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12/16/2021
Search for temporal cell segmentation robustness in phase-contrast microscopy videos
Studying cell morphology changes in time is critical to understanding ce...
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03/23/2021
On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors
Predicting the states of dynamic traffic actors into the future is impor...
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11/20/2020
Recovering the Imperfect: Cell Segmentation in the Presence of Dynamically Localized Proteins
Deploying off-the-shelf segmentation networks on biomedical data has bec...
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06/08/2020
Multimodal Future Localization and Emergence Prediction for Objects in Egocentric View with a Reachability Prior
In this paper, we investigate the problem of anticipating future dynamic...
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12/11/2019
Parting with Illusions about Deep Active Learning
Active learning aims to reduce the high labeling cost involved in traini...
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06/09/2019
Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction
Future prediction is a fundamental principle of intelligence that helps ...
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05/09/2019
Learning Representations for Predicting Future Activities
Foreseeing the future is one of the key factors of intelligence. It invo...
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02/20/2018
Uncertainty Estimates for Optical Flow with Multi-Hypotheses Networks
Recent work has shown that optical flow estimation can be formulated as ...
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06/21/2016
