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08/03/2023
Contrastive Multi-FaceForensics: An End-to-end Bi-grained Contrastive Learning Approach for Multi-face Forgery Detection
DeepFakes have raised serious societal concerns, leading to a great surg...
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07/10/2023
One Quarter Each (on Average) Ensures Proportionality
We consider the problem of fair allocation of m indivisible items to a g...
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03/16/2023
Homography matrix based trajectory planning method for robot uncalibrated visual servoing
In view of the classical visual servoing trajectory planning method whic...
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02/21/2023
HierCat: Hierarchical Query Categorization from Weakly Supervised Data at Facebook Marketplace
Query categorization at customer-to-customer e-commerce platforms like F...
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01/19/2023
Weighted EF1 Allocations for Indivisible Chores
We study how to fairly allocate a set of indivisible chores to a group o...
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11/22/2022
Decision-making with Imaginary Opponent Models
Opponent modeling has benefited a controlled agent's decision-making by ...
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11/20/2022
Learning to Search for Job Shop Scheduling via Deep Reinforcement Learning
Recent studies in using deep reinforcement learning (DRL) to solve Job-s...
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10/23/2022
Bootstrapping meaning through listening: Unsupervised learning of spoken sentence embeddings
Inducing semantic representations directly from speech signals is a high...
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09/13/2022
Learning to Solve Multiple-TSP with Time Window and Rejections via Deep Reinforcement Learning
We propose a manager-worker framework based on deep reinforcement learni...
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08/04/2022
Multi-scale Sampling and Aggregation Network For High Dynamic Range Imaging
High dynamic range (HDR) imaging is a fundamental problem in image proce...
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06/20/2022
Sampling Efficient Deep Reinforcement Learning through Preference-Guided Stochastic Exploration
Massive practical works addressed by Deep Q-network (DQN) algorithm have...
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04/14/2022
Applying Feature Underspecified Lexicon Phonological Features in Multilingual Text-to-Speech
This study investigates whether the phonological features derived from t...
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04/06/2022
ByT5 model for massively multilingual grapheme-to-phoneme conversion
In this study, we tackle massively multilingual grapheme-to-phoneme conv...
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01/29/2022
Spherical Convolution empowered FoV Prediction in 360-degree Video Multicast with Limited FoV Feedback
Field of view (FoV) prediction is critical in 360-degree video multicast...
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12/05/2021
Adaptive Channel Encoding Transformer for Point Cloud Analysis
Transformer plays an increasingly important role in various computer vis...
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10/08/2021
Phone-to-audio alignment without text: A Semi-supervised Approach
The task of phone-to-audio alignment has many applications in speech res...
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10/07/2021
Applying Phonological Features in Multilingual Text-To-Speech
This study investigates whether phonological features can be applied in ...
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06/18/2021
Synchronising speech segments with musical beats in Mandarin and English singing
Generating synthesised singing voice with models trained on speech data ...
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03/02/2021
DeepFake-o-meter: An Open Platform for DeepFake Detection
In recent years, the advent of deep learning-based techniques and the si...
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03/01/2021
Comparing acoustic analyses of speech data collected remotely
Face-to-face speech data collection has been next to impossible globally...
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02/04/2021
VSEGAN: Visual Speech Enhancement Generative Adversarial Network
Speech enhancement is an essential task of improving speech quality in n...
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01/15/2021
AMFFCN: Attentional Multi-layer Feature Fusion Convolution Network for Audio-visual Speech Enhancement
Audio-visual speech enhancement system is regarded to be one of promisin...
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01/15/2021
MFFCN: Multi-layer Feature Fusion Convolution Network for Audio-visual Speech Enhancement
The purpose of speech enhancement is to extract target speech signal fro...
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12/09/2020
Discovering Clinically Meaningful Shape Features for the Analysis of Tumor Pathology Images
With the advanced imaging technology, digital pathology imaging of tumor...
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11/24/2020
Bayesian Landmark-based Shape Analysis of Tumor Pathology Images
Medical imaging is a form of technology that has revolutionized the medi...
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11/17/2020
Electric Vehicle Charging Infrastructure Planning: A Scalable Computational Framework
The optimal charging infrastructure planning problem over a large geospa...
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10/23/2020
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning
Priority dispatching rule (PDR) is widely used for solving real-world Jo...
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08/23/2020
DSP: A Differential Spatial Prediction Scheme for Comprehensive real industrial datasets
Inverse Distance Weighted models (IDW) have been widely used for predict...
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01/06/2020
Joint Communication and Computational Resource Allocation for QoE-driven Point Cloud Video Streaming
Point cloud video is the most popular representation of hologram, which ...
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04/09/2016
T-CNN: Tubelets with Convolutional Neural Networks for Object Detection from Videos
The state-of-the-art performance for object detection has been significa...
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01/20/2016
