Search Results for author: Xiangmin Xu

Found 16 papers, 6 papers with code

Modeling Compositionality with Dependency Graph for Dialogue Generation

no code implementations NAACL (SUKI) 2022 Xiaofeng Chen, YiRong Chen, Xiaofen Xing, Xiangmin Xu, Wenjing Han, Qianfeng Tie

Because of the compositionality of natural language, syntactic structure which contains the information about the relationship between words is a key factor for semantic understanding.

Dialogue Generation

Context Sensing Attention Network for Video-based Person Re-identification

no code implementations6 Jul 2022 Kan Wang, Changxing Ding, Jianxin Pang, Xiangmin Xu

In this work, we propose a novel Context Sensing Attention Network (CSA-Net), which improves both the frame feature extraction and temporal aggregation steps.

Video-Based Person Re-Identification

Compact Model Training by Low-Rank Projection with Energy Transfer

no code implementations12 Apr 2022 Kailing Guo, Zhenquan Lin, Xiaofen Xing, Fang Liu, Xiangmin Xu

In this paper, we devise a new training method, low-rank projection with energy transfer (LRPET), that trains low-rank compressed networks from scratch and achieves competitive performance.

Low-rank compression

Weight Evolution: Improving Deep Neural Networks Training through Evolving Inferior Weight Values

1 code implementation9 Oct 2021 Zhenquan Lin, Kailing Guo, Xiaofen Xing, Xiangmin Xu

Comprehensive experiments show that WE outperforms the other reactivation methods and plug-in training methods with typical convolutional neural networks, especially lightweight networks.

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.

LSSED: a large-scale dataset and benchmark for speech emotion recognition

no code implementations30 Jan 2021 Weiquan Fan, Xiangmin Xu, Xiaofen Xing, Weidong Chen, DongYan Huang

Speech emotion recognition is a vital contributor to the next generation of human-computer interaction (HCI).

Speech Emotion Recognition

Listwise View Ranking for Image Cropping

1 code implementation14 May 2019 Weirui Lu, Xiaofen Xing, Bolun Cai, Xiangmin Xu

However, the performance of ranking-based methods is often poor and this is mainly due to two reasons: 1) image cropping is a listwise ranking task rather than pairwise comparison; 2) the rescaling caused by pooling layer and the deformation in view generation damage the performance of composition learning.

Image Cropping

BIT: Biologically Inspired Tracker

no code implementations23 Apr 2019 Bolun Cai, Xiangmin Xu, Xiaofen Xing, Kui Jia, Jie Miao, DaCheng Tao

Visual tracking is challenging due to image variations caused by various factors, such as object deformation, scale change, illumination change and occlusion.

Visual Tracking

Geometry Processing of Conventionally Produced Mouse Brain Slice Images

no code implementations27 Dec 2017 Nitin Agarwal, Xiangmin Xu, Gopi Meenakshisundaram

In this paper we present techniques and algorithms for automatic registration and 3D reconstruction of conventionally produced mouse brain slices in a standardized atlas space.

3D Reconstruction

Deep Sampling Networks

no code implementations4 Dec 2017 Bolun Cai, Xiangmin Xu, Kailing Guo, Kui Jia, DaCheng Tao

With the powerful down-sampling process, the co-training DSN set a new state-of-the-art performance for image super-resolution.

Image Compression Image Super-Resolution

FReLU: Flexible Rectified Linear Units for Improving Convolutional Neural Networks

2 code implementations25 Jun 2017 Suo Qiu, Xiangmin Xu, Bolun Cai

Rectified linear unit (ReLU) is a widely used activation function for deep convolutional neural networks.

Image Classification

Manifold Regularized Slow Feature Analysis for Dynamic Texture Recognition

no code implementations9 Jun 2017 Jie Miao, Xiangmin Xu, Xiaofen Xing, DaCheng Tao

However, complex temporal variations require high-level semantic representations to fully achieve temporal slowness, and thus it is impractical to learn a high-level representation from dynamic textures directly by SFA.

Dynamic Texture Recognition Scene Recognition

Single Image Super-Resolution Using Multi-Scale Convolutional Neural Network

no code implementations15 May 2017 Xiaoyi Jia, Xiangmin Xu, Bolun Cai, Kailing Guo

However, the previous methods mainly restore images from one single area in the low resolution (LR) input, which limits the flexibility of models to infer various scales of details for high resolution (HR) output.

Image Super-Resolution Single Image Super Resolution

Multi-scale Convolutional Neural Networks for Crowd Counting

1 code implementation8 Feb 2017 Lingke Zeng, Xiangmin Xu, Bolun Cai, Suo Qiu, Tong Zhang

Crowd counting on static images is a challenging problem due to scale variations.

Crowd Counting

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