research
∙
04/20/2023
A data augmentation perspective on diffusion models and retrieval
Diffusion models excel at generating photorealistic images from text-que...
share
research
∙
10/11/2021
You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction
Predicting the future trajectory of a moving agent can be easy when the ...
research
∙
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...
research
∙
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...
research
∙
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 ...
research
∙
08/20/2018
FusionNet and AugmentedFlowNet: Selective Proxy Ground Truth for Training on Unlabeled Images
Recent work has shown that convolutional neural networks (CNNs) can be u...
research
∙
02/20/2018
Uncertainty Estimates for Optical Flow with Multi-Hypotheses Networks
Recent work has shown that optical flow estimation can be formulated as ...
research
∙
07/03/2017