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09/06/2023
Image Aesthetics Assessment via Learnable Queries
Image aesthetics assessment (IAA) aims to estimate the aesthetics of ima...
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08/31/2023
Domain Adaptive Synapse Detection with Weak Point Annotations
The development of learning-based methods has greatly improved the detec...
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08/26/2023
Generalized Lightness Adaptation with Channel Selective Normalization
Lightness adaptation is vital to the success of image processing to avoi...
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08/24/2023
Mutual-Guided Dynamic Network for Image Fusion
Image fusion aims to generate a high-quality image from multiple images ...
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08/19/2023
Learning Multiscale Consistency for Self-supervised Electron Microscopy Instance Segmentation
Instance segmentation in electron microscopy (EM) volumes poses a signif...
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08/07/2023
Feature Decoupling-Recycling Network for Fast Interactive Segmentation
Recent interactive segmentation methods iteratively take source image, u...
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07/20/2023
Deep Spiking-UNet for Image Processing
U-Net, known for its simple yet efficient architecture, is widely utiliz...
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07/08/2023
Stimulating the Diffusion Model for Image Denoising via Adaptive Embedding and Ensembling
Image denoising is a fundamental problem in computational photography, w...
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06/07/2023
Generative Text-Guided 3D Vision-Language Pretraining for Unified Medical Image Segmentation
Vision-Language Pretraining (VLP) has demonstrated remarkable capabiliti...
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05/30/2023
Toward Real-World Light Field Super-Resolution
Deep learning has opened up new possibilities for light field super-reso...
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05/23/2023
A Dive into SAM Prior in Image Restoration
The goal of image restoration (IR), a fundamental issue in computer visi...
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05/11/2023
Can SAM Boost Video Super-Resolution?
The primary challenge in video super-resolution (VSR) is to handle large...
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04/08/2023
Region-Aware Portrait Retouching with Sparse Interactive Guidance
Portrait retouching aims to improve the aesthetic quality of input portr...
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03/25/2023
Toward DNN of LUTs: Learning Efficient Image Restoration with Multiple Look-Up Tables
The widespread usage of high-definition screens on edge devices stimulat...
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11/06/2022
Towards Real World HDRTV Reconstruction: A Data Synthesis-based Approach
Existing deep learning based HDRTV reconstruction methods assume one kin...
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10/24/2022
TridentSE: Guiding Speech Enhancement with 32 Global Tokens
In this paper, we present TridentSE, a novel architecture for speech enh...
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06/28/2022
RetrieverTTS: Modeling Decomposed Factors for Text-Based Speech Insertion
This paper proposes a new "decompose-and-edit" paradigm for the text-bas...
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05/08/2022
Recurrent Dynamic Embedding for Video Object Segmentation
Space-time memory (STM) based video object segmentation (VOS) networks u...
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04/04/2022
Degradation-agnostic Correspondence from Resolution-asymmetric Stereo
In this paper, we study the problem of stereo matching from a pair of im...
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03/11/2022
aiWave: Volumetric Image Compression with 3-D Trained Affine Wavelet-like Transform
Volumetric image compression has become an urgent task to effectively tr...
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02/24/2022
Retriever: Learning Content-Style Representation as a Token-Level Bipartite Graph
This paper addresses the unsupervised learning of content-style decompos...
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02/03/2022
Retinal Vessel Segmentation with Pixel-wise Adaptive Filters
Accurate retinal vessel segmentation is challenging because of the compl...
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12/24/2021
Continuous Spectral Reconstruction from RGB Images via Implicit Neural Representation
Existing methods for spectral reconstruction usually learn a discrete ma...
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12/01/2021
Attribute Artifacts Removal for Geometry-based Point Cloud Compression
Geometry-based point cloud compression (G-PCC) can achieve remarkable co...
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09/25/2021
Contrastive Learning for Mitochondria Segmentation
Mitochondria segmentation in electron microscopy images is essential in ...
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09/18/2021
iWave3D: End-to-end Brain Image Compression with Trainable 3-D Wavelet Transform
With the rapid development of whole brain imaging technology, a large nu...
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09/16/2021
Towards Non-Line-of-Sight Photography
Non-line-of-sight (NLOS) imaging is based on capturing the multi-bounce ...
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09/08/2021
Unfolding Taylor's Approximations for Image Restoration
Deep learning provides a new avenue for image restoration, which demands...
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05/11/2021
EDPN: Enhanced Deep Pyramid Network for Blurry Image Restoration
Image deblurring has seen a great improvement with the development of de...
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05/06/2021
Unsupervised Visual Representation Learning by Tracking Patches in Video
Inspired by the fact that human eyes continue to develop tracking abilit...
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04/16/2021
Advanced Deep Networks for 3D Mitochondria Instance Segmentation
Mitochondria instance segmentation from electron microscopy (EM) images ...
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04/08/2021
Phoneme-based Distribution Regularization for Speech Enhancement
Existing speech enhancement methods mainly separate speech from noises a...
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02/24/2021
Synergy Between Semantic Segmentation and Image Denoising via Alternate Boosting
The capability of image semantic segmentation may be deteriorated due to...
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04/02/2020
Tracking by Instance Detection: A Meta-Learning Approach
We consider the tracking problem as a special type of object detection p...
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03/13/2020
Is There Tradeoff between Spatial and Temporal in Video Super-Resolution?
Recent advances of deep learning lead to great success of image and vide...
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11/26/2019
Progressive Retinex: Mutually Reinforced Illumination-Noise Perception Network for Low Light Image Enhancement
Contrast enhancement and noise removal are coupled problems for low-ligh...
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11/12/2019
PHASEN: A Phase-and-Harmonics-Aware Speech Enhancement Network
Time-frequency (T-F) domain masking is a mainstream approach for single-...
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04/18/2019
On The Classification-Distortion-Perception Tradeoff
Signal degradation is ubiquitous and computational restoration of degrad...
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04/09/2019
SPM-Tracker: Series-Parallel Matching for Real-Time Visual Object Tracking
The greatest challenge facing visual object tracking is the simultaneous...
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04/06/2019
Camera Lens Super-Resolution
Existing methods for single image super-resolution (SR) are typically ev...
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03/13/2019
Two-Stream Oriented Video Super-Resolution for Action Recognition
We study the video super-resolution (SR) problem not for visual quality,...
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11/19/2018
