Search Results for author: Liming Zhang

Found 11 papers, 2 papers with code

Voice Query Auto Completion

no code implementations EMNLP 2021 Raphael Tang, Karun Kumar, Kendra Chalkley, Ji Xin, Liming Zhang, Wenyan Li, Gefei Yang, Yajie Mao, Junho Shin, Geoffrey Craig Murray, Jimmy Lin

Query auto completion (QAC) is the task of predicting a search engine user’s final query from their intermediate, incomplete query.

Automatic Speech Recognition

Densely Semantic Enhancement for Domain Adaptive Region-free Detectors

no code implementations30 Aug 2021 Bo Zhang, Tao Chen, Bin Wang, Xiaofeng Wu, Liming Zhang, Jiayuan Fan

Unsupervised domain adaptive object detection aims to adapt a well-trained detector from its original source domain with rich labeled data to a new target domain with unlabeled data.

Object Detection Region Proposal

A Granular Sieving Algorithm for Deterministic Global Optimization

no code implementations14 Jul 2021 Tao Qian, Lei Dai, Liming Zhang, Zehua Chen

With straightforward mathematical formulation applicable to both univariate and multivariate objective functions, the global minimum value and all the global minimizers are located through two decreasing sequences of compact sets in, respectively, the domain and range spaces.

Disentangled Dynamic Graph Deep Generation

1 code implementation14 Oct 2020 Wenbin Zhang, Liming Zhang, Dieter Pfoser, Liang Zhao

Extending existing deep generative models from static to dynamic graphs is a challenging task, which requires to handle the factorization of static and dynamic characteristics as well as mutual interactions among node and edge patterns.

Graph Generation Protein Folding

Factorized Deep Generative Models for Trajectory Generation with Spatiotemporal-Validity Constraints

no code implementations20 Sep 2020 Liming Zhang, Liang Zhao, Dieter Pfoser

Inspired by the success of deep generative neural networks for images and texts, a fast-developing research topic is deep generative models for trajectory data which can learn expressively explanatory models for sophisticated latent patterns.

Variational Inference

TG-GAN: Continuous-time Temporal Graph Generation with Deep Generative Models

1 code implementation17 May 2020 Liming Zhang, Liang Zhao, Shan Qin, Dieter Pfoser

The recent deep generative models for static graphs that are now being actively developed have achieved significant success in areas such as molecule design.

Graph Generation Protein Folding

Conditional-UNet: A Condition-aware Deep Model for Coherent Human Activity Recognition From Wearables

no code implementations15 Apr 2020 Liming Zhang

On the other side, we consider such Co-HAR as a dense labelling problem that classify each sample on a time step with a label to provide high-fidelity and duration-varied support to applications.

Activity Recognition Gesture Recognition +2

A Robust Real-Time Computing-based Environment Sensing System for Intelligent Vehicle

no code implementations27 Jan 2020 Qiwei Xie, Qian Long, Liming Zhang, Zhao Sun

The system is a real-time multi-scheme integrated innovation system, which combines stereo matching algorithm with machine learning based obstacle detection approach and takes advantage of the distributed computing technology of a mobile platform with GPU and CPUs.

Distributed Computing Stereo Matching

A Hole Filling Approach Based on Background Reconstruction for View Synthesis in 3D Video

no code implementations CVPR 2016 Guibo Luo, Yuesheng Zhu, Zhaotian Li, Liming Zhang

However, in the synthesis process, the background occluded by the foreground objects might be exposed in the new view, resulting in some holes in the synthetized video.

Frame Motion Compensation

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