Search Results for author: Tiantian Wang

Found 13 papers, 6 papers with code

Towards 4D Human Video Stylization

1 code implementation7 Dec 2023 Tiantian Wang, Xinxin Zuo, Fangzhou Mu, Jian Wang, Ming-Hsuan Yang

To overcome these limitations, we leverage Neural Radiance Fields (NeRFs) to represent videos, conducting stylization in the rendered feature space.

Novel View Synthesis Style Transfer +1

AMC-Net: An Effective Network for Automatic Modulation Classification

no code implementations2 Apr 2023 Jiawei Zhang, Tiantian Wang, Zhixi Feng, Shuyuan Yang

Automatic modulation classification (AMC) is a crucial stage in the spectrum management, signal monitoring, and control of wireless communication systems.

Classification Denoising +2

Neural Rendering of Humans in Novel View and Pose from Monocular Video

no code implementations4 Apr 2022 Tiantian Wang, Nikolaos Sarafianos, Ming-Hsuan Yang, Tony Tung

We accomplish this by utilizing both the human pose that models the body shape as well as point clouds that partially cover the human as input.

Neural Rendering

Video Matting via Consistency-Regularized Graph Neural Networks

no code implementations ICCV 2021 Tiantian Wang, Sifei Liu, Yapeng Tian, Kai Li, Ming-Hsuan Yang

In this paper, we propose to enhance the temporal coherence by Consistency-Regularized Graph Neural Networks (CRGNN) with the aid of a synthesized video matting dataset.

Image Matting Optical Flow Estimation +1

Referring Expression Object Segmentation with Caption-Aware Consistency

1 code implementation10 Oct 2019 Yi-Wen Chen, Yi-Hsuan Tsai, Tiantian Wang, Yen-Yu Lin, Ming-Hsuan Yang

To this end, we propose an end-to-end trainable comprehension network that consists of the language and visual encoders to extract feature representations from both domains.

Object Referring Expression +3

Deep Learning for Light Field Saliency Detection

no code implementations ICCV 2019 Tiantian Wang, Yongri Piao, Xiao Li, Lihe Zhang, Huchuan Lu

Recent research in 4D saliency detection is limited by the deficiency of a large-scale 4D light field dataset.

Saliency Prediction

Accelerating convolutional neural network by exploiting sparsity on GPUs

2 code implementations22 Sep 2019 Weizhi Xu, Shengyu Fan, Hui Yu, Tiantian Wang, Yufeng Zhou

Multiplications and additions for zero values in the feature map are useless for convolution results.

Distributed, Parallel, and Cluster Computing

Beetle Swarm Optimization Algorithm:Theory and Application

1 code implementation1 Aug 2018 Tiantian Wang, Long Yang

In this paper, a new meta-heuristic algorithm, called beetle swarm optimization algorithm, is proposed by enhancing the performance of swarm optimization through beetle foraging principles.

Progressive Attention Guided Recurrent Network for Salient Object Detection

1 code implementation CVPR 2018 Xiaoning Zhang, Tiantian Wang, Jinqing Qi, Huchuan Lu, Gang Wang

In this paper, we propose a novel attention guided network which selectively integrates multi-level contextual information in a progressive manner.

Ranked #11 on RGB Salient Object Detection on DUTS-TE (max F-measure metric)

Object object-detection +3

Detect Globally, Refine Locally: A Novel Approach to Saliency Detection

no code implementations CVPR 2018 Tiantian Wang, Lihe Zhang, Shuo Wang, Huchuan Lu, Gang Yang, Xiang Ruan, Ali Borji

Moreover, to effectively recover object boundaries, we propose a local Boundary Refinement Network (BRN) to adaptively learn the local contextual information for each spatial position.

object-detection RGB Salient Object Detection +2

PingAn: An Insurance Scheme for Job Acceleration in Geo-distributed Big Data Analytics System

no code implementations9 Apr 2018 Tiantian Wang, Zhuzhong Qian, Sanglu Lu

Geo-distributed data analysis in a cloud-edge system is emerging as a daily demand.

Distributed, Parallel, and Cluster Computing

A Stagewise Refinement Model for Detecting Salient Objects in Images

1 code implementation ICCV 2017 Tiantian Wang, Ali Borji, Lihe Zhang, Pingping Zhang, Huchuan Lu

To remedy this problem, here we propose to augment feedforward neural networks with a novel pyramid pooling module and a multi-stage refinement mechanism for saliency detection.

Ranked #13 on RGB Salient Object Detection on DUTS-TE (max F-measure metric)

object-detection RGB Salient Object Detection +2

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