b'Cheng Peng'

research

∙ 05/31/2023

Control4D: Dynamic Portrait Editing by Learning 4D GAN from 2D Diffusion-based Editor

Recent years have witnessed considerable achievements in editing images ...

0 Ruizhi Shao, et al. ∙

research

∙ 04/28/2023

Mixture Quantiles Estimated by Constrained Linear Regression

The paper considers the problem of modeling a univariate random variable...

0 Cheng Peng, et al. ∙

research

∙ 04/08/2023

Capturing dynamical correlations using implicit neural representations

The observation and description of collective excitations in solids is a...

0 Sathya Chitturi, et al. ∙

research

∙ 01/31/2023

Factor Model of Mixtures

This paper proposes a new approach to estimating the distribution of a r...

0 Cheng Peng, et al. ∙

research

∙ 12/02/2022

A Geometric-Relational Deep Learning Framework for BIM Object Classification

Interoperability issue is a significant problem in Building Information ...

0 Hairong Luo, et al. ∙

research

∙ 10/11/2022

DA-VSR: Domain Adaptable Volumetric Super-Resolution For Medical Images

Medical image super-resolution (SR) is an active research area that has ...

0 Cheng Peng, et al. ∙

research

∙ 10/08/2022

Multi-Modal Human Authentication Using Silhouettes, Gait and RGB

Whole-body-based human authentication is a promising approach for remote...

0 Yuxiang Guo, et al. ∙

research

∙ 08/17/2022

PDRF: Progressively Deblurring Radiance Field for Fast and Robust Scene Reconstruction from Blurry Images

We present Progressively Deblurring Radiance Field (PDRF), a novel appro...

0 Cheng Peng, et al. ∙

research

∙ 08/17/2022

REGAS: REspiratory-GAted Synthesis of Views for Multi-Phase CBCT Reconstruction from a single 3D CBCT Acquisition

It is a long-standing challenge to reconstruct Cone Beam Computed Tomogr...

16 Cheng Peng, et al. ∙

research

∙ 03/29/2022

A quantum-inspired tensor network method for constrained combinatorial optimization problems

Combinatorial optimization is of general interest for both theoretical s...

0 Tianyi Hao, et al. ∙

research

∙ 03/08/2022

Towards performant and reliable undersampled MR reconstruction via diffusion model sampling

Magnetic Resonance (MR) image reconstruction from under-sampled acquisit...

0 Cheng Peng, et al. ∙

research

∙ 03/07/2022

Undersampled MRI Reconstruction with Side Information-Guided Normalisation

Magnetic resonance (MR) images exhibit various contrasts and appearances...

0 Xinwen Liu, et al. ∙

research

∙ 12/20/2021

HyperSegNAS: Bridging One-Shot Neural Architecture Search with 3D Medical Image Segmentation using HyperNet

Semantic segmentation of 3D medical images is a challenging task due to ...

0 Cheng Peng, et al. ∙

research

∙ 12/07/2021

RSBNet: One-Shot Neural Architecture Search for A Backbone Network in Remote Sensing Image Recognition

Recently, a massive number of deep learning based approaches have been s...

10 Cheng Peng, et al. ∙

research

∙ 10/18/2021

GAN-based disentanglement learning for chest X-ray rib suppression

Clinical evidence has shown that rib-suppressed chest X-rays (CXRs) can ...

0 Luyi Han, et al. ∙

research

∙ 04/17/2021

Context-Aware Interaction Network for Question Matching

Impressive milestones have been achieved in text matching by adopting a ...

0 Zhe Hu, et al. ∙

research

∙ 03/08/2021

U-DuDoNet: Unpaired dual-domain network for CT metal artifact reduction

Recently, both supervised and unsupervised deep learning methods have be...

0 Yuanyuan Lyu, et al. ∙

research

∙ 12/04/2020

XraySyn: Realistic View Synthesis From a Single Radiograph Through CT Priors

A radiograph visualizes the internal anatomy of a patient through the us...

0 Cheng Peng, et al. ∙

research

∙ 10/06/2020

A Multi-Task Incremental Learning Framework with Category Name Embedding for Aspect-Category Sentiment Analysis

(T)ACSA tasks, including aspect-category sentiment analysis (ACSA) and t...

8 Zehui Dai, et al. ∙

research

∙ 01/30/2020

Ellipse R-CNN: Learning to Infer Elliptical Object from Clustering and Occlusion

Images of heavily occluded objects in cluttered scenes, such as fruit cl...

7 Wenbo Dong, et al. ∙

research

∙ 11/30/2019

Idle Time Optimization for Target Assignment and Path Finding in Sortation Centers

In this paper, we study the one-shot and lifelong versions of the Target...

14 Ngai Meng Kou, et al. ∙

research

∙ 11/28/2019

An Efficient Multi-Domain Framework for Image-to-Image Translation

Existing approaches have been proposed to tackle unsupervised image-to-i...

4 Ye Lin, et al. ∙

research

∙ 11/18/2019

Potential Field: Interpretable and Unified Representation for Trajectory Prediction

Predicting an agent's future trajectory is a challenging task given the ...

0 Shan Su, et al. ∙

research

∙ 09/20/2019

Map as The Hidden Sensor: Fast Odometry-Based Global Localization

Accurate and robust global localization is essential to robotics applica...

0 Cheng Peng, et al. ∙

research

∙ 08/15/2019

Towards multi-sequence MR image recovery from undersampled k-space data

Undersampled MR image recovery has been widely studied for accelerated M...

1 Cheng Peng, et al. ∙

research

∙ 08/15/2019

Deep Slice Interpolation via Marginal Super-Resolution, Fusion and Refinement

We propose a marginal super-resolution (MSR) approach based on 2D convol...

2 Cheng Peng, et al. ∙

research

∙ 06/29/2019

DuDoNet: Dual Domain Network for CT Metal Artifact Reduction

Computed tomography (CT) is an imaging modality widely used for medical ...

3 Wei-An Lin, et al. ∙

research

∙ 03/26/2019

Generative Tensor Network Classification Model for Supervised Machine Learning

Tensor network (TN) has recently triggered extensive interests in develo...

18 Zheng-Zhi Sun, et al. ∙

research

∙ 05/01/2018

Adaptive View Planning for Aerial 3D Reconstruction of Complex Scenes

With the proliferation of small aerial vehicles, acquiring close up aeri...

0 Cheng Peng, et al. ∙

research

∙ 10/13/2017

Machine Learning by Two-Dimensional Hierarchical Tensor Networks: A Quantum Information Theoretic Perspective on Deep Architectures

The resemblance between the methods used in studying quantum-many body p...

0 Ding Liu, et al. ∙

research

∙ 07/09/2017

A Fast Integrated Planning and Control Framework for Autonomous Driving via Imitation Learning

For safe and efficient planning and control in autonomous driving, we ne...

0 Liting Sun, et al. ∙

research

∙ 03/31/2017

Optimal Reconstruction with a Small Number of Views

Estimating positions of world points from features observed in images is...

1 Cheng Peng, et al. ∙

Cheng Peng

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