b'David Zhang'

research

∙ 08/03/2023

Efficient Model Adaptation for Continual Learning at the Edge

Most machine learning (ML) systems assume stationary and matching data d...

0 Zachary A. Daniels, et al. ∙

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...

0 David Zhang, et al. ∙

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...

0 Andros Tjandra, et al. ∙

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...

0 David Zhang, et al. ∙

research

∙ 09/26/2022

A heterogeneous group CNN for image super-resolution

Convolutional neural networks (CNNs) have obtained remarkable performanc...

14 Chunwei Tian, et al. ∙

research

∙ 09/26/2022

Multi-stage image denoising with the wavelet transform

Deep convolutional neural networks (CNNs) are used for image denoising v...

0 Chunwei Tian, et al. ∙

research

∙ 09/13/2022

Learning ASR pathways: A sparse multilingual ASR model

Neural network pruning can be effectively applied to compress automatic ...

8 Mu Yang, et al. ∙

research

∙ 08/17/2022

Learning with Local Gradients at the Edge

To enable learning on edge devices with fast convergence and low memory,...

0 Michael Lomnitz, et al. ∙

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...

5 Xinyu Lin, et al. ∙

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 ...

0 Xin Feng, et al. ∙

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...

0 Indhumathi Kandaswamy, et al. ∙

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 ...

0 Saurabh Farkya, et al. ∙

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...

0 Chunwei Tian, et al. ∙

research

∙ 12/25/2021

Pseudocylindrical Convolutions for Learned Omnidirectional Image Compression

Although equirectangular projection (ERP) is a convenient form to store ...

5 Mu Li, et al. ∙

research

∙ 11/17/2021

Pedestrian Detection by Exemplar-Guided Contrastive Learning

Typical methods for pedestrian detection focus on either tackling mutual...

0 Zebin Lin, et al. ∙

research

∙ 10/15/2021

Multi-modal Aggregation Network for Fast MR Imaging

Magnetic resonance (MR) imaging is a commonly used scanning technique fo...

0 Chun-Mei Feng, et al. ∙

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...

0 Zengwei Yao, et al. ∙

research

∙ 10/04/2021

BPFNet: A Unified Framework for Bimodal Palmprint Alignment and Fusion

Bimodal palmprint recognition leverages palmprint and palm vein images s...

0 Zhaoqun Li, et al. ∙

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...

0 Xin Feng, et al. ∙

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...

0 Bingzhi Chen, et al. ∙

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...

0 Xiaohui Zhang, et al. ∙

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...

0 Huafeng Li, et al. ∙

research

∙ 03/25/2021

Asymmetric CNN for image super-resolution

Deep convolutional neural networks (CNNs) have been widely applied for l...

0 Chunwei Tian, et al. ∙

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...

0 Zhaoqun Li, et al. ∙

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...

1 Xin Feng, et al. ∙

research

∙ 07/08/2020

Designing and Training of A Dual CNN for Image Denoising

Deep convolutional neural networks (CNNs) for image denoising have recen...

1 Chunwei Tian, et al. ∙

research

∙ 06/20/2020

Embedding-based Retrieval in Facebook Search

Search in social networks such as Facebook poses different challenges th...

0 Jui-Ting Huang, et al. ∙

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...

2 Mu Li, et al. ∙

research

∙ 11/30/2019

Biometric Recognition Using Deep Learning: A Survey

Deep learning-based models have been very successful in achieving state-...

28 Shervin Minaee, et al. ∙

research

∙ 10/07/2019

Bit Efficient Quantization for Deep Neural Networks

Quantization for deep neural networks have afforded models for edge devi...

0 Prateeth Nayak, et al. ∙

research

∙ 08/20/2019

Non-negative Sparse and Collaborative Representation for Pattern Classification

Sparse representation (SR) and collaborative representation (CR) have be...

4 Jun Xu, et al. ∙

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 ...

0 Mu Li, et al. ∙

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-...

0 Xiaohe Wu, et al. ∙

research

∙ 04/01/2019

Learning Content-Weighted Deep Image Compression

Learning-based lossy image compression usually involves the joint optimi...

10 Mu Li, et al. ∙

research

∙ 03/25/2019

Manifold Criterion Guided Transfer Learning via Intermediate Domain Generation

In many practical transfer learning scenarios, the feature distribution ...

22 Lei Zhang, et al. ∙

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...

0 Jun Xu, et al. ∙

research

∙ 04/12/2018

Simultaneous Fidelity and Regularization Learning for Image Restoration

Most existing non-blind restoration methods are based on the assumption ...

2 Dongwei Ren, et al. ∙

research

∙ 04/07/2018

Real-world Noisy Image Denoising: A New Benchmark

Most of previous image denoising methods focus on additive white Gaussia...

0 Jun Xu, et al. ∙

research

∙ 01/25/2018

Dual Asymmetric Deep Hashing Learning

Due to the impressive learning power, deep learning has achieved a remar...

0 Jinxing Li, et al. ∙

research

∙ 01/15/2018

Efficient Trimmed Convolutional Arithmetic Encoding for Lossless Image Compression

Arithmetic encoding is an essential class of coding techniques which hav...

0 Mu Li, et al. ∙

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...

0 Yingjie Yao, et al. ∙

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...

0 Jun Xu, et al. ∙

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 ...

0 Jun Xu, et al. ∙

research

∙ 03/30/2017

Learning Convolutional Networks for Content-weighted Image Compression

Lossy image compression is generally formulated as a joint rate-distorti...

0 Mu Li, et al. ∙

research

∙ 10/18/2016

Deep Identity-aware Transfer of Facial Attributes

This paper presents a Deep convolutional network model for Identity-Awar...

0 Mu Li, et al. ∙

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...

0 Mu Li, et al. ∙

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...

0 Jinxing Li, et al. ∙

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...

0 Yan Yan, et al. ∙

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...

0 Ke Yan, et al. ∙

research

∙ 02/23/2016

A survey of sparse representation: algorithms and applications

Sparse representation has attracted much attention from researchers in f...

0 Zheng Zhang, et al. ∙

David Zhang

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