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08/12/2020
Representative Graph Neural Network
Non-local operation is widely explored to model the long-range dependenc...
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03/07/2020
Crowd Counting via Hierarchical Scale Recalibration Network
The task of crowd counting is extremely challenging due to complicated d...
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02/26/2020
Efficient Semantic Video Segmentation with Per-frame Inference
In semantic segmentation, most existing real-time deep models trained wi...
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02/03/2020
DiverseDepth: Affine-invariant Depth Prediction Using Diverse Data
We present a method for depth estimation with monocular images, which ca...
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09/05/2019
Training Compact Neural Networks via Auxiliary Overparameterization
It is observed that overparameterization (i.e., designing neural network...
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08/11/2019
MobileFAN: Transferring Deep Hidden Representation for Face Alignment
Facial landmark detection is a crucial prerequisite for many face analys...
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07/29/2019
Enforcing geometric constraints of virtual normal for depth prediction
Monocular depth prediction plays a crucial role in understanding 3D scen...
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03/11/2019
Structured Knowledge Distillation for Semantic Segmentation
In this paper, we investigate the knowledge distillation strategy for tr...
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11/01/2018
Pixel Level Data Augmentation for Semantic Image Segmentation using Generative Adversarial Networks
Semantic segmentation is one of the basic topics in computer vision, it ...
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11/02/2017
Data Augmentation in Emotion Classification Using Generative Adversarial Networks
It is a difficult task to classify images with multiple class labels usi...
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05/09/2017
Logical Parsing from Natural Language Based on a Neural Translation Model
Semantic parsing has emerged as a significant and powerful paradigm for ...
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05/04/2017