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08/31/2023
Optical flow-based vascular respiratory motion compensation
This paper develops a new vascular respiratory motion compensation algor...
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08/30/2023
READ: Reliability-Enhanced Accelerator Dataflow Optimization using Critical Input Pattern Reduction
With the rapid advancements of deep learning in recent years, hardware a...
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08/26/2023
Estimation and Hypothesis Testing of Derivatives in Smoothing Spline ANOVA Models
This article studies the derivatives in models that flexibly characteriz...
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08/26/2023
Memory-aware Scheduling for Complex Wired Networks with Iterative Graph Optimization
Memory-aware network scheduling is becoming increasingly important for d...
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08/25/2023
Falcon: Accelerating Homomorphically Encrypted Convolutions for Efficient Private Mobile Network Inference
Efficient networks, e.g., MobileNetV2, EfficientNet, etc, achieves state...
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07/10/2023
Stroke Extraction of Chinese Character Based on Deep Structure Deformable Image Registration
Stroke extraction of Chinese characters plays an important role in the f...
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06/08/2023
Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts
Weight-sharing supernet has become a vital component for performance est...
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05/25/2023
Frame-Event Alignment and Fusion Network for High Frame Rate Tracking
Most existing RGB-based trackers target low frame rate benchmarks of aro...
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05/19/2023
ALT: An Automatic System for Long Tail Scenario Modeling
In this paper, we consider the problem of long tail scenario modeling wi...
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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
End to End Generative Meta Curriculum Learning For Medical Data Augmentation
Current medical image synthetic augmentation techniques rely on intensiv...
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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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12/12/2022
PathFusion: Path-consistent Lidar-Camera Deep Feature Fusion
Fusing camera with LiDAR is a promising technique to improve the accurac...
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11/25/2022
MPCViT: Searching for MPC-friendly Vision Transformer with Heterogeneous Attention
Secure multi-party computation (MPC) enables computation directly on enc...
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10/29/2022
The solution set of fuzzy relation equations with addition-min composition
This paper deals with the resolutions of fuzzy relation equations with a...
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10/20/2022
Optimal plug-in Gaussian processes for modelling derivatives
Derivatives are a key nonparametric functional in wide-ranging applicati...
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09/17/2022
Bayesian Image-on-Scalar Regression with a Spatial Global-Local Spike-and-Slab Prior
In this article, we propose a novel spatial global-local spike-and-slab ...
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07/30/2022
Few-Shot Class-Incremental Learning from an Open-Set Perspective
The continual appearance of new objects in the visual world poses consid...
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07/28/2022
Content-oriented learned image compression
In recent years, with the development of deep neural networks, end-to-en...
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06/02/2022
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks
Efficient deep neural network (DNN) models equipped with compact operato...
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05/25/2022
BiT: Robustly Binarized Multi-distilled Transformer
Modern pre-trained transformers have rapidly advanced the state-of-the-a...
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04/10/2022
SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems
We design deep neural networks (DNNs) and corresponding networks' splitt...
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01/19/2022
MHTTS: Fast multi-head text-to-speech for spontaneous speech with imperfect transcription
Neural network based end-to-end Text-to-Speech (TTS) has greatly improve...
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11/21/2021
Distributed Unsupervised Visual Representation Learning with Fused Features
Federated learning (FL) enables distributed clients to learn a shared mo...
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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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11/02/2021
Low-Rank+Sparse Tensor Compression for Neural Networks
Low-rank tensor compression has been proposed as a promising approach to...
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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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10/19/2021
Operator-induced structural variable selection for identifying materials genes
In the emerging field of materials informatics, a fundamental task is to...
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10/15/2021
Omni-sparsity DNN: Fast Sparsity Optimization for On-Device Streaming E2E ASR via Supernet
From wearables to powerful smart devices, modern automatic speech recogn...
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07/09/2021
Noisy Training Improves E2E ASR for the Edge
Automatic speech recognition (ASR) has become increasingly ubiquitous on...
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06/13/2021
Hash Adaptive Bloom Filter
Bloom filter is a compact memory-efficient probabilistic data structure ...
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05/11/2021
Gaussian graphical models with graph constraints for magnetic moment interaction in high entropy alloys
This article is motivated by studying the interaction of magnetic moment...
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05/04/2021
Unconditional energy dissipation and error estimates of the SAV Fourier spectral method for nonlinear fractional generalized wave equation
In this paper, we consider a second-order scalar auxiliary variable (SAV...
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04/29/2021
The entire network structure of Crossmodal Transformer
Since the mapping relationship between definitized intra-interventional ...
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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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03/19/2021
Semiparametric Bayesian Inference for Local Extrema of Functions in the Presence of Noise
There is a wide range of applications where the local extrema of a funct...
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03/05/2021
PPA: Principal Parcellation Analysis for Brain Connectomes and Multiple Traits
Our understanding of the structure of the brain and its relationships wi...
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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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02/16/2021
AlphaNet: Improved Training of Supernet with Alpha-Divergence
Weight-sharing neural architecture search (NAS) is an effective techniqu...
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01/25/2021
CPT: Efficient Deep Neural Network Training via Cyclic Precision
Low-precision deep neural network (DNN) training has gained tremendous a...
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12/11/2020
Exploring wav2vec 2.0 on speaker verification and language identification
Wav2vec 2.0 is a recently proposed self-supervised framework for speech ...
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11/30/2020
ScaleNAS: One-Shot Learning of Scale-Aware Representations for Visual Recognition
Scale variance among different sizes of body parts and objects is a chal...
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11/27/2020
Equivalence of Convergence Rates of Posterior Distributions and Bayes Estimators for Functions and Nonparametric Functionals
We study the posterior contraction rates of a Bayesian method with Gauss...
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11/23/2020
KeepAugment: A Simple Information-Preserving Data Augmentation Approach
Data augmentation (DA) is an essential technique for training state-of-t...
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11/18/2020
AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling
Neural architecture search (NAS) has shown great promise designing state...
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11/04/2020
An efficient second-order energy stable BDF scheme for the space fractional Cahn-Hilliard equation
The space fractional Cahn-Hilliard phase-field model is more adequate an...
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10/28/2020