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11/30/2022
MVRackLay: Monocular Multi-View Layout Estimation for Warehouse Racks and Shelves
In this paper, we propose and showcase, for the first time, monocular mu...
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09/29/2022
Contrastive Unsupervised Learning of World Model with Invariant Causal Features
In this paper we present a world model, which learns causal features usi...
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07/07/2022
Flow Synthesis Based Visual Servoing Frameworks for Monocular Obstacle Avoidance Amidst High-Rises
We propose a novel flow synthesis based visual servoing framework enabli...
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10/20/2020
Action-Conditional Recurrent Kalman Networks For Forward and Inverse Dynamics Learning
Estimating accurate forward and inverse dynamics models is a crucial com...
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03/08/2020
DFVS: Deep Flow Guided Scene Agnostic Image Based Visual Servoing
Existing deep learning based visual servoing approaches regress the rela...
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05/17/2019
Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces
In order to integrate uncertainty estimates into deep time-series modell...
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03/10/2018
Combining Method of Alternating Projections and Augmented Lagrangian for Task Constrained Trajectory Optimization
Motion planning for manipulators under task space constraints is difficu...
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06/10/2017