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07/15/2023
ExposureDiffusion: Learning to Expose for Low-light Image Enhancement
Previous raw image-based low-light image enhancement methods predominant...
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06/21/2023
A Comprehensive Study on the Robustness of Image Classification and Object Detection in Remote Sensing: Surveying and Benchmarking
Deep neural networks (DNNs) have found widespread applications in interp...
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06/21/2023
Beyond Learned Metadata-based Raw Image Reconstruction
While raw images have distinct advantages over sRGB images, e.g., linear...
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04/14/2023
A Byte Sequence is Worth an Image: CNN for File Fragment Classification Using Bit Shift and n-Gram Embeddings
File fragment classification (FFC) on small chunks of memory is essentia...
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04/14/2023
Bitstream-Corrupted JPEG Images are Restorable: Two-stage Compensation and Alignment Framework for Image Restoration
In this paper, we study a real-world JPEG image restoration problem with...
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02/25/2023
Raw Image Reconstruction with Learned Compact Metadata
While raw images exhibit advantages over sRGB images (e.g., linearity an...
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02/23/2023
On the Simulation of Perception Errors in Autonomous Vehicles
Even though virtual testing of Autonomous Vehicles (AVs) has been well r...
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02/11/2023
Removing Image Artifacts From Scratched Lens Protectors
A protector is placed in front of the camera lens for mobile devices to ...
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11/21/2022
CoPEM: Cooperative Perception Error Models for Autonomous Driving
In this paper, we introduce the notion of Cooperative Perception Error M...
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02/17/2022
TAFNet: A Three-Stream Adaptive Fusion Network for RGB-T Crowd Counting
In this paper, we propose a three-stream adaptive fusion network named T...
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09/13/2021
Low-Light Image Enhancement with Normalizing Flow
To enhance low-light images to normally-exposed ones is highly ill-posed...
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09/13/2021
Variational Disentanglement for Domain Generalization
Domain generalization aims to learn an invariant model that can generali...
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07/17/2021
Looking Twice for Partial Clues: Weakly-supervised Part-Mentored Attention Network for Vehicle Re-Identification
Vehicle re-identification (Re-ID) is to retrieve images of the same vehi...
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07/13/2021
Attention-Guided Progressive Neural Texture Fusion for High Dynamic Range Image Restoration
High Dynamic Range (HDR) imaging via multi-exposure fusion is an importa...
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07/06/2021
Embracing the Dark Knowledge: Domain Generalization Using Regularized Knowledge Distillation
Though convolutional neural networks are widely used in different tasks,...
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06/03/2021
PDPGD: Primal-Dual Proximal Gradient Descent Adversarial Attack
State-of-the-art deep neural networks are sensitive to small input pertu...
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05/17/2021
Multi-object Tracking with Tracked Object Bounding Box Association
The CenterTrack tracking algorithm achieves state-of-the-art tracking pe...
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05/04/2021
Moving Towards Centers: Re-ranking with Attention and Memory for Re-identification
Re-ranking utilizes contextual information to optimize the initial ranki...
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04/26/2021
Dense Point Prediction: A Simple Baseline for Crowd Counting and Localization
In this paper, we propose a simple yet effective crowd counting and loca...
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11/30/2020
Rethinking and Designing a High-performing Automatic License Plate Recognition Approach
In this paper, we propose a real-time and accurate automatic license pla...
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09/15/2020
Light Can Hack Your Face! Black-box Backdoor Attack on Face Recognition Systems
Deep neural networks (DNN) have shown great success in many computer vis...
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07/25/2020
A Self-Training Approach for Point-Supervised Object Detection and Counting in Crowds
In this paper, we propose a novel self-training approach which enables a...
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04/19/2020
When Residual Learning Meets Dense Aggregation: Rethinking the Aggregation of Deep Neural Networks
Various architectures (such as GoogLeNets, ResNets, and DenseNets) have ...
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09/26/2019
Convolutional Neural Networks with Dynamic Regularization
Regularization is commonly used in machine learning for alleviating over...
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03/07/2019
Stratified Labeling for Surface Consistent Parallax Correction and Occlusion Completion
The light field faithfully records the spatial and angular configuration...
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10/30/2018
Improved Network Robustness with Adversary Critic
Ideally, what confuses neural network should be confusing to humans. How...
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08/19/2018
Haze Density Estimation via Modeling of Scattering Coefficients of Iso-depth Regions
Vision based haze density estimation is of practical implications for th...
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05/31/2018
Light Field Denoising via Anisotropic Parallax Analysis in a CNN Framework
Light field (LF) cameras provide perspective information of scenes by ta...
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04/28/2018
Remote Detection of Idling Cars Using Infrared Imaging and Deep Networks
Idling vehicles waste energy and pollute the environment through exhaust...
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04/24/2018
Robust Video Content Alignment and Compensation for Clear Vision Through the Rain
Outdoor vision-based systems suffer from atmospheric turbulences, and ra...
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03/28/2018
Robust Video Content Alignment and Compensation for Rain Removal in a CNN Framework
Rain removal is important for improving the robustness of outdoor vision...
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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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08/07/2017
Accurate Light Field Depth Estimation with Superpixel Regularization over Partially Occluded Regions
Depth estimation is a fundamental problem for light field photography ap...
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10/12/2016
