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09/05/2023
RawHDR: High Dynamic Range Image Reconstruction from a Single Raw Image
High dynamic range (HDR) images capture much more intensity levels than ...
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08/21/2023
Pixel Adaptive Deep Unfolding Transformer for Hyperspectral Image Reconstruction
Hyperspectral Image (HSI) reconstruction has made gratifying progress wi...
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08/21/2023
Exploring Fine-Grained Representation and Recomposition for Cloth-Changing Person Re-Identification
Cloth-changing person Re-IDentification (Re-ID) is a particularly challe...
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08/07/2023
Recurrent Self-Supervised Video Denoising with Denser Receptive Field
Self-supervised video denoising has seen decent progress through the use...
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06/02/2023
Denoising Diffusion Semantic Segmentation with Mask Prior Modeling
The evolution of semantic segmentation has long been dominated by learni...
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04/27/2023
Instance Segmentation in the Dark
Existing instance segmentation techniques are primarily tailored for hig...
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04/03/2023
Spectral Enhanced Rectangle Transformer for Hyperspectral Image Denoising
Denoising is a crucial step for hyperspectral image (HSI) applications. ...
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04/02/2023
LG-BPN: Local and Global Blind-Patch Network for Self-Supervised Real-World Denoising
Despite the significant results on synthetic noise under simplified assu...
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03/16/2023
Hybrid Spectral Denoising Transformer with Learnable Query
In this paper, we present a Hybrid Spectral Denoising Transformer (HSDT)...
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02/24/2023
HyperAttack: Multi-Gradient-Guided White-box Adversarial Structure Attack of Hypergraph Neural Networks
Hypergraph neural networks (HGNN) have shown superior performance in var...
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01/27/2023
Mixed Attention Network for Hyperspectral Image Denoising
Hyperspectral image denoising is unique for the highly similar and corre...
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11/27/2022
Improved Quasi-Recurrent Neural Network for Hyperspectral Image Denoising
Hyperspectral image is unique and useful for its abundant spectral bands...
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11/25/2022
Spatial-Spectral Transformer for Hyperspectral Image Denoising
Hyperspectral image (HSI) denoising is a crucial preprocessing procedure...
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10/10/2022
GTAV-NightRain: Photometric Realistic Large-scale Dataset for Night-time Rain Streak Removal
Rain is transparent, which reflects and refracts light in the scene to t...
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09/17/2022
Deep Plug-and-Play Prior for Hyperspectral Image Restoration
Deep-learning-based hyperspectral image (HSI) restoration methods have g...
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04/07/2022
ProbNVS: Fast Novel View Synthesis with Learned Probability-Guided Sampling
Existing state-of-the-art novel view synthesis methods rely on either fa...
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04/03/2022
Estimating Fine-Grained Noise Model via Contrastive Learning
Image denoising has achieved unprecedented progress as great efforts hav...
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03/20/2022
End-to-End Video Text Spotting with Transformer
Recent video text spotting methods usually require the three-staged pipe...
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03/08/2022
Mutual Contrastive Learning to Disentangle Whole Slide Image Representations for Glioma Grading
Whole slide images (WSI) provide valuable phenotypic information for his...
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08/04/2021
Physics-based Noise Modeling for Extreme Low-light Photography
Enhancing the visibility in extreme low-light environments is a challeng...
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07/23/2021
Dynamic Proximal Unrolling Network for Compressive Sensing Imaging
Recovering an underlying image from under-sampled measurements, Compress...
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06/08/2021
LocalTrans: A Multiscale Local Transformer Network for Cross-Resolution Homography Estimation
Cross-resolution image alignment is a key problem in multiscale gigapixe...
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05/26/2021
Disentangled Face Attribute Editing via Instance-Aware Latent Space Search
Recent works have shown that a rich set of semantic directions exist in ...
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12/18/2020
Hyperspectral Image Semantic Segmentation in Cityscapes
High-resolution hyperspectral images (HSIs) contain the response of each...
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11/30/2020
Cross-MPI: Cross-scale Stereo for Image Super-Resolution using Multiplane Images
The combination of various cameras is enriching the way of computational...
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10/11/2020
Partial FC: Training 10 Million Identities on a Single Machine
Face recognition has been an active and vital topic among computer visio...
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06/30/2020
EasyQuant: Post-training Quantization via Scale Optimization
The 8 bits quantization has been widely applied to accelerate network in...
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03/28/2020
A Physics-based Noise Formation Model for Extreme Low-light Raw Denoising
Lacking rich and realistic data, learned single image denoising algorith...
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03/10/2020
3D Quasi-Recurrent Neural Network for Hyperspectral Image Denoising
In this paper, we propose an alternating directional 3D quasi-recurrent ...
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02/22/2020
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems
Plug-and-play (PnP) is a non-convex framework that combines ADMM or othe...
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10/06/2019
GasFuzz: Generating High Gas Consumption Inputs to Avoid Out-of-Gas Vulnerability
The out-of-gas error occurs when smart contract programs are provided wi...
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04/01/2019
Single Image Reflection Removal Exploiting Misaligned Training Data and Network Enhancements
Removing undesirable reflections from a single image captured through a ...
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03/20/2019
EVMFuzz: Differential Fuzz Testing of Ethereum Virtual Machine
Ethereum Virtual Machine (EVM) is the run-time environment for smart con...
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06/02/2017