
- Agency for Science, Technology and ResearchSG4 papers
- Beihang UniversityCN4 papers
- Hong Kong Polytechnic UniversityHK4 papers
20 papers · 1 filter
Sen-Cap: Sensor-Flexible and Noise-Resilient Human Motion Capture via LiDAR-Camera Integration
Aoru Xue, Yujing Sun, Yiming Ren +3
We propose Sen-Cap, a Sensor-Flexible and Noise-Resilient 3D human motion Capture framework that integrates multi-modal data from LiDAR and camera. While multi-modal sensors provid…
Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning
Hao Kong, Di Liu, Xiangzhong Luo +5
The paper introduces TECO, a framework that jointly prunes depth, width, and input resolution of convolutional neural networks to improve speed and resource usage on embedded devic…
FedTR: Federated Learning Framework with Transfer Learning for Industrial Visual Inspection
Vikash Sathiamoorthy, Shuo Huai, Hao Kong +7
Federated learning (FL) is a collaborative learning scheme to train deep learning models, where collaborating parties can consolidate their models without sharing local data with o…
CarbonCLIP: Enhance Carbon Prediction from Satellite Imagery via Integrated Street-View Semantics and Temporal Context Training
Zeru Yang, Fang-Ying Gong, Steve H. L. Yim +1
Accurately estimating urban carbon emissions is critical for sustainable urban planning, yet many existing approaches remain difficult to apply consistently across cities due to da…
EdgeCompress: Coupling Multidimensional Model Compression and Dynamic Inference for EdgeAI
Hao Kong, Di Liu, Shuo Huai +5
Convolutional neural networks (CNNs) have demonstrated encouraging results in image classification tasks. However, the prohibitive computational cost of CNNs hinders the deployment…
Smart Scissor: Coupling Spatial Redundancy Reduction and CNN Compression for Embedded Hardware
Hao Kong, Di Liu, Shuo Huai +5
Scaling down the resolution of input images can greatly reduce the computational overhead of convolutional neural networks (CNNs), which is promising for edge AI. However, as an im…