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11/20/2022
Learning to Generate Image Embeddings with User-level Differential Privacy
Small on-device models have been successfully trained with user-level di...
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06/17/2021
DeepLab2: A TensorFlow Library for Deep Labeling
DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a ...
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12/02/2020
Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization
We introduce a novel representation learning method to disentangle pose-...
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10/23/2020
View-Invariant, Occlusion-Robust Probabilistic Embedding for Human Pose
Recognition of human poses and activities is crucial for autonomous syst...
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01/15/2020
EEV Dataset: Predicting Expressions Evoked by Diverse Videos
When we watch videos, the visual and auditory information we experience ...
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12/02/2019
View-Invariant Probabilistic Embedding for Human Pose
Depictions of similar human body configurations can vary with changing v...
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02/25/2019
FEELVOS: Fast End-to-End Embedding Learning for Video Object Segmentation
Many of the recent successful methods for video object segmentation (VOS...
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01/10/2019
Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation
Recently, Neural Architecture Search (NAS) has successfully identified n...
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09/30/2018
Modeling Uncertainty with Hedged Instance Embedding
Instance embeddings are an efficient and versatile image representation ...
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09/11/2018
Searching for Efficient Multi-Scale Architectures for Dense Image Prediction
The design of neural network architectures is an important component for...
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02/07/2018
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Spatial pyramid pooling module or encode-decoder structure are used in d...
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12/13/2017
MaskLab: Instance Segmentation by Refining Object Detection with Semantic and Direction Features
In this work, we tackle the problem of instance segmentation, the task o...
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06/17/2017
Rethinking Atrous Convolution for Semantic Image Segmentation
In this work, we revisit atrous convolution, a powerful tool to explicit...
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03/12/2015
