research
∙
08/03/2023
Efficient Model Adaptation for Continual Learning at the Edge
Most machine learning (ML) systems assume stationary and matching data d...
share
research
∙
11/30/2022
Time-Efficient Reward Learning via Visually Assisted Cluster Ranking
One of the most successful paradigms for reward learning uses human feed...
research
∙
11/10/2022
Massively Multilingual ASR on 70 Languages: Tokenization, Architecture, and Generalization Capabilities
End-to-end multilingual ASR has become more appealing because of several...
research
∙
10/14/2022
Low-power In-pixel Computing with Current-modulated Switched Capacitors
We present a scalable in-pixel processing architecture that can reduce t...
research
∙
09/26/2022
A heterogeneous group CNN for image super-resolution
Convolutional neural networks (CNNs) have obtained remarkable performanc...
research
∙
09/26/2022
Multi-stage image denoising with the wavelet transform
Deep convolutional neural networks (CNNs) are used for image denoising v...
research
∙
09/13/2022
Learning ASR pathways: A sparse multilingual ASR model
Neural network pruning can be effectively applied to compress automatic ...
research
∙
08/17/2022
Learning with Local Gradients at the Edge
To enable learning on edge devices with fast convergence and low memory,...
research
∙
08/04/2022
Learning Modal-Invariant and Temporal-Memory for Video-based Visible-Infrared Person Re-Identification
Thanks for the cross-modal retrieval techniques, visible-infrared (RGB-I...
research
∙
07/16/2022
Global-Local Stepwise Generative Network for Ultra High-Resolution Image Restoration
While the research on image background restoration from regular size of ...
research
∙
06/10/2022
Real-time Hyper-Dimensional Reconfiguration at the Edge using Hardware Accelerators
In this paper we present Hyper-Dimensional Reconfigurable Analytics at t...
research
∙
06/10/2022
Saccade Mechanisms for Image Classification, Object Detection and Tracking
We examine how the saccade mechanism from biological vision can be used ...
research
∙
05/29/2022
Image Super-resolution with An Enhanced Group Convolutional Neural Network
CNNs with strong learning abilities are widely chosen to resolve super-r...
research
∙
12/25/2021
Pseudocylindrical Convolutions for Learned Omnidirectional Image Compression
Although equirectangular projection (ERP) is a convenient form to store ...
research
∙
11/17/2021
Pedestrian Detection by Exemplar-Guided Contrastive Learning
Typical methods for pedestrian detection focus on either tackling mutual...
research
∙
10/15/2021
Multi-modal Aggregation Network for Fast MR Imaging
Magnetic resonance (MR) imaging is a commonly used scanning technique fo...
research
∙
10/10/2021
Stepwise-Refining Speech Separation Network via Fine-Grained Encoding in High-order Latent Domain
The crux of single-channel speech separation is how to encode the mixtur...
research
∙
10/04/2021
BPFNet: A Unified Framework for Bimodal Palmprint Alignment and Fusion
Bimodal palmprint recognition leverages palmprint and palm vein images s...
research
∙
10/01/2021
Generative Memory-Guided Semantic Reasoning Model for Image Inpainting
Most existing methods for image inpainting focus on learning the intra-i...
research
∙
07/12/2021
TransAttUnet: Multi-level Attention-guided U-Net with Transformer for Medical Image Segmentation
With the development of deep encoder-decoder architectures and large-sca...
research
∙
07/09/2021
On lattice-free boosted MMI training of HMM and CTC-based full-context ASR models
Hybrid automatic speech recognition (ASR) models are typically sequentia...
research
∙
06/26/2021
Dual-Stream Reciprocal Disentanglement Learning for Domain Adaption Person Re-Identification
Since human-labeled samples are free for the target set, unsupervised pe...
research
∙
03/25/2021
Asymmetric CNN for image super-resolution
Deep convolutional neural networks (CNNs) have been widely applied for l...
research
∙
03/03/2021
Touchless Palmprint Recognition based on 3D Gabor Template and Block Feature Refinement
With the growing demand for hand hygiene and convenience of use, palmpri...
research
∙
10/09/2020
Deep-Masking Generative Network: A Unified Framework for Background Restoration from Superimposed Images
Restoring the clean background from the superimposed images containing a...
research
∙
07/08/2020
Designing and Training of A Dual CNN for Image Denoising
Deep convolutional neural networks (CNNs) for image denoising have recen...
research
∙
06/20/2020
Embedding-based Retrieval in Facebook Search
Search in social networks such as Facebook poses different challenges th...
research
∙
05/10/2020
Learning Context-Based Non-local Entropy Modeling for Image Compression
The entropy of the codes usually serves as the rate loss in the recent l...
research
∙
11/30/2019
Biometric Recognition Using Deep Learning: A Survey
Deep learning-based models have been very successful in achieving state-...
research
∙
10/07/2019
Bit Efficient Quantization for Deep Neural Networks
Quantization for deep neural networks have afforded models for edge devi...
research
∙
08/20/2019
Non-negative Sparse and Collaborative Representation for Pattern Classification
Sparse representation (SR) and collaborative representation (CR) have be...
research
∙
06/24/2019
Efficient and Effective Context-Based Convolutional Entropy Modeling for Image Compression
It has long been understood that precisely estimating the probabilistic ...
research
∙
05/16/2019
Remove Cosine Window from Correlation Filter-based Visual Trackers: When and How
Correlation filters (CFs) have been continuously advancing the state-of-...
research
∙
04/01/2019
Learning Content-Weighted Deep Image Compression
Learning-based lossy image compression usually involves the joint optimi...
research
∙
03/25/2019
Manifold Criterion Guided Transfer Learning via Intermediate Domain Generation
In many practical transfer learning scenarios, the feature distribution ...
research
∙
07/11/2018
A Trilateral Weighted Sparse Coding Scheme for Real-World Image Denoising
Most of existing image denoising methods assume the corrupted noise to b...
research
∙
04/12/2018
Simultaneous Fidelity and Regularization Learning for Image Restoration
Most existing non-blind restoration methods are based on the assumption ...
research
∙
04/07/2018
Real-world Noisy Image Denoising: A New Benchmark
Most of previous image denoising methods focus on additive white Gaussia...
research
∙
01/25/2018
Dual Asymmetric Deep Hashing Learning
Due to the impressive learning power, deep learning has achieved a remar...
research
∙
01/15/2018
Efficient Trimmed Convolutional Arithmetic Encoding for Lossless Image Compression
Arithmetic encoding is an essential class of coding techniques which hav...
research
∙
10/05/2017
Integrating Boundary and Center Correlation Filters for Visual Tracking with Aspect Ratio Variation
The aspect ratio variation frequently appears in visual tracking and has...
research
∙
05/28/2017
Multi-channel Weighted Nuclear Norm Minimization for Real Color Image Denoising
Most of the existing denoising algorithms are developed for grayscale im...
research
∙
05/12/2017
External Prior Guided Internal Prior Learning for Real Noisy Image Denoising
Most of existing image denoising methods learn image priors from either ...
research
∙
03/30/2017
Learning Convolutional Networks for Content-weighted Image Compression
Lossy image compression is generally formulated as a joint rate-distorti...
research
∙
10/18/2016
Deep Identity-aware Transfer of Facial Attributes
This paper presents a Deep convolutional network model for Identity-Awar...
research
∙
08/23/2016
Convolutional Network for Attribute-driven and Identity-preserving Human Face Generation
This paper focuses on the problem of generating human face pictures from...
research
∙
04/12/2016
Multi-modal Fusion for Diabetes Mellitus and Impaired Glucose Regulation Detection
Effective and accurate diagnosis of Diabetes Mellitus (DM), as well as i...
research
∙
03/25/2016
Quadratic Projection Based Feature Extraction with Its Application to Biometric Recognition
This paper presents a novel quadratic projection based feature extractio...
research
∙
03/15/2016
Learning Domain-Invariant Subspace using Domain Features and Independence Maximization
Domain adaptation algorithms are useful when the distributions of the tr...
research
∙
02/23/2016
