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08/18/2023
Unlimited Knowledge Distillation for Action Recognition in the Dark
Dark videos often lose essential information, which causes the knowledge...
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07/25/2023
A Snoring Sound Dataset for Body Position Recognition: Collection, Annotation, and Analysis
Obstructive Sleep Apnea-Hypopnea Syndrome (OSAHS) is a chronic breathing...
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04/26/2023
Composable Security of Distributed Symmetric Key Exchange Protocol
The Distributed Symmetric Key Exchange (DSKE) protocol provides secure s...
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03/27/2023
Improving the Transferability of Adversarial Examples via Direction Tuning
In the transfer-based adversarial attacks, adversarial examples are only...
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03/17/2023
Fuzziness-tuned: Improving the Transferability of Adversarial Examples
With the development of adversarial attacks, adversairal examples have b...
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08/05/2022
Hybrid Multimodal Feature Extraction, Mining and Fusion for Sentiment Analysis
In this paper, we present our solutions for the Multimodal Sentiment Ana...
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06/02/2022
FACM: Correct the Output of Deep Neural Network with Middle Layers Features against Adversarial Samples
In the strong adversarial attacks against deep neural network (DNN), the...
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06/02/2022
Mask-Guided Divergence Loss Improves the Generalization and Robustness of Deep Neural Network
Deep neural network (DNN) with dropout can be regarded as an ensemble mo...
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05/23/2022
OPQ: Compressing Deep Neural Networks with One-shot Pruning-Quantization
As Deep Neural Networks (DNNs) usually are overparameterized and have mi...
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05/19/2022
Enhancing the Transferability of Adversarial Examples via a Few Queries
Due to the vulnerability of deep neural networks, the black-box attack h...
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11/09/2021
On Representation Knowledge Distillation for Graph Neural Networks
Knowledge distillation is a promising learning paradigm for boosting the...
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09/27/2021
Multiscale coupling of surface temperature with solid diffusion in large lithium-ion pouch cells
Untangling the relationship between reactions, mass transfer, and temper...
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08/11/2021
Few-Shot Segmentation with Global and Local Contrastive Learning
In this work, we address the challenging task of few-shot segmentation. ...
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05/27/2021
PSRR-MaxpoolNMS: Pyramid Shifted MaxpoolNMS with Relationship Recovery
Non-maximum Suppression (NMS) is an essential postprocessing step in mod...
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02/06/2021
FFConv: Fast Factorized Neural Network Inference on Encrypted Data
Homomorphic Encryption (HE), allowing computations on encrypted data (ci...
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01/13/2021
A*HAR: A New Benchmark towards Semi-supervised learning for Class-imbalanced Human Activity Recognition
Despite the vast literature on Human Activity Recognition (HAR) with wea...
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01/08/2021
Privacy-Preserving Cloud-Aided Broad Learning System
With the rapid development of artificial intelligence and the advent of ...
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01/07/2021
Blockchain Aided Privacy-Preserving Outsourcing Algorithms of Bilinear Pairings for Internet of Things Devices
Bilinear pairing is a fundamental operation that is widely used in crypt...
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01/07/2021
Machine Learning on Cloud with Blockchain: A Secure, Verifiable and Fair Approach to Outsource the Linear Regression
Linear Regression (LR) is a classical machine learning algorithm which h...
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04/19/2020
Role-Wise Data Augmentation for Knowledge Distillation
Knowledge Distillation (KD) is a common method for transferring the “kno...
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09/17/2019
A*3D Dataset: Towards Autonomous Driving in Challenging Environments
With the increasing global popularity of self-driving cars, there is an ...
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08/05/2019
Quantum-enhanced least-square support vector machine: simplified quantum algorithm and sparse solutions
Quantum algorithms can enhance machine learning in different aspects. He...
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01/29/2019
CaRENets: Compact and Resource-Efficient CNN for Homomorphic Inference on Encrypted Medical Images
Convolutional neural networks (CNNs) have enabled significant performanc...
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01/04/2019
Dataflow-based Joint Quantization of Weights and Activations for Deep Neural Networks
This paper addresses a challenging problem - how to reduce energy consum...
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11/29/2018
TEA-DNN: the Quest for Time-Energy-Accuracy Co-optimized Deep Neural Networks
Embedded deep learning platforms have witnessed two simultaneous improve...
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11/02/2018
The AlexNet Moment for Homomorphic Encryption: HCNN, the First Homomorphic CNN on Encrypted Data with GPUs
Fully homomorphic encryption, with its widely-known feature of computing...
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11/06/2017
End-to-End Video Classification with Knowledge Graphs
Video understanding has attracted much research attention especially sin...
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07/18/2017
Pruning Convolutional Neural Networks for Image Instance Retrieval
In this work, we focus on the problem of image instance retrieval with d...
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06/17/2017
Truly Multi-modal YouTube-8M Video Classification with Video, Audio, and Text
The YouTube-8M video classification challenge requires teams to classify...
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05/26/2017
Deep Learning for Lung Cancer Detection: Tackling the Kaggle Data Science Bowl 2017 Challenge
We present a deep learning framework for computer-aided lung cancer diag...
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01/18/2017
Compression of Deep Neural Networks for Image Instance Retrieval
Image instance retrieval is the problem of retrieving images from a data...
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03/15/2016
Nested Invariance Pooling and RBM Hashing for Image Instance Retrieval
The goal of this work is the computation of very compact binary hashes f...
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01/25/2016
Egocentric Activity Recognition with Multimodal Fisher Vector
With the increasing availability of wearable devices, research on egocen...
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01/09/2016
Group Invariant Deep Representations for Image Instance Retrieval
Most image instance retrieval pipelines are based on comparison of vecto...
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11/10/2015
Tiny Descriptors for Image Retrieval with Unsupervised Triplet Hashing
A typical image retrieval pipeline starts with the comparison of global ...
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01/30/2015
Co-Regularized Deep Representations for Video Summarization
Compact keyframe-based video summaries are a popular way of generating v...
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01/20/2015