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07/18/2023
Quantivine: A Visualization Approach for Large-scale Quantum Circuit Representation and Analysis
Quantum computing is a rapidly evolving field that enables exponential s...
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05/29/2023
An Emergency Disposal Decision-making Method with Human–Machine Collaboration
Rapid developments in artificial intelligence technology have led to unm...
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05/29/2023
Emergent Incident Response for Unmanned Warehouses with Multi-agent Systems*
Unmanned warehouses are an important part of logistics, and improving th...
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02/03/2023
Spectral Aware Softmax for Visible-Infrared Person Re-Identification
Visible-infrared person re-identification (VI-ReID) aims to match specif...
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11/13/2022
Long-Range Zero-Shot Generative Deep Network Quantization
Quantization approximates a deep network model with floating-point numbe...
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11/09/2022
NoiSER: Noise is All You Need for Enhancing Low-Light Images Without Task-Related Data
This paper is about an extraordinary phenomenon. Suppose we don't use an...
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11/04/2022
OSIC: A New One-Stage Image Captioner Coined
Mainstream image caption models are usually two-stage captioners, i.e., ...
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10/06/2022
Focal and Global Spatial-Temporal Transformer for Skeleton-based Action Recognition
Despite great progress achieved by transformer in various vision tasks, ...
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10/03/2022
TraInterSim: Adaptive and Planning-Aware Hybrid-Driven Traffic Intersection Simulation
Traffic intersections are important scenes that can be seen almost every...
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10/02/2022
Seeing Through The Noisy Dark: Toward Real-world Low-Light Image Enhancement and Denoising
Images collected in real-world low-light environment usually suffer from...
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09/28/2022
Revealing the Semantics of Data Wrangling Scripts With COMANTICS
Data workers usually seek to understand the semantics of data wrangling ...
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09/21/2022
FT-HID: A Large Scale RGB-D Dataset for First and Third Person Human Interaction Analysis
Analysis of human interaction is one important research topic of human m...
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07/21/2022
D2-TPred: Discontinuous Dependency for Trajectory Prediction under Traffic Lights
A profound understanding of inter-agent relationships and motion behavio...
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04/16/2022
FCL-GAN: A Lightweight and Real-Time Baseline for Unsupervised Blind Image Deblurring
Blind image deblurring (BID) remains a challenging and significant task....
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03/24/2022
Towards Efficient and Elastic Visual Question Answering with Doubly Slimmable Transformer
Transformer-based approaches have shown great success in visual question...
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03/19/2022
Decision-making of Emergent Incident based on P-MADDPG
In recent years, human casualties and damage to resources caused by emer...
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03/08/2022
Multi-Agent Broad Reinforcement Learning for Intelligent Traffic Light Control
Intelligent Traffic Light Control System (ITLCS) is a typical Multi-Agen...
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12/20/2021
Dynamic Hypergraph Convolutional Networks for Skeleton-Based Action Recognition
Graph convolutional networks (GCNs) based methods have achieved advanced...
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12/05/2021
SSAGCN: Social Soft Attention Graph Convolution Network for Pedestrian Trajectory Prediction
Pedestrian trajectory prediction is an important technique of autonomous...
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11/13/2021
A Central Difference Graph Convolutional Operator for Skeleton-Based Action Recognition
This paper proposes a new graph convolutional operator called central di...
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10/14/2021
Contrastive Proposal Extension with LSTM Network for Weakly Supervised Object Detection
Weakly supervised object detection (WSOD) has attracted more and more at...
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06/15/2021
Zero-sample surface defect detection and classification based on semantic feedback neural network
Defect detection and classification technology has changed from traditio...
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06/14/2021
User-Guided Personalized Image Aesthetic Assessment based on Deep Reinforcement Learning
Personalized image aesthetic assessment (PIAA) has recently become a hot...
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06/10/2021
A self-adapting super-resolution structures framework for automatic design of GAN
With the development of deep learning, the single super-resolution image...
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06/10/2021
Super-Resolution Image Reconstruction Based on Self-Calibrated Convolutional GAN
With the effective application of deep learning in computer vision, brea...
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04/29/2021
Antagonistic Crowd Simulation Model Integrating Emotion Contagion and Deep Reinforcement Learning
The antagonistic behavior of the crowd often exacerbates the seriousness...
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04/18/2021
Lottery Jackpots Exist in Pre-trained Models
Network pruning is an effective approach to reduce network complexity wi...
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03/30/2021
Revisiting Deep Local Descriptor for Improved Few-Shot Classification
Few-shot classification studies the problem of quickly adapting a deep l...
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03/18/2021
Human-Oriented Autonomous Traffic Simulation
We present an innovative framework, Crowdsourcing Autonomous Traffic Sim...
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03/15/2021
Automatic Generation of Large-scale 3D Road Networks based on GIS Data
How to automatically generate a realistic large-scale 3D road network is...
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02/26/2021
Multi-Agent Path Planning based on MPC and DDPG
The problem of mixed static and dynamic obstacle avoidance is essential ...
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02/20/2021
Hybrid-driven Trajectory Prediction Based on Group Emotion
We present a hybrid-driven trajectory prediction method based on group e...
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02/16/2021
SiMaN: Sign-to-Magnitude Network Binarization
Binary neural networks (BNNs) have attracted broad research interest due...
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01/26/2021
Probability Trajectory: One New Movement Description for Trajectory Prediction
Trajectory prediction is a fundamental and challenging task for numerous...
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01/05/2021
Trear: Transformer-based RGB-D Egocentric Action Recognition
In this paper, we propose a Transformer-based RGB-D egocentric action re...
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11/17/2020
Learning Efficient GANs via Differentiable Masks and co-Attention Distillation
Generative Adversarial Networks (GANs) have been widely-used in image tr...
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11/16/2020
An End-to-end Method for Producing Scanning-robust Stylized QR Codes
Quick Response (QR) code is one of the most worldwide used two-dimension...
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08/25/2020
Towards Better Bus Networks: A Visual Analytics Approach
Bus routes are typically updated every 3-5 years to meet constantly chan...
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07/30/2020
ConceptExplorer: Visual Analysis of Concept Driftsin Multi-source Time-series Data
Time-series data is widely studied in various scenarios, like weather fo...
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03/31/2020
BANet: Bidirectional Aggregation Network with Occlusion Handling for Panoptic Segmentation
Panoptic segmentation aims to perform instance segmentation for foregrou...
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03/02/2020
A Systematic Literature Review of Modern Software Visualization
We report on the state-of-the-art of software visualization. To ensure r...
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12/09/2019
Reinforcement Learning based Visual Navigation with Information-Theoretic Regularization
We present a target-driven navigation approach for improving the cross-t...
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11/01/2019
Personality-Aware Probabilistic Map for Trajectory Prediction of Pedestrians
We present a novel trajectory prediction algorithm for pedestrians based...
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09/24/2019
Multi-scale discriminative Region Discovery for Weakly-Supervised Object Localization
Localizing objects with weak supervision in an image is a key problem of...
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08/01/2019
A Natural-language-based Visual Query Approach of Uncertain Human Trajectories
Visual querying is essential for interactively exploring massive traject...
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07/09/2019
Adaptive Exploration for Unsupervised Person Re-Identification
Due to domain bias, directly deploying a deep person re-identification (...
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01/31/2019
ACSEE: Antagonistic Crowd Simulation model with Emotional contagion and Evolutionary game
Antagonistic crowd behaviors are often observed in cases of serious conf...
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01/23/2019
Predicting the Results of LTL Model Checking using Multiple Machine Learning Algorithms
In this paper, we study how to predict the results of LTL model checking...
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08/21/2018
Abnormal Event Detection and Location for Dense Crowds using Repulsive Forces and Sparse Reconstruction
This paper proposes a method based on repulsive forces and sparse recons...
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05/03/2018