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04/12/2023
Zero-Knowledge Proof-based Practical Federated Learning on Blockchain
Since the concern of privacy leakage extremely discourages user particip...
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03/22/2023
EBSR: Enhanced Binary Neural Network for Image Super-Resolution
While the performance of deep convolutional neural networks for image su...
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01/14/2023
S^2Net: Accurate Panorama Depth Estimation on Spherical Surface
Monocular depth estimation is an ambiguous problem, thus global structur...
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12/20/2022
Conditioned Generative Transformers for Histopathology Image Synthetic Augmentation
Deep learning networks have demonstrated state-of-the-art performance on...
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11/18/2021
PyTorchVideo: A Deep Learning Library for Video Understanding
We introduce PyTorchVideo, an open-source deep-learning library that pro...
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11/01/2021
HRViT: Multi-Scale High-Resolution Vision Transformer
Vision transformers (ViTs) have attracted much attention for their super...
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10/27/2021
LSTM-RPA: A Simple but Effective Long Sequence Prediction Algorithm for Music Popularity Prediction
The big data about music history contains information about time and use...
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04/26/2021
Improve Vision Transformers Training by Suppressing Over-smoothing
Introducing the transformer structure into computer vision tasks holds t...
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03/02/2021
Long-Running Speech Recognizer:An End-to-End Multi-Task Learning Framework for Online ASR and VAD
When we use End-to-end automatic speech recognition (E2E-ASR) system for...
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06/02/2020
Non-asymptotic Analysis in Kernel Ridge Regression
We develop a general non-asymptotic analysis of learning rates in kernel...
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03/20/2020
Three-branch and Mutil-scale learning for Fine-grained Image Recognition (TBMSL-Net)
ImageNet Large Scale Visual Recognition Challenge (ILSVRC) is one of the...
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02/13/2020
Multi-Vehicle Routing Problems with Soft Time Windows: A Multi-Agent Reinforcement Learning Approach
Multi-vehicle routing problem with soft time windows (MVRPSTW) is an ind...
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02/09/2020
On Function-on-Scalar Quantile Regression
Existing work on functional response regression has focused predominantl...
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12/11/2019
CARP: Compression through Adaptive Recursive Partitioning for Multi-dimensional Images
Fast and effective image compression for multi-dimensional images has be...
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06/02/2018
