Search Results for author: Bowen Li

Found 31 papers, 15 papers with code

Siamese Object Tracking for Unmanned Aerial Vehicle: A Review and Comprehensive Analysis

1 code implementation9 May 2022 Changhong Fu, Kunhan Lu, Guangze Zheng, Junjie Ye, Ziang Cao, Bowen Li

Unmanned aerial vehicle (UAV)-based visual object tracking has enabled a wide range of applications and attracted increasing attention in the field of remote sensing because of its versatility and effectiveness.

Visual Object Tracking

S$^2$SQL: Injecting Syntax to Question-Schema Interaction Graph Encoder for Text-to-SQL Parsers

no code implementations14 Mar 2022 Binyuan Hui, Ruiying Geng, Lihan Wang, Bowen Qin, Bowen Li, Jian Sun, Yongbin Li

The task of converting a natural language question into an executable SQL query, known as text-to-SQL, is an important branch of semantic parsing.

Semantic Parsing Text-To-Sql

Accurate and Generalizable Quantitative Scoring of Liver Steatosis from Ultrasound Images via Scalable Deep Learning

no code implementations12 Oct 2021 Bowen Li, Dar-In Tai, Ke Yan, Yi-Cheng Chen, Shiu-Feng Huang, Tse-Hwa Hsu, Wan-Ting Yu, Jing Xiao, Le Lu, Adam P. Harrison

High diagnostic performance was observed across all viewpoints: area under the curves of the ROC to classify >=mild, >=moderate, =severe steatosis grades were 0. 85, 0. 90, and 0. 93, respectively.

Memory-Driven Text-to-Image Generation

no code implementations29 Sep 2021 Bowen Li, Philip Torr, Thomas Lukasiewicz

We introduce a memory-driven semi-parametric approach to text-to-image generation, which is based on both parametric and non-parametric techniques.

Text to image generation Text-to-Image Generation

Federated Deep Learning with Bayesian Privacy

no code implementations27 Sep 2021 Hanlin Gu, Lixin Fan, Bowen Li, Yan Kang, Yuan YAO, Qiang Yang

To address the aforementioned perplexity, we propose a novel Bayesian Privacy (BP) framework which enables Bayesian restoration attacks to be formulated as the probability of reconstructing private data from observed public information.

Federated Learning Image Classification

FedIPR: Ownership Verification for Federated Deep Neural Network Models

no code implementations27 Sep 2021 Bowen Li, Lixin Fan, Hanlin Gu, Jie Li, Qiang Yang

To address these risks, the ownership verification of federated learning models is a prerequisite that protects federated learning model intellectual property rights (IPR) i. e., FedIPR.

Federated Learning

Blindly Assess Quality of In-the-Wild Videos via Quality-aware Pre-training and Motion Perception

1 code implementation19 Aug 2021 Bowen Li, Weixia Zhang, Meng Tian, Guangtao Zhai, Xianpei Wang

The inaccessibility of reference videos with pristine quality and the complexity of authentic distortions pose great challenges for this kind of blind video quality assessment (BVQA) task.

Action Recognition Image Quality Assessment +4

HiFT: Hierarchical Feature Transformer for Aerial Tracking

1 code implementation ICCV 2021 Ziang Cao, Changhong Fu, Junjie Ye, Bowen Li, Yiming Li

Most existing Siamese-based tracking methods execute the classification and regression of the target object based on the similarity maps.

Decision Making

DarkLighter: Light Up the Darkness for UAV Tracking

1 code implementation30 Jul 2021 Junjie Ye, Changhong Fu, Guangze Zheng, Ziang Cao, Bowen Li

Recent years have witnessed the fast evolution and promising performance of the convolutional neural network (CNN)-based trackers, which aim at imitating biological visual systems.

Unity Perception: Generate Synthetic Data for Computer Vision

no code implementations9 Jul 2021 Steve Borkman, Adam Crespi, Saurav Dhakad, Sujoy Ganguly, Jonathan Hogins, You-Cyuan Jhang, Mohsen Kamalzadeh, Bowen Li, Steven Leal, Pete Parisi, Cesar Romero, Wesley Smith, Alex Thaman, Samuel Warren, Nupur Yadav

We introduce the Unity Perception package which aims to simplify and accelerate the process of generating synthetic datasets for computer vision tasks by offering an easy-to-use and highly customizable toolset.

2D object detection Object Detection +1

SiamAPN++: Siamese Attentional Aggregation Network for Real-Time UAV Tracking

1 code implementation16 Jun 2021 Ziang Cao, Changhong Fu, Junjie Ye, Bowen Li, Yiming Li

By virtue of the attention mechanism, we conduct a special attentional aggregation network (AAN) consisting of self-AAN and cross-AAN for raising the representation ability of features eventually.

ADTrack: Target-Aware Dual Filter Learning for Real-Time Anti-Dark UAV Tracking

1 code implementation4 Jun 2021 Bowen Li, Changhong Fu, Fangqiang Ding, Junjie Ye, Fuling Lin

The target-aware mask can be applied to jointly train a target-focused filter that assists the context filter for robust tracking.

Learning from Subjective Ratings Using Auto-Decoded Deep Latent Embeddings

no code implementations12 Apr 2021 Bowen Li, Xinping Ren, Ke Yan, Le Lu, Lingyun Huang, Guotong Xie, Jing Xiao, Dar-In Tai, Adam P. Harrison

Importantly, ADDLE does not expect multiple raters per image in training, meaning it can readily learn from data mined from hospital archives.

Predictive Visual Tracking: A New Benchmark and Baseline Approach

1 code implementation8 Mar 2021 Bowen Li, Yiming Li, Junjie Ye, Changhong Fu, Hang Zhao

As a crucial robotic perception capability, visual tracking has been intensively studied recently.

Visual Tracking

All-Day Object Tracking for Unmanned Aerial Vehicle

1 code implementation21 Jan 2021 Bowen Li, Changhong Fu, Fangqiang Ding, Junjie Ye, Fuling Lin

However, prior tracking methods have merely focused on robust tracking in the well-illuminated scenes, while ignoring trackers' capabilities to be deployed in the dark.

Visual Object Tracking

Manipulating the anisotropic phase separation in strained VO2 epitaxial films by nanoscale ion-implantation

no code implementations18 Jan 2021 Changlong Hu, Liang Li, Xiaolei Wen, Yuliang Chen, Bowen Li, Hui Ren, Shanguang Zhao, Chongwen Zou

Manipulating the strain induced poly-domains and phase transition in correlated oxide material are important for high performance devices fabrication.

Materials Science Strongly Correlated Electrons

Lightweight Long-Range Generative Adversarial Networks

no code implementations1 Jan 2021 Bowen Li, Thomas Lukasiewicz

In this paper, we introduce a novel lightweight generative adversarial network, which can effectively capture long-range dependencies in the image generation process, and produce high-quality results with a much simpler architecture.

Image Generation

Lightweight Generative Adversarial Networks for Text-Guided Image Manipulation

1 code implementation NeurIPS 2020 Bowen Li, Xiaojuan Qi, Philip H. S. Torr, Thomas Lukasiewicz

To achieve this, a new word-level discriminator is proposed, which provides the generator with fine-grained training feedback at word-level, to facilitate training a lightweight generator that has a small number of parameters, but can still correctly focus on specific visual attributes of an image, and then edit them without affecting other contents that are not described in the text.

 Ranked #1 on Text-to-Image Generation on CUB (FID metric, using extra training data)

Image Manipulation Text-to-Image Generation

Correlation Filters for Unmanned Aerial Vehicle-Based Aerial Tracking: A Review and Experimental Evaluation

1 code implementation13 Oct 2020 Changhong Fu, Bowen Li, Fangqiang Ding, Fuling Lin, Geng Lu

Aerial tracking, which has exhibited its omnipresent dedication and splendid performance, is one of the most active applications in the remote sensing field.

Visual Tracking

Knowledge Graph Extraction from Videos

1 code implementation20 Jul 2020 Louis Mahon, Eleonora Giunchiglia, Bowen Li, Thomas Lukasiewicz

Nearly all existing techniques for automated video annotation (or captioning) describe videos using natural language sentences.

Multilingual Chart-based Constituency Parse Extraction from Pre-trained Language Models

1 code implementation Findings (EMNLP) 2021 Taeuk Kim, Bowen Li, Sang-goo Lee

As it has been unveiled that pre-trained language models (PLMs) are to some extent capable of recognizing syntactic concepts in natural language, much effort has been made to develop a method for extracting complete (binary) parses from PLMs without training separate parsers.

Constituency Parsing Cross-Lingual Transfer

Image-to-Image Translation with Text Guidance

no code implementations12 Feb 2020 Bowen Li, Xiaojuan Qi, Philip H. S. Torr, Thomas Lukasiewicz

The goal of this paper is to embed controllable factors, i. e., natural language descriptions, into image-to-image translation with generative adversarial networks, which allows text descriptions to determine the visual attributes of synthetic images.

Image-to-Image Translation Part-Of-Speech Tagging +1

ManiGAN: Text-Guided Image Manipulation

3 code implementations12 Dec 2019 Bowen Li, Xiaojuan Qi, Thomas Lukasiewicz, Philip H. S. Torr

The goal of our paper is to semantically edit parts of an image matching a given text that describes desired attributes (e. g., texture, colour, and background), while preserving other contents that are irrelevant to the text.

 Ranked #1 on Text-to-Image Generation on CUB (using extra training data)

Image Manipulation Text-to-Image Generation

Controllable Text-to-Image Generation

2 code implementations NeurIPS 2019 Bowen Li, Xiaojuan Qi, Thomas Lukasiewicz, Philip H. S. Torr

In this paper, we propose a novel controllable text-to-image generative adversarial network (ControlGAN), which can effectively synthesise high-quality images and also control parts of the image generation according to natural language descriptions.

Text to image generation Text-to-Image Generation

An Imitation Learning Approach to Unsupervised Parsing

1 code implementation ACL 2019 Bowen Li, Lili Mou, Frank Keller

In our work, we propose an imitation learning approach to unsupervised parsing, where we transfer the syntactic knowledge induced by the PRPN to a Tree-LSTM model with discrete parsing actions.

Imitation Learning Language Modelling +2

Dependency Grammar Induction with a Neural Variational Transition-based Parser

no code implementations14 Nov 2018 Bowen Li, Jianpeng Cheng, Yang Liu, Frank Keller

Transition-based models enable faster inference with $O(n)$ time complexity, but their performance still lags behind.

Dependency Grammar Induction Variational Inference

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