b'Dong Zhang'

research

∙ 08/31/2023

SpeechTokenizer: Unified Speech Tokenizer for Speech Large Language Models

Current speech large language models build upon discrete speech represen...

0 Xin Zhang, et al. ∙

research

∙ 08/02/2023

Training-Free Instance Segmentation from Semantic Image Segmentation Masks

In recent years, the development of instance segmentation has garnered s...

0 Yuchen Shen, et al. ∙

research

∙ 05/30/2023

The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa)

Gliomas are the most common type of primary brain tumors. Although gliom...

0 Maruf Adewole, et al. ∙

research

∙ 05/19/2023

DUB: Discrete Unit Back-translation for Speech Translation

How can speech-to-text translation (ST) perform as well as machine trans...

0 Dong Zhang, et al. ∙

research

∙ 05/18/2023

SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities

Multi-modal large language models are regarded as a crucial step towards...

0 Dong Zhang, et al. ∙

research

∙ 05/04/2023

Should ChatGPT and Bard Share Revenue with Their Data Providers? A New Business Model for the AI Era

With various AI tools such as ChatGPT becoming increasingly popular, we ...

0 Dong Zhang, et al. ∙

research

∙ 05/01/2023

Rethinking Boundary Detection in Deep Learning Models for Medical Image Segmentation

Medical image segmentation is a fundamental task in the community of med...

0 Yi Lin, et al. ∙

research

∙ 04/18/2023

Coupling Global Context and Local Contents for Weakly-Supervised Semantic Segmentation

Thanks to the advantages of the friendly annotations and the satisfactor...

0 Chunyan Wang, et al. ∙

research

∙ 03/23/2023

A Permutable Hybrid Network for Volumetric Medical Image Segmentation

The advent of Vision Transformer (ViT) has brought substantial advanceme...

0 Yi Lin, et al. ∙

research

∙ 03/17/2023

Semantic Scene Completion with Cleaner Self

Semantic Scene Completion (SSC) transforms an image of single-view depth...

0 Fengyun Wang, et al. ∙

research

∙ 03/13/2023

Vessel-Promoted OCT to OCTA Image Translation by Heuristic Contextual Constraints

Optical Coherence Tomography Angiography (OCTA) has become increasingly ...

0 Shuhan LI, et al. ∙

research

∙ 03/07/2023

Operationalizing AI in Future Networks: A Bird's Eye View from the System Perspective

Modern Artificial Intelligence (AI) technologies, led by Machine Learnin...

0 Tianzhu Zhang, et al. ∙

research

∙ 02/02/2023

Deep-Learning Tool for Early Identifying Non-Traumatic Intracranial Hemorrhage Etiology based on CT Scan

Background: To develop an artificial intelligence system that can accura...

0 Meng Zhao, et al. ∙

research

∙ 10/05/2022

Centralized Feature Pyramid for Object Detection

Visual feature pyramid has shown its superiority in both effectiveness a...

0 Yu Quan, et al. ∙

research

∙ 09/21/2022

Deep Learning for Medical Image Segmentation: Tricks, Challenges and Future Directions

Over the past few years, the rapid development of deep learning technolo...

0 Dong Zhang, et al. ∙

research

∙ 09/20/2022

Graph Reasoning Transformer for Image Parsing

Capturing the long-range dependencies has empirically proven to be effec...

0 Dong Zhang, et al. ∙

research

∙ 09/13/2022

Nonlinear Spectral Duality

Nonlinear eigenvalue problems for pairs of homogeneous convex functions ...

0 Francesco Tudisco, et al. ∙

research

∙ 07/22/2022

Rethinking the Reference-based Distinctive Image Captioning

Distinctive Image Captioning (DIC) – generating distinctive captions tha...

0 Yangjun Mao, et al. ∙

research

∙ 05/04/2022

FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation

The purpose of federated learning is to enable multiple clients to joint...

0 Jeffry Wicaksana, et al. ∙

research

∙ 03/04/2022

The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights

Combinatorial optimization is a well-established area in operations rese...

12 Maxime Gasse, et al. ∙

research

∙ 11/29/2021

FaceAtlasAR: Atlas of Facial Acupuncture Points in Augmented Reality

Acupuncture is a technique in which practitioners stimulate specific poi...

0 Menghe Zhang, et al. ∙

research

∙ 11/11/2021

Towards Domain-Independent and Real-Time Gesture Recognition Using mmWave Signal

Human gesture recognition using millimeter wave (mmWave) signals provide...

6 Yadong Li, et al. ∙

research

∙ 06/23/2021

Region-Aware Network: Model Human's Top-Down Visual Perception Mechanism for Crowd Counting

Background noise and scale variation are common problems that have been ...

0 Yuehai Chen, et al. ∙

research

∙ 03/21/2021

Learning Calibrated-Guidance for Object Detection in Aerial Images

Recently, the study on object detection in aerial images has made tremen...

21 Dong Liang, et al. ∙

research

∙ 01/04/2021

Machine Learning based Malicious Payload Identification in Software-Defined Networking

Deep packet inspection (DPI) has been extensively investigated in softwa...

0 Qiumei Cheng, et al. ∙

research

∙ 09/26/2020

Causal Intervention for Weakly-Supervised Semantic Segmentation

We present a causal inference framework to improve Weakly-Supervised Sem...

1 Dong Zhang, et al. ∙

research

∙ 09/23/2020

Dual-SLAM: A framework for robust single camera navigation

SLAM (Simultaneous Localization And Mapping) seeks to provide a moving a...

16 Huajian Huang, et al. ∙

research

∙ 08/12/2020

Mask Detection and Breath Monitoring from Speech: on Data Augmentation, Feature Representation and Modeling

This paper introduces our approaches for the Mask and Breathing Sub-Chal...

0 Haiwei Wu, et al. ∙

research

∙ 07/18/2020

Feature Pyramid Transformer

Feature interactions across space and scales underpin modern visual reco...

18 Dong Zhang, et al. ∙

research

∙ 05/30/2020

Reconstructing undersampled photoacoustic microscopy images using deep learning

One primary technical challenge in photoacoustic microscopy (PAM) is the...

3 Anthony DiSpirito III, et al. ∙

research

∙ 12/19/2019

A multi-label classification method using a hierarchical and transparent representation for paper-reviewer recommendation

Paper-reviewer recommendation task is of significant academic importance...

0 Dong Zhang, et al. ∙

research

∙ 07/20/2019

Direct Quantification for Coronary Artery Stenosis Using Multiview Learning

The quantification of the coronary artery stenosis is of significant cli...

3 Dong Zhang, et al. ∙

research

∙ 12/23/2018

Border Effect of Complex Network: An analysis on the cooperation network of movie stars across different regions

People always carry out social activities within certain geographic spac...

0 Wen Zhou, et al. ∙

research

∙ 08/02/2018

Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds

With multiple crowd gatherings of millions of people every year in event...

2 Haroon Idrees, et al. ∙

research

∙ 04/10/2017

ClusterNet: Detecting Small Objects in Large Scenes by Exploiting Spatio-Temporal Information

Object detection in wide area motion imagery (WAMI) has drawn the attent...

0 Rodney LaLonde, et al. ∙

research

∙ 04/03/2017

Unsupervised Action Proposal Ranking through Proposal Recombination

Recently, action proposal methods have played an important role in actio...

0 Waqas Sultani, et al. ∙

research

∙ 10/13/2016

Video Fill in the Blank with Merging LSTMs

Given a video and its incomplete textural description with missing words...

0 Amir Mazaheri, et al. ∙

research

∙ 07/12/2016

Local feature hierarchy for face recognition across pose and illumination

Even though face recognition in frontal view and normal lighting conditi...

0 Xiaoyue Jiang, et al. ∙

research

∙ 04/26/2016

A Framework for Human Pose Estimation in Videos

In this paper, we present a method to estimate a sequence of human poses...

0 Dong Zhang, et al. ∙

research

∙ 12/29/2015

Robust Scene Text Recognition Using Sparse Coding based Features

In this paper, we propose an effective scene text recognition method usi...

0 Da-Han Wang, et al. ∙

research

∙ 09/28/2013

Face Verification Using Boosted Cross-Image Features

This paper proposes a new approach for face verification, where a pair o...

0 Dong Zhang, et al. ∙

Dong Zhang

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