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04/19/2023
Investigating the Nature of 3D Generalization in Deep Neural Networks
Visual object recognition systems need to generalize from a set of 2D tr...
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07/10/2021
Identifying Layers Susceptible to Adversarial Attacks
Common neural network architectures are susceptible to attack by adversa...
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01/26/2021
Automatic Curation of Large-Scale Datasets for Audio-Visual Representation Learning
Large-scale datasets are the cornerstone of self-supervised representati...
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12/08/2020
Parameter Efficient Multimodal Transformers for Video Representation Learning
The recent success of Transformers in the language domain has motivated ...
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12/01/2020
Displacement-Invariant Cost Computation for Efficient Stereo Matching
Although deep learning-based methods have dominated stereo matching lead...
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01/07/2020
Discovering Nonlinear Relations with Minimum Predictive Information Regularization
Identifying the underlying directional relations from observational time...
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01/07/2020
High Performance I/O For Large Scale Deep Learning
Training deep learning (DL) models on petascale datasets is essential fo...
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04/26/2018
IamNN: Iterative and Adaptive Mobile Neural Network for Efficient Image Classification
Deep residual networks (ResNets) made a recent breakthrough in deep lear...
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04/25/2018
Hand Pose Estimation via Latent 2.5D Heatmap Regression
Estimating the 3D pose of a hand is an essential part of human-computer ...
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03/02/2017
Unsupervised Image-to-Image Translation Networks
Unsupervised image-to-image translation aims at learning a joint distrib...
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10/29/2016
Sequence-to-sequence neural network models for transliteration
Transliteration is a key component of machine translation systems and so...
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03/15/2016
Combining the Best of Convolutional Layers and Recurrent Layers: A Hybrid Network for Semantic Segmentation
State-of-the-art results of semantic segmentation are established by Ful...
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09/18/2010
