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09/03/2023
Diffusion Models with Deterministic Normalizing Flow Priors
For faster sampling and higher sample quality, we propose DiNof (Diffusi...
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08/31/2023
Multiscale Residual Learning of Graph Convolutional Sequence Chunks for Human Motion Prediction
A new method is proposed for human motion prediction by learning tempora...
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05/16/2023
Diffusion Dataset Generation: Towards Closing the Sim2Real Gap for Pedestrian Detection
We propose a method that augments a simulated dataset using diffusion mo...
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10/14/2022
Keypoint Cascade Voting for Point Cloud Based 6DoF Pose Estimation
We propose a novel keypoint voting 6DoF object pose estimation method, w...
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07/14/2022
ObjectBox: From Centers to Boxes for Anchor-Free Object Detection
We present ObjectBox, a novel single-stage anchor-free and highly genera...
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02/21/2022
Multiscale Crowd Counting and Localization By Multitask Point Supervision
We propose a multitask approach for crowd counting and person localizati...
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06/12/2021
Multistream ValidNet: Improving 6D Object Pose Estimation by Automatic Multistream Validation
This work presents a novel approach to improve the results of pose estim...
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04/24/2021
Oriented Bounding Boxes for Small and Freely Rotated Objects
A novel object detection method is presented that handles freely rotated...
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04/09/2021
Flow-based Autoregressive Structured Prediction of Human Motion
A new method is proposed for human motion predition by learning temporal...
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04/06/2021