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09/18/2023
CLIP-based Synergistic Knowledge Transfer for Text-based Person Retrieval
Text-based Person Retrieval aims to retrieve the target person images gi...
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09/12/2023
Elucidating the solution space of extended reverse-time SDE for diffusion models
Diffusion models (DMs) demonstrate potent image generation capabilities ...
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04/17/2023
LLA-FLOW: A Lightweight Local Aggregation on Cost Volume for Optical Flow Estimation
Lack of texture often causes ambiguity in matching, and handling this is...
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03/17/2023
IRGen: Generative Modeling for Image Retrieval
While generative modeling has been ubiquitous in natural language proces...
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02/13/2023
Explicit3D: Graph Network with Spatial Inference for Single Image 3D Object Detection
Indoor 3D object detection is an essential task in single image scene un...
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07/28/2022
Meta-Learning based Degradation Representation for Blind Super-Resolution
The most of CNN based super-resolution (SR) methods assume that the degr...
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04/29/2022
SCS-Co: Self-Consistent Style Contrastive Learning for Image Harmonization
Image harmonization aims to achieve visual consistency in composite imag...
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03/14/2022
STDAN: Deformable Attention Network for Space-Time Video Super-Resolution
The target of space-time video super-resolution (STVSR) is to increase t...
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01/12/2022
Coarse-to-Fine Embedded PatchMatch and Multi-Scale Dynamic Aggregation for Reference-based Super-Resolution
Reference-based super-resolution (RefSR) has made significant progress i...
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01/11/2022
Efficient Non-Local Contrastive Attention for Image Super-Resolution
Non-Local Attention (NLA) brings significant improvement for Single Imag...
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11/24/2021
APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation
Few-shot semantic segmentation aims to segment novel-class objects in a ...
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04/19/2021
SCNet: Enhancing Few-Shot Semantic Segmentation by Self-Contrastive Background Prototypes
Few-shot semantic segmentation aims to segment novel-class objects in a ...
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09/13/2020
Attention Cube Network for Image Restoration
Recently, deep convolutional neural network (CNN) have been widely used ...
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03/28/2020
Real-MFF Dataset: A Large Realistic Multi-focus Image Dataset with Ground Truth
Multi-focus image fusion, a technique to generate an all-in-focus image ...
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02/27/2020
XSepConv: Extremely Separated Convolution
Depthwise convolution has gradually become an indispensable operation fo...
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10/29/2019
An α-Matte Boundary Defocus Model Based Cascaded Network for Multi-focus Image Fusion
Capturing an all-in-focus image with a single camera is difficult since ...
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09/09/2019
LCSCNet: Linear Compressing Based Skip-Connecting Network for Image Super-Resolution
In this paper, we develop a concise but efficient network architecture c...
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03/30/2019
Boundary Aware Multi-Focus Image Fusion Using Deep Neural Network
Since it is usually difficult to capture an all-in-focus image of a 3D s...
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02/15/2019
Lightweight Feature Fusion Network for Single Image Super-Resolution
Single image super-resolution(SISR) has witnessed great progress as conv...
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09/03/2018
