Search Results for author: Chongyang Ma

Found 22 papers, 9 papers with code

MobRecon: Mobile-Friendly Hand Mesh Reconstruction from Monocular Image

1 code implementation6 Dec 2021 Xingyu Chen, Yufeng Liu, Yajiao Dong, Xiong Zhang, Chongyang Ma, Yanmin Xiong, Yuan Zhang, Xiaoyan Guo

Overall, our hand reconstruction framework, called MobRecon, comprises affordable computational costs and miniature model size, which reaches a high inference speed of 83FPS on Apple A14 CPU.

Implicit Neural Deformation for Multi-View Face Reconstruction

no code implementations5 Dec 2021 Moran Li, Haibin Huang, Yi Zheng, Mengtian Li, Nong Sang, Chongyang Ma

In this work, we present a new method for 3D face reconstruction from multi-view RGB images.

3D Face Reconstruction

Scene Synthesis via Uncertainty-Driven Attribute Synchronization

1 code implementation ICCV 2021 Haitao Yang, Zaiwei Zhang, Siming Yan, Haibin Huang, Chongyang Ma, Yi Zheng, Chandrajit Bajaj, QiXing Huang

This task is challenging because 3D scenes exhibit diverse patterns, ranging from continuous ones, such as object sizes and the relative poses between pairs of shapes, to discrete patterns, such as occurrence and co-occurrence of objects with symmetrical relationships.

Beyond Farthest Point Sampling in Point-Wise Analysis

no code implementations9 Jul 2021 Yiqun Lin, Lichang Chen, Haibin Huang, Chongyang Ma, Xiaoguang Han, Shuguang Cui

Sampling, grouping, and aggregation are three important components in the multi-scale analysis of point clouds.

Keypoint Detection Point Cloud Completion

StyTr^2: Unbiased Image Style Transfer with Transformers

2 code implementations30 May 2021 Yingying Deng, Fan Tang, Xingjia Pan, WeiMing Dong, Chongyang Ma, Changsheng Xu

The goal of image style transfer is to render an image with artistic features guided by a style reference while maintaining the original content.

Style Transfer

HPNet: Deep Primitive Segmentation Using Hybrid Representations

1 code implementation ICCV 2021 Siming Yan, Zhenpei Yang, Chongyang Ma, Haibin Huang, Etienne Vouga, QiXing Huang

This paper introduces HPNet, a novel deep-learning approach for segmenting a 3D shape represented as a point cloud into primitive patches.

Camera-Space Hand Mesh Recovery via Semantic Aggregation and Adaptive 2D-1D Registration

1 code implementation CVPR 2021 Xingyu Chen, Yufeng Liu, Chongyang Ma, Jianlong Chang, Huayan Wang, Tian Chen, Xiaoyan Guo, Pengfei Wan, Wen Zheng

In the root-relative mesh recovery task, we exploit semantic relations among joints to generate a 3D mesh from the extracted 2D cues.

Effective Label Propagation for Discriminative Semi-Supervised Domain Adaptation

no code implementations4 Dec 2020 Zhiyong Huang, Kekai Sheng, WeiMing Dong, Xing Mei, Chongyang Ma, Feiyue Huang, Dengwen Zhou, Changsheng Xu

For intra-domain propagation, we propose an effective self-training strategy to mitigate the noises in pseudo-labeled target domain data and improve the feature discriminability in the target domain.

Domain Adaptation Image Classification

Arbitrary Video Style Transfer via Multi-Channel Correlation

no code implementations17 Sep 2020 Yingying Deng, Fan Tang, Wei-Ming Dong, Haibin Huang, Chongyang Ma, Changsheng Xu

Towards this end, we propose Multi-Channel Correction network (MCCNet), which can be trained to fuse the exemplar style features and input content features for efficient style transfer while naturally maintaining the coherence of input videos.

Style Transfer Video Style Transfer

Distribution Aligned Multimodal and Multi-Domain Image Stylization

no code implementations2 Jun 2020 Minxuan Lin, Fan Tang, Wei-Ming Dong, Xiao Li, Chongyang Ma, Changsheng Xu

Currently, there are few methods that can perform both multimodal and multi-domain stylization simultaneously.

Image Stylization

Dynamic Refinement Network for Oriented and Densely Packed Object Detection

1 code implementation CVPR 2020 Xingjia Pan, Yuqiang Ren, Kekai Sheng, Wei-Ming Dong, Haolei Yuan, Xiaowei Guo, Chongyang Ma, Changsheng Xu

However, the detection of oriented and densely packed objects remains challenging because of following inherent reasons: (1) receptive fields of neurons are all axis-aligned and of the same shape, whereas objects are usually of diverse shapes and align along various directions; (2) detection models are typically trained with generic knowledge and may not generalize well to handle specific objects at test time; (3) the limited dataset hinders the development on this task.

Object Detection

Revisiting Image Aesthetic Assessment via Self-Supervised Feature Learning

no code implementations26 Nov 2019 Kekai Sheng, Wei-Ming Dong, Menglei Chai, Guohui Wang, Peng Zhou, Feiyue Huang, Bao-Gang Hu, Rongrong Ji, Chongyang Ma

In this paper, we revisit the problem of image aesthetic assessment from the self-supervised feature learning perspective.

LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning

1 code implementation15 May 2019 Huaiyu Li, Wei-Ming Dong, Xing Mei, Chongyang Ma, Feiyue Huang, Bao-Gang Hu

The TargetNet module is a neural network for solving a specific task and the MetaNet module aims at learning to generate functional weights for TargetNet by observing training samples.

Few-Shot Learning

End-to-End Time-Lapse Video Synthesis from a Single Outdoor Image

no code implementations CVPR 2019 Seonghyeon Nam, Chongyang Ma, Menglei Chai, William Brendel, Ning Xu, Seon Joo Kim

Time-lapse videos usually contain visually appealing content but are often difficult and costly to create.

SiCloPe: Silhouette-Based Clothed People

no code implementations CVPR 2019 Ryota Natsume, Shunsuke Saito, Zeng Huang, Weikai Chen, Chongyang Ma, Hao Li, Shigeo Morishima

The synthesized silhouettes which are the most consistent with the input segmentation are fed into a deep visual hull algorithm for robust 3D shape prediction.

Image-to-Image Translation

Gourmet Photography Dataset for Aesthetic Assessment of Food Images

1 code implementation SIGGRAPH Asia 2018 2018 Kekai Sheng, Wei-Ming Dong, Haibin Huang, Chongyang Ma, Bao-Gang Hu

In this study, we present the Gourmet Photography Dataset (GPD), which is the first large-scale dataset for aesthetic assessment of food photographs.

Attention-based Multi-Patch Aggregation for Image Aesthetic Assessment

1 code implementation ACM Multimedia Conference 2018 Kekai Sheng, Wei-Ming Dong, Chongyang Ma, Xing Mei, Feiyue Huang, Bao-Gang Hu

Aggregation structures with explicit information, such as image attributes and scene semantics, are effective and popular for intelligent systems for assessing aesthetics of visual data.

Aesthetics Quality Assessment

Deep Volumetric Video From Very Sparse Multi-View Performance Capture

no code implementations ECCV 2018 Zeng Huang, Tianye Li, Weikai Chen, Yajie Zhao, Jun Xing, Chloe LeGendre, Linjie Luo, Chongyang Ma, Hao Li

We present a deep learning-based volumetric capture approach for performance capture using a passive and highly sparse multi-view capture system.

Surface Reconstruction

Deep Generative Modeling for Scene Synthesis via Hybrid Representations

no code implementations6 Aug 2018 Zaiwei Zhang, Zhenpei Yang, Chongyang Ma, Linjie Luo, Alexander Huth, Etienne Vouga, Qi-Xing Huang

We show a principled way to train this model by combining discriminator losses for both a 3D object arrangement representation and a 2D image-based representation.

Image Retargetability

no code implementations12 Feb 2018 Fan Tang, Wei-Ming Dong, Yiping Meng, Chongyang Ma, Fuzhang Wu, Xinrui Li, Tong-Yee Lee

In this work, we introduce the notion of image retargetability to describe how well a particular image can be handled by content-aware image retargeting.

Unconstrained Realtime Facial Performance Capture

no code implementations CVPR 2015 Pei-Lun Hsieh, Chongyang Ma, Jihun Yu, Hao Li

We introduce a realtime facial tracking system specifically designed for performance capture in unconstrained settings using a consumer-level RGB-D sensor.

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