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09/03/2023
FusionAI: Decentralized Training and Deploying LLMs with Massive Consumer-Level GPUs
The rapid growth of memory and computation requirements of large languag...
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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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07/20/2022
EASNet: Searching Elastic and Accurate Network Architecture for Stereo Matching
Recent advanced studies have spent considerable human efforts on optimiz...
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10/06/2021
FADNet++: Real-Time and Accurate Disparity Estimation with Configurable Networks
Deep neural networks (DNNs) have achieved great success in the area of c...
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03/24/2020
FADNet: A Fast and Accurate Network for Disparity Estimation
Deep neural networks (DNNs) have achieved great success in the area of c...
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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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11/20/2019
Layer-wise Adaptive Gradient Sparsification for Distributed Deep Learning with Convergence Guarantees
To reduce the long training time of large deep neural network (DNN) mode...
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09/15/2019
Performance and Power Evaluation of AI Accelerators for Training Deep Learning Models
Deep neural networks (DNNs) have become widely used in many AI applicati...
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08/02/2019
AutoML: A Survey of the State-of-the-Art
Deep learning has penetrated all aspects of our lives and brought us gre...
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01/14/2019