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09/21/2023
On-the-Fly SfM: What you capture is What you get
Over the last decades, ample achievements have been made on Structure fr...
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09/18/2023
Spoofing attack augmentation: can differently-trained attack models improve generalisation?
A reliable deepfake detector or spoofing countermeasure (CM) should be r...
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09/14/2023
DDSP-based Neural Waveform Synthesis of Polyphonic Guitar Performance from String-wise MIDI Input
We explore the use of neural synthesis for acoustic guitar from string-w...
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09/12/2023
SynVox2: Towards a privacy-friendly VoxCeleb2 dataset
The success of deep learning in speaker recognition relies heavily on th...
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09/12/2023
Can large-scale vocoded spoofed data improve speech spoofing countermeasure with a self-supervised front end?
A speech spoofing countermeasure (CM) that discriminates between unseen ...
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09/10/2023
Outlier Robust Adversarial Training
Supervised learning models are challenged by the intrinsic complexities ...
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09/09/2023
Benne: A Modular and Self-Optimizing Algorithm for Data Stream Clustering
In various real-world applications, ranging from the Internet of Things ...
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09/04/2023
DRAG: Divergence-based Adaptive Aggregation in Federated learning on Non-IID Data
Local stochastic gradient descent (SGD) is a fundamental approach in ach...
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08/31/2023
BenchTemp: A General Benchmark for Evaluating Temporal Graph Neural Networks
To handle graphs in which features or connectivities are evolving over t...
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08/28/2023
Large Graph Models: A Perspective
Large models have emerged as the most recent groundbreaking achievements...
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08/25/2023
Resolution-independent generative models based on operator learning for physics-constrained Bayesian inverse problems
The Bayesian inference approach is widely used to tackle inverse problem...
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08/20/2023
A Survey on Fairness in Large Language Models
Large language models (LLMs) have shown powerful performance and develop...
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08/14/2023
Data Generation-based Operator Learning for Solving Partial Differential Equations on Unbounded Domains
Wave propagation problems are typically formulated as partial differenti...
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08/03/2023
Unsupervised Multiplex Graph Learning with Complementary and Consistent Information
Unsupervised multiplex graph learning (UMGL) has been shown to achieve s...
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07/18/2023
SphereNet: Learning a Noise-Robust and General Descriptor for Point Cloud Registration
Point cloud registration is to estimate a transformation to align point ...
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07/11/2023
Mixed-Precision Quantization with Cross-Layer Dependencies
Quantization is commonly used to compress and accelerate deep neural net...
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07/06/2023
DisAsymNet: Disentanglement of Asymmetrical Abnormality on Bilateral Mammograms using Self-adversarial Learning
Asymmetry is a crucial characteristic of bilateral mammograms (Bi-MG) wh...
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07/04/2023
SageFormer: Series-Aware Graph-Enhanced Transformers for Multivariate Time Series Forecasting
Multivariate time series forecasting plays a critical role in diverse do...
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07/04/2023
Bridge the Performance Gap in Peak-hour Series Forecasting: The Seq2Peak Framework
Peak-Hour Series Forecasting (PHSF) is a crucial yet underexplored task ...
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07/04/2023
Prompt Tuning Pushes Farther, Contrastive Learning Pulls Closer: A Two-Stage Approach to Mitigate Social Biases
As the representation capability of Pre-trained Language Models (PLMs) i...
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07/03/2023
Over-The-Air Federated Learning: Status Quo, Open Challenges, and Future Directions
The development of applications based on artificial intelligence and imp...
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07/03/2023
Synthesis of Contrast-Enhanced Breast MRI Using Multi-b-Value DWI-based Hierarchical Fusion Network with Attention Mechanism
Magnetic resonance imaging (MRI) is the most sensitive technique for bre...
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07/03/2023
An Explainable Deep Framework: Towards Task-Specific Fusion for Multi-to-One MRI Synthesis
Multi-sequence MRI is valuable in clinical settings for reliable diagnos...
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06/16/2023
Efficient Search and Detection of Relevant Plant Parts using Semantics-Aware Active Vision
To automate harvesting and de-leafing of tomato plants using robots, it ...
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06/16/2023
Efficient Coflow Scheduling in Hybrid-Switched Data Center Networks
To improve the application-level communication performance, scheduling o...
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05/30/2023
Towards single integrated spoofing-aware speaker verification embeddings
This study aims to develop a single integrated spoofing-aware speaker ve...
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05/30/2023
Language-independent speaker anonymization using orthogonal Householder neural network
Speaker anonymization aims to conceal a speaker's identity while preserv...
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05/29/2023
Controllable Text-to-Image Generation with GPT-4
Current text-to-image generation models often struggle to follow textual...
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05/28/2023
Range-Based Equal Error Rate for Spoof Localization
Spoof localization, also called segment-level detection, is a crucial ta...
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05/26/2023
Integrating Listwise Ranking into Pairwise-based Image-Text Retrieval
Image-Text Retrieval (ITR) is essentially a ranking problem. Given a que...
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05/24/2023
WeiAvg: Federated Learning Model Aggregation Promoting Data Diversity
Federated learning provides a promising privacy-preserving way for utili...
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05/24/2023
Refocusing Is Key to Transfer Learning
Transfer learning involves adapting a pre-trained model to novel downstr...
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05/24/2023
Gorilla: Large Language Model Connected with Massive APIs
Large Language Models (LLMs) have seen an impressive wave of advances re...
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05/06/2023
Efficient information recovery from Pauli noise via classical shadow
The rapid advancement of quantum computing has led to an extensive deman...
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05/05/2023
DisenBooth: Disentangled Parameter-Efficient Tuning for Subject-Driven Text-to-Image Generation
Given a small set of images of a specific subject, subject-driven text-t...
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05/05/2023
Clothes Grasping and Unfolding Based on RGB-D Semantic Segmentation
Clothes grasping and unfolding is a core step in robotic-assisted dressi...
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05/03/2023
DELTA: Direct Embedding Enhancement and Leverage Truncated Conscious Attention for Recommendation System
Click-Through Rate (CTR) prediction is the most critical task in product...
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04/29/2023
An Implicit Alignment for Video Super-Resolution
Video super-resolution commonly uses a frame-wise alignment to support t...
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04/27/2023
JaxPruner: A concise library for sparsity research
This paper introduces JaxPruner, an open-source JAX-based pruning and sp...
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04/23/2023
LayerNAS: Neural Architecture Search in Polynomial Complexity
Neural Architecture Search (NAS) has become a popular method for discove...
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04/16/2023
Arbitrary Reduction of MRI Inter-slice Spacing Using Hierarchical Feature Conditional Diffusion
Magnetic resonance (MR) images collected in 2D scanning protocols typica...
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04/16/2023
USNID: A Framework for Unsupervised and Semi-supervised New Intent Discovery
New intent discovery is of great value to natural language processing, a...
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04/09/2023
Adversarially Robust Neural Architecture Search for Graph Neural Networks
Graph Neural Networks (GNNs) obtain tremendous success in modeling relat...
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03/31/2023
CIMI4D: A Large Multimodal Climbing Motion Dataset under Human-scene Interactions
Motion capture is a long-standing research problem. Although it has been...
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03/29/2023
Domain Adaptive Semantic Segmentation by Optimal Transport
Scene segmentation is widely used in the field of autonomous driving for...
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03/23/2023
Top-Down Visual Attention from Analysis by Synthesis
Current attention algorithms (e.g., self-attention) are stimulus-driven ...
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03/13/2023
A Survey of Graph Prompting Methods: Techniques, Applications, and Challenges
While deep learning has achieved great success on various tasks, the tas...
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03/13/2023
Estimate distillable entanglement and quantum capacity by squeezing useless entanglement
Entanglement distillation is crucial in quantum information processing. ...
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03/01/2023
Selectively Hard Negative Mining for Alleviating Gradient Vanishing in Image-Text Matching
Recently, a series of Image-Text Matching (ITM) methods achieve impressi...
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02/07/2023