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08/24/2023
Motion-Guided Masking for Spatiotemporal Representation Learning
Several recent works have directly extended the image masked autoencoder...
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08/22/2023
MEGA: Multimodal Alignment Aggregation and Distillation For Cinematic Video Segmentation
Previous research has studied the task of segmenting cinematic videos in...
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07/22/2023
Simple parameter-free self-attention approximation
The hybrid model of self-attention and convolution is one of the methods...
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06/22/2023
DiffWA: Diffusion Models for Watermark Attack
With the rapid development of deep neural networks(DNNs), many robust bl...
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05/21/2023
Markov α-Potential Games: Equilibrium Approximation and Regret Analysis
This paper proposes a new framework to study multi-agent interaction in ...
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05/18/2023
Functional sufficient dimension reduction through information maximization with application to classification
Considering the case where the response variable is a categorical variab...
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05/01/2023
LooPy: A Research-Friendly Mix Framework for Music Information Retrieval on Electronic Dance Music
Music information retrieval (MIR) has gone through an explosive developm...
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04/29/2023
Integrated Sensing and Communications: Recent Advances and Ten Open Challenges
It is anticipated that integrated sensing and communications (ISAC) woul...
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03/27/2023
Revisiting Multimodal Representation in Contrastive Learning: From Patch and Token Embeddings to Finite Discrete Tokens
Contrastive learning-based vision-language pre-training approaches, such...
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03/17/2023
Practical and Ethical Challenges of Large Language Models in Education: A Systematic Literature Review
Educational technology innovations that have been developed based on lar...
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03/16/2023
Lessons Learnt from a Multimodal Learning Analytics Deployment In-the-wild
Multimodal Learning Analytics (MMLA) innovations make use of rapidly evo...
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03/14/2023
CAT: Causal Audio Transformer for Audio Classification
The attention-based Transformers have been increasingly applied to audio...
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03/13/2023
Nearest-Neighbor Inter-Intra Contrastive Learning from Unlabeled Videos
Contrastive learning has recently narrowed the gap between self-supervis...
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11/22/2022
The impact of moving expenses on social segregation: a simulation with RL and ABM
Over the past decades, breakthroughs such as Reinforcement Learning (RL)...
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11/01/2022
Robust Direct Learning for Causal Data Fusion
In the era of big data, the explosive growth of multi-source heterogeneo...
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10/19/2022
Functional data clustering via information maximization
A new method for clustering functional data is proposed via information ...
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09/01/2022
A New Knowledge Distillation Network for Incremental Few-Shot Surface Defect Detection
Surface defect detection is one of the most essential processes for indu...
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07/24/2022
HouseX: A Fine-grained House Music Dataset and its Potential in the Music Industry
Machine sound classification has been one of the fundamental tasks of mu...
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03/31/2022
Stochastic Backpropagation: A Memory Efficient Strategy for Training Video Models
We propose a memory efficient method, named Stochastic Backpropagation (...
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02/09/2022
Improving short-term bike sharing demand forecast through an irregular convolutional neural network
As an important task for the management of bike sharing systems, accurat...
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12/06/2021
A stableness of resistance model for nonresponse adjustment with callback data
The survey world is rife with nonresponse and in many situations the mis...
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09/07/2021
A new neighborhood structure for job shop scheduling problems
Job shop scheduling problem (JSP) is a widely studied NP-complete combin...
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08/05/2021
Object Wake-up: 3-D Object Reconstruction, Animation, and in-situ Rendering from a Single Image
Given a picture of a chair, could we extract the 3-D shape of the chair,...
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07/07/2021
Long Short-Term Transformer for Online Action Detection
In this paper, we present Long Short-term TRansformer (LSTR), a new temp...
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11/14/2020
Improving efficiency of inference in clinical trials with external control data
Suppose we are interested in the effect of a treatment in a clinical tri...
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09/16/2020
Multi-Label Activity Recognition using Activity-specific Features
We introduce an approach to multi-label activity recognition by extracti...
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03/02/2020
Deep Survival Machines: Fully Parametric Survival Regression and Representation Learning for Censored Data with Competing Risks
We describe a new approach to estimating relative risks in time-to-event...
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09/09/2019
Puncturable Signatures and Applications in Proof-of-Stake Blockchain Protocol
Proof-of-stake (PoS) blockchain protocols are emerging as one of the mos...
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05/18/2019
BERTSel: Answer Selection with Pre-trained Models
Recently, pre-trained models have been the dominant paradigm in natural ...
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04/20/2019
Everyone is a Cartoonist: Selfie Cartoonization with Attentive Adversarial Networks
Selfie and cartoon are two popular artistic forms that are widely presen...
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01/24/2019
Multi-stream Network With Temporal Attention For Environmental Sound Classification
Environmental sound classification systems often do not perform robustly...
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12/06/2018
Tri-axial Self-Attention for Concurrent Activity Recognition
We present a system for concurrent activity recognition. To extract feat...
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10/29/2018
Differential Evolution with Nearest & Better Option for Function Optimization
Differential evolution is the conventional algorithm with the fastest co...
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05/22/2018
Multimodal Affective Analysis Using Hierarchical Attention Strategy with Word-Level Alignment
Multimodal affective computing, learning to recognize and interpret huma...
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04/09/2018
Whale swarm algorithm with iterative counter for multimodal function optimization
Most real-world optimization problems often come with multiple global op...
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02/16/2017
Evaluation of Trace Alignment Quality and its Application in Medical Process Mining
Trace alignment algorithms have been used in process mining for discover...
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02/11/2017
Whale swarm algorithm for function optimization
Increasing nature-inspired metaheuristic algorithms are applied to solvi...
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02/10/2017
Online People Tracking and Identification with RFID and Kinect
We introduce a novel, accurate and practical system for real-time people...
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02/06/2017