Search Results for author: Shu Zhang

Found 27 papers, 9 papers with code

Use All The Labels: A Hierarchical Multi-Label Contrastive Learning Framework

1 code implementation27 Apr 2022 Shu Zhang, ran Xu, Caiming Xiong, Chetan Ramaiah

Current contrastive learning frameworks focus on leveraging a single supervisory signal to learn representations, which limits the efficacy on unseen data and downstream tasks.

Contrastive Learning Representation Learning

AutoMO-Mixer: An automated multi-objective Mixer model for balanced, safe and robust prediction in medicine

no code implementations4 Mar 2022 Xi Chen, Jiahuan Lv, Dehua Feng, Xuanqin Mou, Ling Bai, Shu Zhang, Zhiguo Zhou

Accurately identifying patient's status through medical images plays an important role in diagnosis and treatment.

DeepSSN: a deep convolutional neural network to assess spatial scene similarity

1 code implementation7 Feb 2022 Danhuai Guo, Shiyin Ge, Shu Zhang, Song Gao, Ran Tao, Yangang Wang

Spatial-query-by-sketch is an intuitive tool to explore human spatial knowledge about geographic environments and to support communication with scene database queries.

Data Augmentation Information Retrieval

Advancing 3D Medical Image Analysis with Variable Dimension Transform based Supervised 3D Pre-training

1 code implementation5 Jan 2022 Shu Zhang, Zihao Li, Hong-Yu Zhou, Jiechao Ma, Yizhou Yu

The difficulties in both data acquisition and annotation substantially restrict the sample sizes of training datasets for 3D medical imaging applications.

Contrastive Learning

A Multi-task Deep Feature Selection Method for Brain Imaging Genetics

no code implementations1 Jul 2021 Chenglin Yu, Dingnan Cui, Muheng Shang, Shu Zhang, Lei Guo, Junwei Han, Lei Du, Alzheimer's Disease Neuroimaging Initiative

Though deep learning models can extract the nonlinear relationship, they could not select relevant genetic factors.

A Structure-Aware Relation Network for Thoracic Diseases Detection and Segmentation

1 code implementation21 Apr 2021 Jie Lian, Jingyu Liu, Shu Zhang, Kai Gao, Xiaoqing Liu, Dingwen Zhang, Yizhou Yu

Leveraging on constant structure and disease relations extracted from domain knowledge, we propose a structure-aware relation network (SAR-Net) extending Mask R-CNN.

Instance Segmentation Object Detection

A method for sharing dynamic geometry information in studies on liquid-based detectors

no code implementations16 Dec 2020 Shu Zhang, Jing-Shu Li, Yang-Jie Su, Yu-Mei Zhang, Zi-Yuan Li, Zheng-Yun You

The liquid-based detectors are widely used in particle and nuclear physics experiments.

Instrumentation and Detectors

Revisiting 3D Context Modeling with Supervised Pre-training for Universal Lesion Detection in CT Slices

no code implementations16 Dec 2020 Shu Zhang, Jincheng Xu, Yu-Chun Chen, Jiechao Ma, Zihao Li, Yizhou Wang, Yizhou Yu

We demonstrate that with the novel pre-training method, the proposed MP3D FPN achieves state-of-the-art detection performance on the DeepLesion dataset (3. 48% absolute improvement in the sensitivity of FPs@0. 5), significantly surpassing the baseline method by up to 6. 06% (in MAP@0. 5) which adopts 2D convolution for 3D context modeling.

2D object detection Computed Tomography (CT) +2

GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-resolved EEG Motor Imagery Signals

1 code implementation16 Jun 2020 Yimin Hou, Shuyue Jia, Xiangmin Lun, Shu Zhang, Tao Chen, Fang Wang, Jinglei Lv

To conclude, the GCNs-Net filters EEG signals based on the functional topological relationship, which manages to decode relevant features for brain motor imagery.

EEG

Deep Feature Mining via Attention-based BiLSTM-GCN for Human Motor Imagery Recognition

no code implementations2 May 2020 Yimin Hou, Shuyue Jia, Xiangmin Lun, Shu Zhang, Tao Chen, Fang Wang, Jinglei Lv

The introduced deep feature mining approach can precisely recognize human motion intents from raw EEG signals, which paves the road to translate the EEG based MI recognition to practical BCI systems.

EEG

Deep Homography Estimation for Dynamic Scenes

1 code implementation CVPR 2020 Hoang Le, Feng Liu, Shu Zhang, Aseem Agarwala

We then develop a multi-scale neural network and show that when properly trained using our new dataset, this neural network can already handle dynamic scenes to some extent.

Homography Estimation Multi-Task Learning

Multi-level Similarity Learning for Low-Shot Recognition

no code implementations13 Dec 2019 Hongwei Xv, Xin Sun, Junyu Dong, Shu Zhang, Qiong Li

Low-shot learning indicates the ability to recognize unseen objects based on very limited labeled training samples, which simulates human visual intelligence.

A Preliminary Study on Data Augmentation of Deep Learning for Image Classification

no code implementations9 Jun 2019 Benlin Hu, Cheng Lei, Dong Wang, Shu Zhang, Zhenyu Chen

Deep learning models have a large number of freeparameters that need to be calculated by effective trainingof the models on a great deal of training data to improvetheir generalization performance.

Data Augmentation General Classification +1

Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering

1 code implementation CVPR 2019 Chenyou Fan, Xiaofan Zhang, Shu Zhang, Wensheng Wang, Chi Zhang, Heng Huang

In this paper, we propose a novel end-to-end trainable Video Question Answering (VideoQA) framework with three major components: 1) a new heterogeneous memory which can effectively learn global context information from appearance and motion features; 2) a redesigned question memory which helps understand the complex semantics of question and highlights queried subjects; and 3) a new multimodal fusion layer which performs multi-step reasoning by attending to relevant visual and textual hints with self-updated attention.

Question Answering Video Question Answering +1

Dense 3D Facial Reconstruction from a Single Depth Image in Unconstrained Environment

no code implementations24 Apr 2017 Shu Zhang, Hui Yu, Ting Wang, Junyu Dong, Honghai Liu

With the increasing demands of applications in virtual reality such as 3D films, virtual Human-Machine Interactions and virtual agents, the analysis of 3D human face analysis is considered to be more and more important as a fundamental step for those virtual reality tasks.

Frame

Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis

3 code implementations ICCV 2017 Rui Huang, Shu Zhang, Tianyu Li, Ran He

This paper proposes a Two-Pathway Generative Adversarial Network (TP-GAN) for photorealistic frontal view synthesis by simultaneously perceiving global structures and local details.

Face Recognition

DeMeshNet: Blind Face Inpainting for Deep MeshFace Verification

no code implementations16 Nov 2016 Shu Zhang, Ran He, Tieniu Tan

The occlusions incurred by random meshes severely degenerate the performance of face verification systems, which raises the MeshFace verification problem between MeshFace and daily photos.

Face Alignment Face Verification +1

Adaptive Algorithm and Platform Selection for Visual Detection and Tracking

no code implementations21 May 2016 Shu Zhang, Qi Zhu, Amit Roy-Chowdhury

In this paper, we focus on this problem and propose a framework to adaptively select the "best" algorithm-parameter combination and the computation platform under performance and cost constraints at design time, and adapt the algorithms at runtime based on real-time inputs.

Pedestrian Detection

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