I2-Multimedia-Lab

I2-Multimedia-Lab

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Home Page:https://i2-multimedia-lab.github.io/

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I2-Multimedia-Lab's repositories

ProxyFormer

ProxyFormer (CVPR 2023)

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M3Net

The implementation of 'M3Net: Multilevel, Mixed and Multistage Attention Network for Salient Object Detection'.

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PCC_Patch

(ACM MM ASIA 2021) Patch-Based Deep Autoencoder for Point Cloud Geometry Compression.

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DSAT

TMM 2024 The code of ' Degradation-Aware Self-Attention Based Transformer for Blind Image Super-Resolution '.

PoLoPCAC

[Under Review] Efficient and Generic Point Model for Lossless Point Cloud Attribute Compression

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IPDAE

(ACM MM 2022 Workshop APCCPA) IPDAE: Improved Patch-Based Deep Autoencoder for Lossy Point Cloud Geometry Compression.

360-video-experimental-platform

(TMM 2022)Quality Assessment for Omnidirectional Video: A Spatio-Temporal Distortion Modeling Approach

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Pointsoup

[IJCAI 2024] Pointsoup: High-Performance and Extremely Low-Decoding-Latency Learned Geometry Codec for Large-Scale Point Cloud Scenes

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CDFormer

[CVPR2024] CDFormer

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A2S-v3

[IJCAI2024] The implementation of "Unified Unsupervised Salient Object Detection via Knowledge Transfer"

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Att2CPC

The code of "Att2CPC: Attention-Guided Lossy Attribute Compression of Point Clouds"

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SaTQA

[AAAI 2024] Transformer-Based No-Reference Image Quality Assessment via Supervised Contrastive Learning

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StylePrompter

StylePrompter (ACM MM23)

adaptive-hole-filling

Disocclusion filling for depth-based view synthesis with adaptive utilization of temporal correlations (JVCI)

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i2-multimedia-lab.github.io

I2-Multimedia-Lab website

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RLGrid

PyTorch implementation for RLGrid: Reinforcement Learning Controlled Grid Deformation for Coarse-to-Fine Point Could Completion.

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SSformer

A lightweight model for semantic segmentation (IEEE MMSP 2022)

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TempQT

Blind Image Quality Assessment via Transformer Predicted Error Map and Perceptual Quality Token

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Video-Frame-Interpolation-Based-on-Deformable-Kernel-Region

Video Frame Interpolation Based on Deformable Kernel Region (IJCAI 2022)

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Dilated-CNN-based-deep-reference-picture-generation

Dilated convolutional neural network-based deep reference picture generation for video compression (ICASSP 2022)

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NUAA-I2ML.github.io

A Homepage For I2ML

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