Candidate Papers

IEEE VIS 2023

• Fast Compressed Segmentation Volumes for Scientific Visualization

• Vortex Lens: Interactive Vortex Core Line Extraction using Observed Line Integral Convolution

• Guided Visual Analytics for Image Selection in Time and Space 

• An Image-based Exploration and Query System for Large Visualization Collections via Neural Image Embedding 

• Image Collage on Arbitrary Shape via Shape-Aware Slicing and Optimization 

• VisImages: A Fine-Grained Expert-Annotated Visualization Dataset 

• A Unified Interactive Model Evaluation for Classification, Object Detection, and Instance Segmentation in Computer Vision 

• VideoPro: A Visual Analytics Approach for Interactive Video Programming

• Character-Oriented Design for Visual Data Storytelling

• EVNet: An Explainable Deep Network for Dimension Reduction

• Narrative In Situ Visual Analysis for Large-Scale Ocean Eddy Evolution 

• Technology Trends and Challenges for Large-Scale Scientific Visualization

• PhraseMap: Attention-based Keyphrases Recommendation for Information Seeking

• AttentionViz: A Global View of Transformer Attention

• Visual Explanation for Open-domain Question Answering with BERT 

• CommonsenseVIS: Visualizing and Understanding Commonsense Reasoning Capabilities of Natural Language Models

• PromptMagician: Interactive Prompt Engineering for Text-to-Image Creation

• DMiner: Dashboard Design Mining and Recommendation

• LiberRoad: Probing into the Journey of Chinese Classics through Visual Analytics

• HoopInSight: Analyzing and Comparing Basketball Shooting Performance Through Visualization

• Analysis of Wildfire Visualization Systems for Research and Training: Are They up for the Challenge of the Current State of Wildfires?

• DocFlow: A Visual Analytics System for Question-based Document Retrieval and Categorization

• CoordNet: Data Generation and Visualization Generation for Time-Varying Volumes via a Coordinate-Based Neural Network

• Deep Hierarchical Super Resolution for Scientific Data

• Interactive Volume Visualization via Multi-Resolution Hash Encoding based Neural Representation

• Adaptively Placed Multi-Grid Scene Representation Networks for Large-Scale Data Visualization

• Photon Field Networks for Dynamic Real-Time Volumetric Global Illumination

• PSRFlow: Probabilistic Super Resolution with Flow-Based Models for Scientific Data