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09/01/2023
Object-Centric Multiple Object Tracking
Unsupervised object-centric learning methods allow the partitioning of s...
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08/22/2023
MEGA: Multimodal Alignment Aggregation and Distillation For Cinematic Video Segmentation
Previous research has studied the task of segmenting cinematic videos in...
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09/05/2019
Semantic Correlation Promoted Shape-Variant Context for Segmentation
Context is essential for semantic segmentation. Due to the diverse shape...
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01/17/2019
Scale-Aware Attention Network for Crowd Counting
In crowd counting datasets, people appear at different scales, depending...
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10/19/2018
Improving Fast Segmentation With Teacher-student Learning
Recently, segmentation neural networks have been significantly improved ...
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03/13/2018
Multimodal Recurrent Neural Networks with Information Transfer Layers for Indoor Scene Labeling
This paper proposes a new method called Multimodal RNNs for RGB-D scene ...
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11/28/2016
Improving Fully Convolution Network for Semantic Segmentation
Fully Convolution Networks (FCN) have achieved great success in dense pr...
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07/28/2016
A Siamese Long Short-Term Memory Architecture for Human Re-Identification
Matching pedestrians across multiple camera views known as human re-iden...
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04/20/2016
Scene Parsing with Integration of Parametric and Non-parametric Models
We adopt Convolutional Neural Networks (CNNs) to be our parametric model...
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12/22/2015
Recent Advances in Convolutional Neural Networks
In the last few years, deep learning has led to very good performance on...
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09/13/2015
Learning Contextual Dependencies with Convolutional Hierarchical Recurrent Neural Networks
Existing deep convolutional neural networks (CNNs) have shown their grea...
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09/02/2015
