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10/14/2022
Meta Transferring for Deblurring
Most previous deblurring methods were built with a generic model trained...
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04/10/2022
Stripformer: Strip Transformer for Fast Image Deblurring
Images taken in dynamic scenes may contain unwanted motion blur, which s...
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01/19/2021
BANet: Blur-aware Attention Networks for Dynamic Scene Deblurring
Image motion blur usually results from moving objects or camera shakes. ...
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12/06/2020
MVHM: A Large-Scale Multi-View Hand Mesh Benchmark for Accurate 3D Hand Pose Estimation
Estimating 3D hand poses from a single RGB image is challenging because ...
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12/06/2020
Temporal-Aware Self-Supervised Learning for 3D Hand Pose and Mesh Estimation in Videos
Estimating 3D hand pose directly from RGB imagesis challenging but has g...
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12/06/2020
DGGAN: Depth-image Guided Generative Adversarial Networks for Disentangling RGB and Depth Images in 3D Hand Pose Estimation
Estimating3D hand poses from RGB images is essentialto a wide range of p...
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10/02/2020
MM-Hand: 3D-Aware Multi-Modal Guided Hand Generative Network for 3D Hand Pose Synthesis
Estimating the 3D hand pose from a monocular RGB image is important but ...
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04/13/2020
Regularizing Meta-Learning via Gradient Dropout
With the growing attention on learning-to-learn new tasks using only a f...
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03/31/2020
Deep Semantic Matching with Foreground Detection and Cycle-Consistency
Establishing dense semantic correspondences between object instances rem...
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02/19/2020
Cross-Resolution Adversarial Dual Network for Person Re-Identification and Beyond
Person re-identification (re-ID) aims at matching images of the same per...
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01/09/2020
CrDoCo: Pixel-level Domain Transfer with Cross-Domain Consistency
Unsupervised domain adaptation algorithms aim to transfer the knowledge ...
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10/10/2019
Referring Expression Object Segmentation with Caption-Aware Consistency
Referring expressions are natural language descriptions that identify a ...
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08/16/2019
Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification
Person re-identification (re-ID) aims at matching images of the same ide...
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06/13/2019
Show, Match and Segment: Joint Learning of Semantic Matching and Object Co-segmentation
We present an approach for jointly matching and segmenting object instan...
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01/08/2019
Unseen Object Segmentation in Videos via Transferable Representations
In order to learn object segmentation models in videos, conventional met...
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11/25/2018
Learning Conditional Random Fields with Augmented Observations for Partially Observed Action Recognition
This paper aims at recognizing partially observed human actions in video...
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11/25/2018
Generating Realistic Training Images Based on Tonality-Alignment Generative Adversarial Networks for Hand Pose Estimation
Hand pose estimation from a monocular RGB image is an important but chal...
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02/22/2018
Adversarial Learning for Semi-Supervised Semantic Segmentation
We propose a method for semi-supervised semantic segmentation using the ...
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12/13/2014