Search Results for author: Shuang Liang

Found 22 papers, 6 papers with code

Gan-Based Joint Activity Detection and Channel Estimation For Grant-free Random Access

1 code implementation4 Apr 2022 Shuang Liang, Yinan Zou, Yong Zhou

Joint activity detection and channel estimation (JADCE) for grant-free random access is a critical issue that needs to be addressed to support massive connectivity in IoT networks.

Action Detection Activity Detection

Multi-Agent Vulnerability Discovery for Autonomous Driving with Hazard Arbitration Reward

no code implementations12 Dec 2021 Weilin Liu, Ye Mu, Chao Yu, Xuefei Ning, Zhong Cao, Yi Wu, Shuang Liang, Huazhong Yang, Yu Wang

These scenarios indeed correspond to the vulnerabilities of the under-test driving policies, thus are meaningful for their further improvements.

Autonomous Driving Multi-agent Reinforcement Learning

Sparse Signal Processing for Massive Connectivity via Mixed-Integer Programming

no code implementations20 Aug 2021 Shuang Liang, Yuanming Shi, Yong Zhou

Although an enhanced estimation performance in terms of the mean squared error (MSE) can be achieved, the weighted $l_1$-norm minimization algorithm is still a convex relaxation of the original group-sparse matrix estimation problem, yielding a suboptimal solution.

Action Detection Activity Detection +1

A hybrid deep learning framework for Covid-19 detection via 3D Chest CT Images

no code implementations8 Jul 2021 Shuang Liang

In this paper, we present a hybrid deep learning framework named CTNet which combines convolutional neural network and transformer together for the detection of COVID-19 via 3D chest CT images.

COVID-19 Diagnosis

Realizing Majorana fermion modes in the Kitaev model

no code implementations4 Mar 2021 Jia-Xing Zhang, Lu Yang, Shuang Liang, Wei Chen, Qiang-Hua Wang

We study the possibility to realize Majorana zero mode that's robust and may be easily manipulated for braiding in quantum computing in the ground state of the Kitaev model in this work.

Strongly Correlated Electrons

aw_nas: A Modularized and Extensible NAS framework

1 code implementation25 Nov 2020 Xuefei Ning, Changcheng Tang, Wenshuo Li, Songyi Yang, Tianchen Zhao, Niansong Zhang, Tianyi Lu, Shuang Liang, Huazhong Yang, Yu Wang

Neural Architecture Search (NAS) has received extensive attention due to its capability to discover neural network architectures in an automated manner.

Adversarial Robustness Neural Architecture Search

Evaluating Efficient Performance Estimators of Neural Architectures

1 code implementation NeurIPS 2021 Xuefei Ning, Changcheng Tang, Wenshuo Li, Zixuan Zhou, Shuang Liang, Huazhong Yang, Yu Wang

Conducting efficient performance estimations of neural architectures is a major challenge in neural architecture search (NAS).

Neural Architecture Search

3D Dense Face Alignment via Graph Convolution Networks

no code implementations11 Apr 2019 Huawei Wei, Shuang Liang, Yichen Wei

Recently, 3D face reconstruction and face alignment tasks are gradually combined into one task: 3D dense face alignment.

3D Face Reconstruction Face Alignment

DNNVM : End-to-End Compiler Leveraging Heterogeneous Optimizations on FPGA-based CNN Accelerators

no code implementations20 Feb 2019 Yu Xing, Shuang Liang, Lingzhi Sui, Xijie Jia, Jiantao Qiu, Xin Liu, Yushun Wang, Yu Wang, Yi Shan

On the Xilinx ZU2 @330 MHz and ZU9 @330 MHz, we achieve equivalently state-of-the-art performance on our benchmarks by na\"ive implementations without optimizations, and the throughput is further improved up to 1. 26x by leveraging heterogeneous optimizations in DNNVM.

Pseudo Mask Augmented Object Detection

no code implementations CVPR 2018 Xiangyun Zhao, Shuang Liang, Yichen Wei

In this work, we present a novel and effective framework to facilitate object detection with the instance-level segmentation information that is only supervised by bounding box annotation.

Instance Segmentation Object Detection +2

Compositional Human Pose Regression

1 code implementation ICCV 2017 Xiao Sun, Jiaxiang Shang, Shuang Liang, Yichen Wei

A central problem is that the structural information in the pose is not well exploited in the previous regression methods.

3D Pose Estimation

Deep Kinematic Pose Regression

no code implementations17 Sep 2016 Xingyi Zhou, Xiao Sun, Wei zhang, Shuang Liang, Yichen Wei

In this work, we propose to directly embed a kinematic object model into the deep neutral network learning for general articulated object pose estimation.

3D Human Pose Estimation

Attribute Recognition from Adaptive Parts

no code implementations5 Jul 2016 Luwei Yang, Ligen Zhu, Yichen Wei, Shuang Liang, Ping Tan

Previous part-based attribute recognition approaches perform part detection and attribute recognition in separate steps.

Object Proposal by Multi-Branch Hierarchical Segmentation

no code implementations CVPR 2015 Chaoyang Wang, Long Zhao, Shuang Liang, Liqing Zhang, Jinyuan Jia, Yichen Wei

Hierarchical segmentation based object proposal methods have become an important step in modern object detection paradigm.

Object Detection

Cascaded Hand Pose Regression

no code implementations CVPR 2015 Xiao Sun, Yichen Wei, Shuang Liang, Xiaoou Tang, Jian Sun

We extends the previous 2D cascaded object pose regression work [9] in two aspects so that it works better for 3D articulated objects.

3D Hand Pose Estimation

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