Search Results for author: Rui Cao

Found 23 papers, 2 papers with code

Prompting for Multimodal Hateful Meme Classification

no code implementations8 Feb 2023 Rui Cao, Roy Ka-Wei Lee, Wen-Haw Chong, Jing Jiang

Specifically, we construct simple prompts and provide a few in-context examples to exploit the implicit knowledge in the pre-trained RoBERTa language model for hateful meme classification.

Classification Language Modelling +1

A Coarse-to-Fine Approach for Urban Land Use Mapping Based on Multisource Geospatial Data

no code implementations18 Aug 2022 Qiaohua Zhou, Rui Cao

The results show that the proposed approach can significantly outperform baseline method that mixes built-up and non-built-up regions, with accuracy increase of 25% and 30% for level-1 and level-2 classification, respectively.


Sim-to-Real 6D Object Pose Estimation via Iterative Self-training for Robotic Bin Picking

no code implementations14 Apr 2022 Kai Chen, Rui Cao, Stephen James, Yichuan Li, Yun-hui Liu, Pieter Abbeel, Qi Dou

To continuously improve the quality of pseudo labels, we iterate the above steps by taking the trained student model as a new teacher and re-label real data using the refined teacher model.

6D Pose Estimation using RGB Robotic Grasping

Exploring the Impact of Negative Samples of Contrastive Learning: A Case Study of Sentence Embedding

1 code implementation Findings (ACL) 2022 Rui Cao, Yihao Wang, Yuxin Liang, Ling Gao, Jie Zheng, Jie Ren, Zheng Wang

We define a maximum traceable distance metric, through which we learn to what extent the text contrastive learning benefits from the historical information of negative samples.

Contrastive Learning Sentence Embedding +3

ESOD:Edge-based Task Scheduling for Object Detection

no code implementations20 Oct 2021 Yihao Wang, Ling Gao, Jie Ren, Rui Cao, Hai Wang, Jie Zheng, Quanli Gao

In detail, we train a DNN model (termed as pre-model) to predict which object detection model to use for the coming task and offloads to which edge servers by physical characteristics of the image task (e. g., brightness, saturation).

object-detection Object Detection +1

Spatio-temporal Parking Behaviour Forecasting and Analysis Before and During COVID-19

no code implementations15 Aug 2021 Shuhui Gong, Xiaopeng Mo, Rui Cao, Yu Liu, Wei Tu, Ruibin Bai

Parking demand forecasting and behaviour analysis have received increasing attention in recent years because of their critical role in mitigating traffic congestion and understanding travel behaviours.

Epidemiology graph construction +1

Disentangling Hate in Online Memes

no code implementations9 Aug 2021 Rui Cao, Ziqing Fan, Roy Ka-Wei Lee, Wen-Haw Chong, Jing Jiang

Our experiment results show that DisMultiHate is able to outperform state-of-the-art unimodal and multimodal baselines in the hateful meme classification task.

Classification Meme Classification

An End-to-End and Accurate PPG-based Respiratory Rate Estimation Approach Using Cycle Generative Adversarial Networks

no code implementations3 May 2021 Seyed Amir Hossein Aqajari, Rui Cao, Amir Hosein Afandizadeh Zargari, Amir M. Rahmani

In this paper, we present an end-to-end and accurate pipeline for RR estimation using Cycle Generative Adversarial Networks (CycleGAN) to reconstruct respiratory signals from raw PPG signals.

Photoplethysmography (PPG) Respiratory Rate Estimation

Learning to Remove: Towards Isotropic Pre-trained BERT Embedding

1 code implementation12 Apr 2021 Yuxin Liang, Rui Cao, Jie Zheng, Jie Ren, Ling Gao

We train the weights on word similarity tasks and show that processed embedding is more isotropic.

Semantic Textual Similarity Word Similarity

DeepHate: Hate Speech Detection via Multi-Faceted Text Representations

no code implementations14 Mar 2021 Rui Cao, Roy Ka-Wei Lee, Tuan-Anh Hoang

Online hate speech is an important issue that breaks the cohesiveness of online social communities and even raises public safety concerns in our societies.

Hate Speech Detection Word Embeddings

AngryBERT: Joint Learning Target and Emotion for Hate Speech Detection

no code implementations14 Mar 2021 Md Rabiul Awal, Rui Cao, Roy Ka-Wei Lee, Sandra Mitrovic

Automated hate speech detection in social media is a challenging task that has recently gained significant traction in the data mining and Natural Language Processing community.

Hate Speech Detection Sentiment Analysis +1

HateGAN: Adversarial Generative-Based Data Augmentation for Hate Speech Detection

no code implementations COLING 2020 Rui Cao, Roy Ka-Wei Lee

We also conduct case studies to empirically examine the HateGAN generated hate speeches and show that the generated tweets are diverse, coherent, and relevant to hate speech detection.

Data Augmentation Hate Speech Detection

Deep Learning based Monocular Depth Prediction: Datasets, Methods and Applications

no code implementations9 Nov 2020 Qing Li, Jiasong Zhu, Jun Liu, Rui Cao, Qingquan Li, Sen Jia, Guoping Qiu

Despite the rapid progress in this topic, there are lacking of a comprehensive review, which is needed to summarize the current progress and provide the future directions.

Depth Prediction Indoor Localization +2

On Analyzing Antisocial Behaviors Amid COVID-19 Pandemic

no code implementations21 Jul 2020 Md Rabiul Awal, Rui Cao, Sandra Mitrovic, Roy Ka-Wei Lee

The COVID-19 pandemic has developed to be more than a bio-crisis as global news has reported a sharp rise in xenophobia and discrimination in both online and offline communities.

MiniNet: An extremely lightweight convolutional neural network for real-time unsupervised monocular depth estimation

no code implementations27 Jun 2020 Jun Liu, Qing Li, Rui Cao, Wenming Tang, Guoping Qiu

To the best of our knowledge, this work is the first extremely lightweight neural network trained on monocular video sequences for real-time unsupervised monocular depth estimation, which opens up the possibility of implementing deep learning-based real-time unsupervised monocular depth prediction on low-cost embedded devices.

Depth Prediction Monocular Depth Estimation +1

On Analyzing Annotation Consistency in Online Abusive Behavior Datasets

no code implementations24 Jun 2020 Md Rabiul Awal, Rui Cao, Roy Ka-Wei Lee, Sandra Mitrović

In this study, we proposed an analytical framework to study the annotation consistency in online hate and abusive content datasets.

Vispi: Automatic Visual Perception and Interpretation of Chest X-rays

no code implementations MIDL 2019 Xin Li, Rui Cao, Dongxiao Zhu

Medical imaging contains the essential information for rendering diagnostic and treatment decisions.

Image Captioning

Enhancing Remote Sensing Image Retrieval with Triplet Deep Metric Learning Network

no code implementations15 Feb 2019 Rui Cao, Qian Zhang, Jiasong Zhu, Qing Li, Qingquan Li, Bozhi Liu, Guoping Qiu

With the rapid growing of remotely sensed imagery data, there is a high demand for effective and efficient image retrieval tools to manage and exploit such data.

Image Retrieval Metric Learning +1

The Limits of Morality in Strategic Games

no code implementations22 Jan 2019 Rui Cao, Pavel Naumov

A coalition is blameable for an outcome if the coalition had a strategy to prevent it.

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