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09/19/2023
Sample-adaptive Augmentation for Point Cloud Recognition Against Real-world Corruptions
Robust 3D perception under corruption has become an essential task for t...
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02/06/2023
RDFNet: Regional Dynamic FISTA-Net for Spectral Snapshot Compressive Imaging
Deep convolutional neural networks have recently shown promising results...
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12/18/2022
Automated Optical Inspection of FAST's Reflector Surface using Drones and Computer Vision
The Five-hundred-meter Aperture Spherical radio Telescope (FAST) is the ...
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11/22/2022
Dynamic Loss For Robust Learning
Label noise and class imbalance commonly coexist in real-world data. Pre...
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09/22/2022
FusionRCNN: LiDAR-Camera Fusion for Two-stage 3D Object Detection
3D object detection with multi-sensors is essential for an accurate and ...
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01/26/2022
RTNet: Relation Transformer Network for Diabetic Retinopathy Multi-lesion Segmentation
Automatic diabetic retinopathy (DR) lesions segmentation makes great sen...
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12/30/2021
Delving into Sample Loss Curve to Embrace Noisy and Imbalanced Data
Corrupted labels and class imbalance are commonly encountered in practic...
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11/28/2021
PAPooling: Graph-based Position Adaptive Aggregation of Local Geometry in Point Clouds
Fine-grained geometry, captured by aggregation of point features in loca...
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10/15/2021
Pyramid Correlation based Deep Hough Voting for Visual Object Tracking
Most of the existing Siamese-based trackers treat tracking problem as a ...
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04/30/2021
Updatable Siamese Tracker with Two-stage One-shot Learning
Offline Siamese networks have achieved very promising tracking performan...
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09/11/2020
Attribute-conditioned Layout GAN for Automatic Graphic Design
Modeling layout is an important first step for graphic design. Recently,...
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01/19/2020
Human-Aware Motion Deblurring
This paper proposes a human-aware deblurring model that disentangles the...
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01/21/2019
LayoutGAN: Generating Graphic Layouts with Wireframe Discriminators
Layout is important for graphic design and scene generation. We propose ...
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07/03/2018
Stochastic Channel Decorrelation Network and Its Application to Visual Tracking
Deep convolutional neural networks (CNNs) have dominated many computer v...
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03/09/2018
Deep Semantic Face Deblurring
In this paper, we present an effective and efficient face deblurring alg...
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06/16/2017
Perceptual Generative Adversarial Networks for Small Object Detection
Detecting small objects is notoriously challenging due to their low reso...
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08/18/2016
Multi-stage Object Detection with Group Recursive Learning
Most of existing detection pipelines treat object proposals independentl...
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03/24/2016