1k citations · 2.2k across the 74 of their papers we have counts for
21 papers · 1 filter
Labeling Out-of-View Objects in Immersive Analytics to Support Situated Visual Searching
Tica Lin, Yalong Yang, Johanna Beyer +1
Augmented Reality (AR) embeds digital information into objects of the physical world. Data can be shown in-situ, thereby enabling real-time visual comparisons and object search in…
Object Propagation via Inter-Frame Attentions for Temporally Stable Video Instance Segmentation
Anirudh S Chakravarthy, Won-Dong Jang, Zudi Lin +3
Video instance segmentation aims to detect, segment, and track objects in a video. Current approaches extend image-level segmentation algorithms to the temporal domain. However, th…
PyTorch Connectomics: A Scalable and Flexible Segmentation Framework for EM Connectomics
Zudi Lin, Donglai Wei, Jeff Lichtman +1
We present PyTorch Connectomics (PyTC), an open-source deep-learning framework for the semantic and instance segmentation of volumetric microscopy images, built upon PyTorch. We de…
Three approaches to facilitate DNN generalization to objects in out-of-distribution orientations and illuminations
Akira Sakai, Taro Sunagawa, Spandan Madan +7
The training data distribution is often biased towards objects in certain orientations and illumination conditions. While humans have a remarkable capability of recognizing objects…
GenNI: Human-AI Collaboration for Data-Backed Text Generation
Hendrik Strobelt, Jambay Kinley, Robert Krueger +3
Table2Text systems generate textual output based on structured data utilizing machine learning. These systems are essential for fluent natural language interfaces in tools such as…
Scope2Screen: Focus+Context Techniques for Pathology Tumor Assessment in Multivariate Image Data
Jared Jessup, Robert Krueger, Simon Warchol +10
Inspection of tissues using a light microscope is the primary method of diagnosing many diseases, notably cancer. Highly multiplexed tissue imaging builds on this foundation, enabl…