i2-multimedia-lab Goto Github PK
Type: Organization
Type: Organization
(TMM 2022)Quality Assessment for Omnidirectional Video: A Spatio-Temporal Distortion Modeling Approach
[IJCAI2024] The implementation of "Unified Unsupervised Salient Object Detection via Knowledge Transfer"
Disocclusion filling for depth-based view synthesis with adaptive utilization of temporal correlations (JVCI)
The code of "Att2CPC: Attention-Guided Lossy Attribute Compression of Point Clouds"
Dilated convolutional neural network-based deep reference picture generation for video compression (ICASSP 2022)
TMM 2024 The code of ' Degradation-Aware Self-Attention Based Transformer for Blind Image Super-Resolution '.
[ECCV 2024] DSMix: Distortion-Induced Sensitivity Map Based Pre-training for No-Reference Image Quality Assessment
I2-Multimedia-Lab website
(ACM MM 2022 Workshop APCCPA) IPDAE: Improved Patch-Based Deep Autoencoder for Lossy Point Cloud Geometry Compression.
The implementation of 'M3Net: Multilevel, Mixed and Multistage Attention Network for Salient Object Detection'.
A Homepage For I2ML
(ACM MM ASIA 2021) Patch-Based Deep Autoencoder for Point Cloud Geometry Compression.
[IJCAI 2024] Pointsoup: High-Performance and Extremely Low-Decoding-Latency Learned Geometry Codec for Large-Scale Point Cloud Scenes
[Under Review] Efficient and Generic Point Model for Lossless Point Cloud Attribute Compression
ProxyFormer (CVPR 2023)
PyTorch implementation for RLGrid: Reinforcement Learning Controlled Grid Deformation for Coarse-to-Fine Point Could Completion.
[AAAI 2024] Transformer-Based No-Reference Image Quality Assessment via Supervised Contrastive Learning
A lightweight model for semantic segmentation (IEEE MMSP 2022)
StylePrompter (ACM MM23)
Blind Image Quality Assessment via Transformer Predicted Error Map and Perceptual Quality Token
Video Frame Interpolation Based on Deformable Kernel Region (IJCAI 2022)
visual saliency prediction
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