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08/14/2023
OpenGCD: Assisting Open World Recognition with Generalized Category Discovery
A desirable open world recognition (OWR) system requires performing thre...
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07/29/2023
Rapid Flood Inundation Forecast Using Fourier Neural Operator
Flood inundation forecast provides critical information for emergency pl...
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07/14/2023
Multi-Dimensional Ability Diagnosis for Machine Learning Algorithms
Machine learning algorithms have become ubiquitous in a number of applic...
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07/06/2023
TL-nvSRAM-CIM: Ultra-High-Density Three-Level ReRAM-Assisted Computing-in-nvSRAM with DC-Power Free Restore and Ternary MAC Operations
Accommodating all the weights on-chip for large-scale NNs remains a grea...
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06/14/2023
Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation
Zero-Shot Learning (ZSL), which aims at automatically recognizing unseen...
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05/07/2023
Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity
Deep Reinforcement Learning (DRL) has exhibited efficacy in resolving th...
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03/24/2023
PFT-SSR: Parallax Fusion Transformer for Stereo Image Super-Resolution
Stereo image super-resolution aims to boost the performance of image sup...
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03/16/2023
Energy Management of Multi-mode Plug-in Hybrid Electric Vehicle using Multi-agent Deep Reinforcement Learning
The recently emerging multi-mode plug-in hybrid electric vehicle (PHEV) ...
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03/16/2023
Rehearsal-Free Domain Continual Face Anti-Spoofing: Generalize More and Forget Less
Face Anti-Spoofing (FAS) is recently studied under the continual learnin...
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03/01/2023
GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation
Sequential Recommendation is a widely studied paradigm for learning user...
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02/25/2023
Autonomous Exploration and Mapping for Mobile Robots via Cumulative Curriculum Reinforcement Learning
Deep reinforcement learning (DRL) has been widely applied in autonomous ...
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02/20/2023
FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification
Deep learning-based algorithms, e.g., convolutional networks, have signi...
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02/10/2023
ShapeWordNet: An Interpretable Shapelet Neural Network for Physiological Signal Classification
Physiological signals are high-dimensional time series of great practica...
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01/02/2023
Asteria-Pro: Enhancing Deep-Learning Based Binary Code Similarity Detection by Incorporating Domain Knowledge
The widespread code reuse allows vulnerabilities to proliferate among a ...
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11/09/2022
Nested Named Entity Recognition from Medical Texts: An Adaptive Shared Network Architecture with Attentive CRF
Recognizing useful named entities plays a vital role in medical informat...
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11/07/2022
Debiasing Graph Transfer Learning via Item Semantic Clustering for Cross-Domain Recommendations
Deep learning-based recommender systems may lead to over-fitting when la...
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11/05/2022
One Person, One Model–Learning Compound Router for Sequential Recommendation
Deep learning has brought significant breakthroughs in sequential recomm...
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10/24/2022
Model-based Evaluation of Driver Control Workloads in Haptic-based Driver Assistance Systems
This study presents a novel approach for modeling and simulating human-v...
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09/06/2022
Energy Management of Multi-mode Hybrid Electric Vehicles based on Hand-shaking Multi-agent Learning
The future transportation system will be a multi-agent network where con...
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08/17/2022
MoCapDeform: Monocular 3D Human Motion Capture in Deformable Scenes
3D human motion capture from monocular RGB images respecting interaction...
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08/10/2022
Benchmarking Joint Face Spoofing and Forgery Detection with Visual and Physiological Cues
Face anti-spoofing (FAS) and face forgery detection play vital roles in ...
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07/24/2022
Weakly-Supervised Temporal Action Detection for Fine-Grained Videos with Hierarchical Atomic Actions
Action understanding has evolved into the era of fine granularity, as mo...
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07/11/2022
PF4Microservices: A decomposion scheme for microservices based on Problem Frames
In recent years, microservice architecture has become a popular architec...
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05/11/2022
HULC: 3D Human Motion Capture with Pose Manifold Sampling and Dense Contact Guidance
Marker-less monocular 3D human motion capture (MoCap) with scene interac...
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05/08/2022
One-Class Knowledge Distillation for Face Presentation Attack Detection
Face presentation attack detection (PAD) has been extensively studied by...
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04/26/2022
Estimating the Resize Parameter in End-to-end Learned Image Compression
We describe a search-free resizing framework that can further improve th...
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04/18/2022
Preference Enhanced Social Influence Modeling for Network-Aware Cascade Prediction
Network-aware cascade size prediction aims to predict the final reposted...
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03/24/2022
A Preliminary Research on Space Situational Awareness Based on Event Cameras
Event camera is a new type of sensor that is different from traditional ...
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02/22/2022
Banding vs. Quality: Perceptual Impact and Objective Assessment
Staircase-like contours introduced to a video by quantization in flat ar...
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02/07/2022
ABG: A Multi-Party Mixed Protocol Framework for Privacy-Preserving Cooperative Learning
Cooperative learning, that enables two or more data owners to jointly tr...
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10/18/2021
Asymmetric Modality Translation For Face Presentation Attack Detection
Face presentation attack detection (PAD) is an essential measure to prot...
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10/13/2021
Learning Meta Pattern for Face Anti-Spoofing
Face Anti-Spoofing (FAS) is essential to secure face recognition systems...
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09/04/2021
Understanding TEE Containers, Easy to Use? Hard to Trust
As an emerging technique for confidential computing, trusted execution e...
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08/16/2021
AutoChart: A Dataset for Chart-to-Text Generation Task
The analytical description of charts is an exciting and important resear...
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05/27/2021
Estimating Fund-Raising Performance for Start-up Projects from a Market Graph Perspective
In the online innovation market, the fund-raising performance of the sta...
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05/20/2021
Convolutional Block Design for Learned Fractional Downsampling
The layers of convolutional neural networks (CNNs) can be used to alter ...
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04/08/2021
BSTC: A Large-Scale Chinese-English Speech Translation Dataset
This paper presents BSTC (Baidu Speech Translation Corpus), a large-scal...
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03/20/2021
Mining geometric constraints from crowd-sourced radio signals and its application to indoor positioning
Crowd-sourcing has become a promising way to build a feature-based indoo...
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03/10/2021
Enhancing VMAF through New Feature Integration and Model Combination
VMAF is a machine learning based video quality assessment method, origin...
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02/10/2021
Learning Skill Equivalencies Across Platform Taxonomies
Assessment and reporting of skills is a central feature of many digital ...
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02/01/2021
Direct and Indirect Communication in Multi-Human Multi-Robot Interaction
How can multiple humans interact with multiple robots? The goal of our r...
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01/26/2021
Transparency in Multi-Human Multi-Robot Interaction
Transparency is a key factor in improving the performance of human-robot...
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01/16/2021
Learning the Implicit Semantic Representation on Graph-Structured Data
Existing representation learning methods in graph convolutional networks...
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10/01/2020
Strategy for Boosting Pair Comparison and Improving Quality Assessment Accuracy
The development of rigorous quality assessment model relies on the colle...
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09/25/2020
Sequence-to-Sequence Load Disaggregation Using Multi-Scale Residual Neural Network
With the increased demand on economy and efficiency of measurement techn...
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07/03/2020
Perceptually Optimizing Deep Image Compression
Mean squared error (MSE) and ℓ_p norms have largely dominated the measur...
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04/05/2020
A Simple Model for Subject Behavior in Subjective Experiments
In a subjective experiment to evaluate the perceptual audiovisual qualit...
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03/01/2020
GPM: A Generic Probabilistic Model to Recover Annotator's Behavior and Ground Truth Labeling
In the big data era, data labeling can be obtained through crowdsourcing...
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12/14/2019
Estimating Early Fundraising Performance of Innovations via Graph-based Market Environment Model
Well begun is half done. In the crowdfunding market, the early fundraisi...
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10/19/2019
