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09/05/2023
Empirical Review of Smart Contract and DeFi Security: Vulnerability Detection and Automated Repair
Decentralized Finance (DeFi) is emerging as a peer-to-peer financial eco...
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08/16/2023
Pro-Cap: Leveraging a Frozen Vision-Language Model for Hateful Meme Detection
Hateful meme detection is a challenging multimodal task that requires co...
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06/05/2023
Rethinking the visual cues in audio-visual speaker extraction
The Audio-Visual Speaker Extraction (AVSE) algorithm employs parallel vi...
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05/27/2023
Modularized Zero-shot VQA with Pre-trained Models
Large-scale pre-trained models (PTMs) show great zero-shot capabilities....
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03/05/2023
Two-Stage Grasping: A New Bin Picking Framework for Small Objects
This paper proposes a novel bin picking framework, two-stage grasping, a...
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02/08/2023
Prompting for Multimodal Hateful Meme Classification
Hateful meme classification is a challenging multimodal task that requir...
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12/13/2022
Broadband Digital Over-the-Air Computation for Wireless Federated Edge Learning
This paper presents the first orthogonal frequency-division multiplexing...
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08/18/2022
A Coarse-to-Fine Approach for Urban Land Use Mapping Based on Multisource Geospatial Data
Timely and accurate land use mapping is a long-standing problem, which i...
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08/07/2022
Responsible Urban Intelligence: Towards a Research Agenda
Acceleration of urbanisation is posing great challenges to sustainable d...
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04/14/2022
Sim-to-Real 6D Object Pose Estimation via Iterative Self-training for Robotic Bin-picking
In this paper, we propose an iterative self-training framework for sim-t...
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03/05/2022
Towards Robust Part-aware Instance Segmentation for Industrial Bin Picking
Industrial bin picking is a challenging task that requires accurate and ...
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02/26/2022
Exploring the Impact of Negative Samples of Contrastive Learning: A Case Study of Sentence Embedding
Contrastive learning is emerging as a powerful technique for extracting ...
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11/20/2021
Broadband Digital Over-the-Air Computation for Asynchronous Federated Edge Learning
This paper presents the first broadband digital over-the-air computation...
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10/20/2021
ESOD:Edge-based Task Scheduling for Object Detection
Object Detection on the mobile system is a challenge in terms of everyth...
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08/26/2021
Design of a Flying Humanoid Robot Based on Thrust Vector Control
Achieving short-distance flight helps improve the efficiency of humanoid...
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08/15/2021
Spatio-temporal Parking Behaviour Forecasting and Analysis Before and During COVID-19
Parking demand forecasting and behaviour analysis have received increasi...
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08/09/2021
Disentangling Hate in Online Memes
Hateful and offensive content detection has been extensively explored in...
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05/03/2021
An End-to-End and Accurate PPG-based Respiratory Rate Estimation Approach Using Cycle Generative Adversarial Networks
Respiratory rate (RR) is a clinical sign representing ventilation. An ab...
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04/12/2021
Learning to Remove: Towards Isotropic Pre-trained BERT Embedding
Pre-trained language models such as BERT have become a more common choic...
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03/14/2021
AngryBERT: Joint Learning Target and Emotion for Hate Speech Detection
Automated hate speech detection in social media is a challenging task th...
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03/14/2021
DeepHate: Hate Speech Detection via Multi-Faceted Text Representations
Online hate speech is an important issue that breaks the cohesiveness of...
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11/09/2020
Deep Learning based Monocular Depth Prediction: Datasets, Methods and Applications
Estimating depth from RGB images can facilitate many computer vision tas...
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07/21/2020
On Analyzing Antisocial Behaviors Amid COVID-19 Pandemic
The COVID-19 pandemic has developed to be more than a bio-crisis as glob...
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06/27/2020
MiniNet: An extremely lightweight convolutional neural network for real-time unsupervised monocular depth estimation
Predicting depth from a single image is an attractive research topic sin...
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06/24/2020
On Analyzing Annotation Consistency in Online Abusive Behavior Datasets
Online abusive behavior is an important issue that breaks the cohesivene...
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06/12/2019
Vispi: Automatic Visual Perception and Interpretation of Chest X-rays
Medical imaging contains the essential information for rendering diagnos...
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02/15/2019
Enhancing Remote Sensing Image Retrieval with Triplet Deep Metric Learning Network
With the rapid growing of remotely sensed imagery data, there is a high ...
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01/22/2019
The Limits of Morality in Strategic Games
A coalition is blameable for an outcome if the coalition had a strategy ...
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01/04/2019