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08/29/2023
Uncovering the Unseen: Discover Hidden Intentions by Micro-Behavior Graph Reasoning
This paper introduces a new and challenging Hidden Intention Discovery (...
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08/21/2023
Color Prompting for Data-Free Continual Unsupervised Domain Adaptive Person Re-Identification
Unsupervised domain adaptive person re-identification (Re-ID) methods al...
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07/21/2023
Affective Affordance of Message Balloon Animations: An Early Exploration of AniBalloons
We introduce the preliminary exploration of AniBalloons, a novel form of...
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07/11/2023
RoPDA: Robust Prompt-based Data Augmentation for Low-Resource Named Entity Recognition
Data augmentation has been widely used in low-resource NER tasks to tack...
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05/27/2023
GIMM: InfoMin-Max for Automated Graph Contrastive Learning
Graph contrastive learning (GCL) shows great potential in unsupervised g...
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04/22/2023
Single-stage Multi-human Parsing via Point Sets and Center-based Offsets
This work studies the multi-human parsing problem. Existing methods, eit...
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04/05/2023
Gradient Attention Balance Network: Mitigating Face Recognition Racial Bias via Gradient Attention
Although face recognition has made impressive progress in recent years, ...
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03/09/2023
Quantum memory error correction computation based on Chamon model
Quantum error correction codes play a central role in the realisation of...
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03/07/2023
Collaboration with Conversational AI Assistants for UX Evaluation: Questions and How to Ask them (Voice vs. Text)
AI is promising in assisting UX evaluators with analyzing usability test...
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02/18/2023
Attribute-Specific Manipulation Based on Layer-Wise Channels
Image manipulation on the latent space of the pre-trained StyleGAN can c...
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01/25/2023
Discriminative Experience Replay for Efficient Multi-agent Reinforcement Learning
In cooperative multi-agent tasks, parameter sharing among agents is a co...
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11/29/2022
AdvMask: A Sparse Adversarial Attack Based Data Augmentation Method for Image Classification
Data augmentation is a widely used technique for enhancing the generaliz...
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11/21/2022
Neural Dependencies Emerging from Learning Massive Categories
This work presents two astonishing findings on neural networks learned f...
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10/31/2022
DanZero: Mastering GuanDan Game with Reinforcement Learning
Card game AI has always been a hot topic in the research of artificial i...
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10/08/2022
AdaptivePose++: A Powerful Single-Stage Network for Multi-Person Pose Regression
Multi-person pose estimation generally follows top-down and bottom-up pa...
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08/27/2022
CodeToon: Story Ideation, Auto Comic Generation, and Structure Mapping for Code-Driven Storytelling
Recent work demonstrated how we can design and use coding strips, a form...
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07/21/2022
AugRmixAT: A Data Processing and Training Method for Improving Multiple Robustness and Generalization Performance
Deep neural networks are powerful, but they also have shortcomings such ...
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06/25/2022
RSTAM: An Effective Black-Box Impersonation Attack on Face Recognition using a Mobile and Compact Printer
Face recognition has achieved considerable progress in recent years than...
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06/21/2022
Review Neural Networks about Image Transformation Based on IGC Learning Framework with Annotated Information
Image transformation, a class of vision and graphics problems whose goal...
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05/18/2022
RandomMix: A mixed sample data augmentation method with multiple mixed modes
Data augmentation is a very practical technique that can be used to impr...
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05/07/2022
Multi-Target Active Object Tracking with Monte Carlo Tree Search and Target Motion Modeling
In this work, we are dedicated to multi-target active object tracking (A...
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05/05/2022
LDSA: Learning Dynamic Subtask Assignment in Cooperative Multi-Agent Reinforcement Learning
Cooperative multi-agent reinforcement learning (MARL) has made prominent...
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04/19/2022
Image Data Augmentation for Deep Learning: A Survey
Deep learning has achieved remarkable results in many computer vision ta...
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04/06/2022
DouZero+: Improving DouDizhu AI by Opponent Modeling and Coach-guided Learning
Recent years have witnessed the great breakthrough of deep reinforcement...
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03/27/2022
Thin-Plate Spline Motion Model for Image Animation
Image animation brings life to the static object in the source image acc...
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03/18/2022
AutoAdversary: A Pixel Pruning Method for Sparse Adversarial Attack
Deep neural networks (DNNs) have been proven to be vulnerable to adversa...
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03/16/2022
Coach-assisted Multi-Agent Reinforcement Learning Framework for Unexpected Crashed Agents
Multi-agent reinforcement learning is difficult to be applied in practic...
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03/16/2022
CTDS: Centralized Teacher with Decentralized Student for Multi-Agent Reinforcement Learning
Due to the partial observability and communication constraints in many m...
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03/07/2022
MSDN: Mutually Semantic Distillation Network for Zero-Shot Learning
The key challenge of zero-shot learning (ZSL) is how to infer the latent...
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02/22/2022
Coordinate-Aligned Multi-Camera Collaboration for Active Multi-Object Tracking
Active Multi-Object Tracking (AMOT) is a task where cameras are controll...
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02/21/2022
DQMIX: A Distributional Perspective on Multi-Agent Reinforcement Learning
In cooperative multi-agent tasks, a team of agents jointly interact with...
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02/09/2022
Revisiting QMIX: Discriminative Credit Assignment by Gradient Entropy Regularization
In cooperative multi-agent systems, agents jointly take actions and rece...
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12/27/2021
VibEmoji: Exploring User-authoring Multi-modal Emoticons in Social Communication
Emoticons are indispensable in online communications. With users' growin...
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12/23/2021
Human-AI Collaboration for UX Evaluation: Effects of Explanation and Synchronization
Analyzing usability test videos is arduous. Although recent research sho...
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12/16/2021
TransZero++: Cross Attribute-Guided Transformer for Zero-Shot Learning
Zero-shot learning (ZSL) tackles the novel class recognition problem by ...
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12/15/2021
EDAssistant: Supporting Exploratory Data Analysis in Computational Notebooks with In-Situ Code Search and Recommendation
Using computational notebooks (e.g., Jupyter Notebook), data scientists ...
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09/29/2021
Exploring Individual and Collaborative Storytelling in an Introductory Creative Coding Class
Teaching programming through storytelling is a popular pedagogical appro...
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08/25/2021
Evaluating Effects of Background Stories on Graph Perception
A graph is an abstract model that represents relations among entities, f...
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08/10/2021
Towards A Systematic Discussion of Missingness in Visual Analytics
Data-driven decision making has been a common task in today's big data e...
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08/02/2021
SightBi: Exploring Cross-View Data Relationships with Biclusters
Multiple-view visualization (MV) has been heavily used in visual analysi...
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07/22/2021
Designing Mobile EEG Neurofeedback Games for Children with Autism: Implications from Industry Practice
Neurofeedback games are an effective and playful approach to enhance cer...
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07/19/2021
Face.evoLVe: A High-Performance Face Recognition Library
In this paper, we develop face.evoLVe – a comprehensive library that col...
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07/07/2021
Group Sampling for Unsupervised Person Re-identification
Unsupervised person re-identification (re-ID) remains a challenging task...
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06/29/2021
Interactive Dimensionality Reduction for Comparative Analysis
Finding the similarities and differences between groups of datasets is a...
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06/13/2021
SASICM A Multi-Task Benchmark For Subtext Recognition
Subtext is a kind of deep semantics which can be acquired after one or m...
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05/31/2021
Image-to-Video Generation via 3D Facial Dynamics
We present a versatile model, FaceAnime, for various video generation ta...
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05/07/2021
Faster and Simpler Siamese Network for Single Object Tracking
Single object tracking (SOT) is currently one of the most important task...
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03/06/2021
ChartStory: Automated Partitioning, Layout, and Captioning of Charts into Comic-Style Narratives
Visual data storytelling is gaining importance as a means of presenting ...
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02/06/2021
IC Networks: Remodeling the Basic Unit for Convolutional Neural Networks
Convolutional neural network (CNN) is a class of artificial neural netwo...
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02/03/2021
