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06/24/2023
Thinking Like an Annotator: Generation of Dataset Labeling Instructions
Large-scale datasets are essential to modern day deep learning. Advocate...
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04/18/2023
Fast Neural Scene Flow
Scene flow is an important problem as it provides low-level motion cues ...
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03/27/2023
Learning to Zoom and Unzoom
Many perception systems in mobile computing, autonomous navigation, and ...
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03/25/2023
SUDS: Scalable Urban Dynamic Scenes
We extend neural radiance fields (NeRFs) to dynamic large-scale urban sc...
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01/31/2023
Priors are Powerful: Improving a Transformer for Multi-camera 3D Detection with 2D Priors
Transfomer-based approaches advance the recent development of multi-came...
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01/10/2023
Pix2Map: Cross-modal Retrieval for Inferring Street Maps from Images
Self-driving vehicles rely on urban street maps for autonomous navigatio...
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11/25/2022
Far3Det: Towards Far-Field 3D Detection
We focus on the task of far-field 3D detection (Far3Det) of objects beyo...
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02/23/2022
Flat latent manifolds for music improvisation between human and machine
The use of machine learning in artistic music generation leads to contro...
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02/12/2020
Learning Flat Latent Manifolds with VAEs
Measuring the similarity between data points often requires domain knowl...
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08/01/2019
Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation
We present a sampling-free approach for computing the epistemic uncertai...
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12/19/2018
