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04/08/2023
PVD-AL: Progressive Volume Distillation with Active Learning for Efficient Conversion Between Different NeRF Architectures
Neural Radiance Fields (NeRF) have been widely adopted as practical and ...
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02/28/2023
Video Pose Track with Graph-Guided Sparse Motion Estimation
In this paper, we propose a novel framework for multi-person pose estima...
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09/03/2022
Towards Accurate Binary Neural Networks via Modeling Contextual Dependencies
Existing Binary Neural Networks (BNNs) mainly operate on local convoluti...
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12/08/2021
A Hierarchical Spatio-Temporal Graph Convolutional Neural Network for Anomaly Detection in Videos
Deep learning models have been widely used for anomaly detection in surv...
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05/15/2020
HNAS: Hierarchical Neural Architecture Search on Mobile Devices
Neural Architecture Search (NAS) has attracted growing interest. To redu...
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05/12/2020
Adaptive Mixture Regression Network with Local Counting Map for Crowd Counting
The crowd counting task aims at estimating the number of people located ...
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11/25/2019
GBCNs: Genetic Binary Convolutional Networks for Enhancing the Performance of 1-bit DCNNs
Training 1-bit deep convolutional neural networks (DCNNs) is one of the ...
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10/24/2019
Aggregation Signature for Small Object Tracking
Small object tracking becomes an increasingly important task, which howe...
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10/24/2019
Circulant Binary Convolutional Networks: Enhancing the Performance of 1-bit DCNNs with Circulant Back Propagation
The rapidly decreasing computation and memory cost has recently driven t...
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08/21/2019
RBCN: Rectified Binary Convolutional Networks for Enhancing the Performance of 1-bit DCNNs
Binarized convolutional neural networks (BCNNs) are widely used to impro...
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05/21/2018