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08/28/2023
Rep2wav: Noise Robust text-to-speech Using self-supervised representations
Benefiting from the development of deep learning, text-to-speech (TTS) t...
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08/21/2023
Backdooring Textual Inversion for Concept Censorship
Recent years have witnessed success in AIGC (AI Generated Content). Peop...
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07/06/2023
That's BAD: Blind Anomaly Detection by Implicit Local Feature Clustering
Recent studies on visual anomaly detection (AD) of industrial objects/te...
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05/29/2023
Towards Efficient Deep Hashing Retrieval: Condensing Your Data via Feature-Embedding Matching
The expenses involved in training state-of-the-art deep hashing retrieva...
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05/21/2023
Semantic VAD: Low-Latency Voice Activity Detection for Speech Interaction
For speech interaction, voice activity detection (VAD) is often used as ...
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05/16/2023
Security Enhancement of Quantum Noise Stream Cipher Based on Probabilistic Constellation Shaping
We propose a QNSC pre-coding scheme based on probabilistic shaping of th...
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03/23/2023
LearnedFTL: A Learning-based Page-level FTL for Improving Random Reads in Flash-based SSDs
We present LearnedFTL, which applies learned indexes to on-demand page-l...
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01/20/2023
DiffusionCT: Latent Diffusion Model for CT Image Standardization
Computed tomography (CT) imaging is a widely used modality for early lun...
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11/29/2022
Ada3Diff: Defending against 3D Adversarial Point Clouds via Adaptive Diffusion
Deep 3D point cloud models are sensitive to adversarial attacks, which p...
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11/15/2022
FedTune: A Deep Dive into Efficient Federated Fine-Tuning with Pre-trained Transformers
Federated Learning (FL) is an emerging paradigm that enables distributed...
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11/30/2021
Deep Auto-encoder with Neural Response
Artificial intelligence and neuroscience are deeply interactive. Artific...
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11/04/2021
Parameterized Knowledge Transfer for Personalized Federated Learning
In recent years, personalized federated learning (pFL) has attracted inc...
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05/13/2021
HINet: Half Instance Normalization Network for Image Restoration
In this paper, we explore the role of Instance Normalization in low-leve...
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01/06/2021
TGCN: Time Domain Graph Convolutional Network for Multiple Objects Tracking
Multiple object tracking is to give each object an id in the video. The ...
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11/18/2020
Whale: A Unified Distributed Training Framework
Data parallelism (DP) has been a common practice to speed up the trainin...
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06/27/2020
Federated Mutual Learning
Federated learning enables collaboratively training machine learning mod...
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10/18/2019
