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09/15/2023
MLP Based Continuous Gait Recognition of a Powered Ankle Prosthesis with Serial Elastic Actuator
Powered ankle prostheses effectively assist people with lower limb amput...
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06/12/2023
Statistical Methods for Auditing the Quality of Manual Content Reviews
Large technology firms face the problem of moderating content on their o...
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06/02/2023
DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model
Observing the close relationship among panoptic, semantic and instance s...
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12/12/2022
Spatial-temporal traffic modeling with a fusion graph reconstructed by tensor decomposition
Accurate spatial-temporal traffic flow forecasting is essential for help...
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10/18/2022
MMGA: Multimodal Learning with Graph Alignment
Multimodal pre-training breaks down the modality barriers and allows the...
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07/20/2022
On Label Granularity and Object Localization
Weakly supervised object localization (WSOL) aims to learn representatio...
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04/21/2022
DropMessage: Unifying Random Dropping for Graph Neural Networks
Graph Neural Networks (GNNs) are powerful tools for graph representation...
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03/28/2022
Who is next: rising star prediction via diffusion of user interest in social networks
Finding items with potential to increase sales is of great importance in...
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05/12/2021
When Does Contrastive Visual Representation Learning Work?
Recent self-supervised representation learning techniques have largely c...
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05/10/2021
An Attention-Fused Network for Semantic Segmentation of Very-High-Resolution Remote Sensing Imagery
Semantic segmentation is an essential part of deep learning. In recent y...
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08/09/2019
A Fast and Precise Method for Large-Scale Land-Use Mapping Based on Deep Learning
The land-use map is an important data that can reflect the use and trans...
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09/10/2018
DNN Dataflow Choice Is Overrated
Many DNN accelerators have been proposed and built using different micro...
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12/12/2017
On the Energy-Efficient Deployment for Ultra-Dense Heterogeneous Networks with NLoS and LoS Transmissions
We investigate network performance of ultra-dense heterogeneous networks...
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06/24/2016
FPMax: a 106GFLOPS/W at 217GFLOPS/mm2 Single-Precision FPU, and a 43.7GFLOPS/W at 74.6GFLOPS/mm2 Double-Precision FPU, in 28nm UTBB FDSOI
FPMax implements four FPUs optimized for latency or throughput workloads...
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06/14/2016
