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07/05/2023
Facing off World Model Backbones: RNNs, Transformers, and S4
World models are a fundamental component in model-based reinforcement le...
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04/02/2023
Constructive Assimilation: Boosting Contrastive Learning Performance through View Generation Strategies
Transformations based on domain expertise (expert transformations), such...
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03/20/2023
Object-Centric Slot Diffusion
Despite remarkable recent advances, making object-centric learning work ...
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11/30/2022
Rethinking Disparity: A Depth Range Free Multi-View Stereo Based on Disparity
Existing learning-based multi-view stereo (MVS) methods rely on the dept...
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08/29/2022
SphereDepth: Panorama Depth Estimation from Spherical Domain
The panorama image can simultaneously demonstrate complete information o...
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10/27/2021
DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations
Top-performing Model-Based Reinforcement Learning (MBRL) agents, such as...
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06/11/2020
Learning to Infer 3D Object Models from Images
A crucial ability of human intelligence is to build up models of individ...
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01/08/2020
SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition
The ability to decompose complex multi-object scenes into meaningful abs...
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12/20/2019
IRS: A Large Synthetic Indoor Robotics Stereo Dataset for Disparity and Surface Normal Estimation
Indoor robotics localization, navigation and interaction heavily rely on...
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10/21/2019
Generative Hierarchical Models for Parts, Objects, and Scenes
Compositional structures between parts and objects are inherent in natur...
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07/01/2019
Understanding Fault Scenarios and Impacts through Fault Injection Experiments in Cielo
We present a set of fault injection experiments performed on the ACES (L...
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09/11/2018
