Weekly Gathering for
Vision Researchers and Enthusiasts
11:30 am- 12:30 pm, 32-D507
Speaker: Jian Chen, Assistant Professor from The Ohio State University
Time: 11:30 am to 12:30 pm
Date: Tuesday, Nov.28, 2017
Visualization is a pervasive aspect of what we see in vision. While each group of visualization and vision communities addresses separate tasks (feature identification and segmentation in computer vision, understanding low-level vision through psychophysical experimentation and modeling, and displaying information with patterns in visualization), my work focuses on using vision theory to study the essential human activities of seeing in visualization and its coupling with gestures and exploration in natural interfaces.
In this talk, I will first present perceptually accurate ensemble visualization inspired by vision science. I show the visual dimensions that make up visual patterns in ensembles. We can harness the ensemble texture and color features to produce visualizations to let users rapidly analyze the resulting patterns in complex quantum physics simulations and brain imagining tools. I will then discuss a new visualization interface that can become a space to augment human thinking during visual data exploration. This technique has been applied to bat flight analysis for integrated workflow of computing, visualization, and exploration. I will close with an on-going project in collaboration with Dr. Jeremy Wolfe at Harvard Medical school on automating the cancerous tissue detection from mammograms using Convolutional Neural Networks (CNNs), that has the potential to be developed in full and that its success will be critical to yield accurate visual detection.
Dr. Jian Chen is an Assistant Professor in the Department of Computer Science and Engineering at The Ohio State University (OSU), where she leads the Interactive Visual Computing Lab (http://web.cse.ohio-state.edu/~chen.8028/OSUHVCL). She maintains general research interests in the design and evaluation of visualizations (encoding of spatially complex brain imaging, integrating spatial and non-spatial data, perceptually accurate visualization, and event analysis) and interaction (exploring large biological pathways, immersive modeling, embodiment, and gesture input). She has garnered best-paper awards at international conferences, and her work is funded by NSF, NIST, and DoD. She was also a former teaching innovation fellow at the University of Maryland Baltimore County (UMBC) and a co-chair of the first international workshop on the emergent field of Immersive Analytics at IEEE Virtual Reality conference. Chen did her post-doctoral research with Dr. David H. Laidlaw at the Department of Computer Science at Brown University. She received her Ph.D. degree in Computer Science from Virginia Tech with Dr. Doug A. Bowman. To learn more about Dr. Jian Chen’s publications, please visit her google scholar page:https://tinyurl.com/ydhed3zp.