Minglun Gong | DeepAI

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75 publications
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Yang Zhou
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∙ 04/24/2023

GRIG: Few-Shot Generative Residual Image Inpainting

Image inpainting is the task of filling in missing or masked region of a...

0 Wanglong Lu, et al. ∙

∙ 03/23/2023

FER-former: Multi-modal Transformer for Facial Expression Recognition

The ever-increasing demands for intuitive interactions in Virtual Realit...

0 Yande Li, et al. ∙

∙ 02/14/2023

Visibility-Aware Pixelwise View Selection for Multi-View Stereo Matching

The performance of PatchMatch-based multi-view stereo algorithms depends...

0 Zhentao Huang, et al. ∙

∙ 02/10/2023

GCNet: Probing Self-Similarity Learning for Generalized Counting Network

The class-agnostic counting (CAC) problem has caught increasing attentio...

0 Mingjie Wang, et al. ∙

∙ 03/15/2022

CrowdMLP: Weakly-Supervised Crowd Counting via Multi-Granularity MLP

Existing state-of-the-art crowd counting algorithms rely excessively on ...

0 Mingjie Wang, et al. ∙

∙ 11/26/2021

3D Pose Estimation and Future Motion Prediction from 2D Images

This paper considers to jointly tackle the highly correlated tasks of es...

0 Ji Yang, et al. ∙

∙ 11/12/2021

Action2video: Generating Videos of Human 3D Actions

We aim to tackle the interesting yet challenging problem of generating v...

0 Chuan Guo, et al. ∙

∙ 08/15/2021

Human Pose and Shape Estimation from Single Polarization Images

This paper focuses on a new problem of estimating human pose and shape f...

0 Shihao Zou, et al. ∙

∙ 08/15/2021

EventHPE: Event-based 3D Human Pose and Shape Estimation

Event camera is an emerging imaging sensor for capturing dynamics of mov...

0 Shihao Zou, et al. ∙

∙ 08/05/2021

Object Wake-up: 3-D Object Reconstruction, Animation, and in-situ Rendering from a Single Image

Given a picture of a chair, could we extract the 3-D shape of the chair,...

0 Xinxin Zuo, et al. ∙

∙ 07/15/2021

Unsupervised 3D Human Mesh Recovery from Noisy Point Clouds

This paper presents a novel unsupervised approach to reconstruct human s...

0 Xinxin Zuo, et al. ∙

∙ 12/18/2020

STNet: Scale Tree Network with Multi-level Auxiliator for Crowd Counting

Crowd counting remains a challenging task because the presence of drasti...

0 Mingjie Wang, et al. ∙

∙ 07/30/2020

Action2Motion: Conditioned Generation of 3D Human Motions

Action recognition is a relatively established task, where givenan input...

9 Chuan Guo, et al. ∙

∙ 07/17/2020

3D Human Shape Reconstruction from a Polarization Image

This paper tackles the problem of estimating 3D body shape of clothed hu...

52 Shihao Zou, et al. ∙

∙ 06/05/2020

SparseFusion: Dynamic Human Avatar Modeling from Sparse RGBD Images

In this paper, we propose a novel approach to reconstruct 3D human body ...

0 Xinxin Zuo, et al. ∙

∙ 05/25/2020

Interlayer and Intralayer Scale Aggregation for Scale-invariant Crowd Counting

Crowd counting is an important vision task, which faces challenges on co...

0 Mingjie Wang, et al. ∙

∙ 04/30/2020

Polarization Human Shape and Pose Dataset

Polarization images are known to be able to capture polarized reflected ...

14 Shihao Zou, et al. ∙

∙ 10/26/2019

ETNet: Error Transition Network for Arbitrary Style Transfer

Numerous valuable efforts have been devoted to achieving arbitrary style...

31 Chunjin Song, et al. ∙

∙ 11/26/2018

Pair-wise Exchangeable Feature Extraction for Arbitrary Style Transfer

Style transfer has been an important topic in both computer vision and g...

10 Zhijie Wu, et al. ∙

∙ 10/02/2018

Multi-scale Convolution Aggregation and Stochastic Feature Reuse for DenseNets

Recently, Convolution Neural Networks (CNNs) obtained huge success in nu...

0 Mingjie Wang, et al. ∙

∙ 10/02/2018

Semi-dense Stereo Matching using Dual CNNs

A robust solution for semi-dense stereo matching is presented. It utiliz...

6 Wendong Mao, et al. ∙

∙ 05/09/2018

Full 3D Reconstruction of Transparent Objects

Numerous techniques have been proposed for reconstructing 3D models for ...

0 Bojian Wu, et al. ∙

∙ 03/22/2018

Branched Generative Adversarial Networks for Multi-Scale Image Manifold Learning

We introduce BranchGAN, a novel training method that enables uncondition...

0 Zili Yi, et al. ∙

∙ 04/08/2017

DualGAN: Unsupervised Dual Learning for Image-to-Image Translation

Conditional Generative Adversarial Networks (GANs) for cross-domain imag...

0 Zili Yi, et al. ∙

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