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09/20/2023
AutoSynth: Learning to Generate 3D Training Data for Object Point Cloud Registration
In the current deep learning paradigm, the amount and quality of trainin...
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12/29/2022
AttEntropy: Segmenting Unknown Objects in Complex Scenes using the Spatial Attention Entropy of Semantic Segmentation Transformers
Vision transformers have emerged as powerful tools for many computer vis...
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10/07/2021
Estimating Image Depth in the Comics Domain
Estimating the depth of comics images is challenging as such images a) a...
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08/19/2021
Generating Smooth Pose Sequences for Diverse Human Motion Prediction
Recent progress in stochastic motion prediction, i.e., predicting multip...
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04/08/2021
Robust Differentiable SVD
Eigendecomposition of symmetric matrices is at the heart of many compute...
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12/25/2020
Detecting Road Obstacles by Erasing Them
Vehicles can encounter a myriad of obstacles on the road, and it is not ...
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12/09/2020
Self-supervised Human Detection and Segmentation via Multi-view Consensus
Self-supervised detection and segmentation of foreground objects in comp...
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12/08/2020
Long Term Motion Prediction Using Keyposes
Long term human motion prediction is an essential component in safety-cr...
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11/11/2020
Self-supervised Segmentation via Background Inpainting
While supervised object detection and segmentation methods achieve impre...
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07/20/2020
GarNet++: Improving Fast and Accurate Static3D Cloth Draping by Curvature Loss
In this paper, we tackle the problem of static 3D cloth draping on virtu...
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11/27/2018
GarNet: A Two-stream Network for Fast and Accurate 3D Cloth Draping
While Physics-Based Simulation (PBS) can highly accurately drape a 3D ga...
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05/23/2018
Efficient Relaxations for Dense CRFs with Sparse Higher Order Potentials
Dense conditional random fields (CRFs) with Gaussian pairwise potentials...
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03/01/2016
Robust Multi-body Feature Tracker: A Segmentation-free Approach
Feature tracking is a fundamental problem in computer vision, with appli...
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12/13/2014
