Search Results for author: Tong Shen

Found 16 papers, 4 papers with code

ViDA-MAN: Visual Dialog with Digital Humans

no code implementations26 Oct 2021 Tong Shen, Jiawei Zuo, Fan Shi, Jin Zhang, Liqin Jiang, Meng Chen, Zhengchen Zhang, Wei zhang, Xiaodong He, Tao Mei

We demonstrate ViDA-MAN, a digital-human agent for multi-modal interaction, which offers realtime audio-visual responses to instant speech inquiries.

speech-recognition Speech Recognition +2

Deep Person Generation: A Survey from the Perspective of Face, Pose and Cloth Synthesis

no code implementations5 Sep 2021 Tong Sha, Wei zhang, Tong Shen, Zhoujun Li, Tao Mei

Deep person generation has attracted extensive research attention due to its wide applications in virtual agents, video conferencing, online shopping and art/movie production.

Data Augmentation Talking Head Generation

Communication-efficient Coordinated RSS-based Distributed Passive Localization via Drone Cluster

no code implementations1 Apr 2021 Xin Cheng, Weiping Shi, Wenlong Cai, Weiqiang Zhu, Tong Shen, Feng Shu, Jiangzhou Wang

Simulation results show that the proposed DMM performs better than the existing distributed Gauss-Newton method (DGN) in terms of root of mean square error (RMSE) under a limited low communication overhead constraint.

UAV Deployment Optimization for Secure Precise Wireless Transmission

no code implementations31 Mar 2021 Tong Shen, Guiyang Xia, Jingjing Ye, Lichuan Gu, Xiaobo Zhou, Feng Shu

This paper develops an unmanned aerial vehicle (UAV) deployment scheme in the context of the directional modulation-based secure precise wireless transmissions (SPWTs), where the optimal UAV position for the SPWT is derived to maximum the secrecy rate (SR) without injecting any artificial noise (AN) signaling.

To Deconvolve, or Not to Deconvolve: Inferences of Neuronal Activities using Calcium Imaging Data

no code implementations3 Mar 2021 Tong Shen, Gyorgy Lur, Xiangmin Xu, Zhaoxia Yu

With the increasing popularity of calcium imaging data in neuroscience research, methods for analyzing calcium trace data are critical to address various questions.


Multi-RIS Aided 3D Secure Precise Wireless Transmission

no code implementations23 Nov 2020 Tong Shen, Wenlong Cai, Yan Lin, Shuo Zhang, Jinyong Lin, Feng Shu, Jiangzhou Wang

Then, multiple RISs are utilized to achieve SPWT through the reflection path among transmitter, RISs and receivers in order to enhance the communication performance and energy efficiency simultaneously.

Classes Matter: A Fine-grained Adversarial Approach to Cross-domain Semantic Segmentation

1 code implementation ECCV 2020 Haoran Wang, Tong Shen, Wei zhang, Ling-Yu Duan, Tao Mei

To fully exploit the supervision in the source domain, we propose a fine-grained adversarial learning strategy for class-level feature alignment while preserving the internal structure of semantics across domains.

Domain Adaptation Semantic Segmentation +1

Zooming into Face Forensics: A Pixel-level Analysis

no code implementations12 Dec 2019 Jia Li, Tong Shen, Wei zhang, Hui Ren, Dan Zeng, Tao Mei

The stunning progress in face manipulation methods has made it possible to synthesize realistic fake face images, which poses potential threats to our society.

Classification General Classification

Unsupervised Domain Adaptation for Object Detection via Cross-Domain Semi-Supervised Learning

1 code implementation17 Nov 2019 Fuxun Yu, Di Wang, Yinpeng Chen, Nikolaos Karianakis, Tong Shen, Pei Yu, Dimitrios Lymberopoulos, Sidi Lu, Weisong Shi, Xiang Chen

In this work, we show that such adversarial-based methods can only reduce the domain style gap, but cannot address the domain content distribution gap that is shown to be important for object detectors.

object-detection Object Detection +1

Regularizing Proxies with Multi-Adversarial Training for Unsupervised Domain-Adaptive Semantic Segmentation

1 code implementation29 Jul 2019 Tong Shen, Dong Gong, Wei zhang, Chunhua Shen, Tao Mei

To tackle the unsupervised domain adaptation problem, we explore the possibilities to generate high-quality labels as proxy labels to supervise the training on target data.

Semantic Segmentation Unsupervised Domain Adaptation

Everyone is a Cartoonist: Selfie Cartoonization with Attentive Adversarial Networks

no code implementations20 Apr 2019 Xinyu Li, Wei zhang, Tong Shen, Tao Mei

Selfie and cartoon are two popular artistic forms that are widely presented in our daily life.


Regional Robust Secure Precise Wireless Transmission Design for Multi-user UAV Broadcasting System

no code implementations9 Apr 2019 Tong Shen, Tingting Liu, Yan Lin, Yongpeng Wu, Feng Shu, Zhu Han

Proposed regional robust schemes are designed for optimizing the secrecy performance in the whole error region around the estimated location.

Bootstrapping the Performance of Webly Supervised Semantic Segmentation

1 code implementation CVPR 2018 Tong Shen, Guosheng Lin, Chunhua Shen, Ian Reid

In this work, we focus on weak supervision, developing a method for training a high-quality pixel-level classifier for semantic segmentation, using only image-level class labels as the provided ground-truth.

Transfer Learning Weakly supervised Semantic Segmentation +1

Weakly Supervised Semantic Segmentation Based on Web Image Co-segmentation

no code implementations25 May 2017 Tong Shen, Guosheng Lin, Lingqiao Liu, Chunhua Shen, Ian Reid

Training a Fully Convolutional Network (FCN) for semantic segmentation requires a large number of masks with pixel level labelling, which involves a large amount of human labour and time for annotation.

Weakly supervised Semantic Segmentation Weakly-Supervised Semantic Segmentation

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