From 1552d5ada413f732ceb48cd1017c17488c39f225 Mon Sep 17 00:00:00 2001 From: abikaki Date: Thu, 21 Nov 2024 19:20:55 -0600 Subject: [PATCH] update README.md --- README.md | 16 +++++++++++-- sections/2024/main/IVMSP-L9.md | 9 ++++++-- sections/2024/main/SLP-L20.md | 41 ++++++++++++++++++++++++++++++++++ 3 files changed, 62 insertions(+), 4 deletions(-) create mode 100644 sections/2024/main/SLP-L20.md diff --git a/README.md b/README.md index 9f5b56b..d5f43c0 100644 --- a/README.md +++ b/README.md @@ -73,7 +73,7 @@ Main - +
@@ -2372,12 +2372,24 @@ ICASSP 2024 Papers: A complete collection of influential and exciting research p Deep Learning Theory - Will soon be added + + Papers + + + Preprints + + + Open Code + + + Videos + Anti-Spoofing + Will soon be added diff --git a/sections/2024/main/IVMSP-L9.md b/sections/2024/main/IVMSP-L9.md index d0d6e9f..7307c34 100644 --- a/sections/2024/main/IVMSP-L9.md +++ b/sections/2024/main/IVMSP-L9.md @@ -34,8 +34,13 @@ ## Deep Learning Theory -![Section Papers](https://img.shields.io/badge/Section%20Papers-0-42BA16) ![Preprint Papers](https://img.shields.io/badge/Preprint%20Papers-0-b31b1b) ![Papers with Open Code](https://img.shields.io/badge/Papers%20with%20Open%20Code-0-1D7FBF) ![Papers with Video](https://img.shields.io/badge/Papers%20with%20Video-0-FF0000) +![Section Papers](https://img.shields.io/badge/Section%20Papers-5-42BA16) ![Preprint Papers](https://img.shields.io/badge/Preprint%20Papers-0-b31b1b) ![Papers with Open Code](https://img.shields.io/badge/Papers%20with%20Open%20Code-1-1D7FBF) ![Papers with Video](https://img.shields.io/badge/Papers%20with%20Video-0-FF0000) | **Title** | **Repo** | **Paper** | **Video** | |-----------|:--------:|:---------:|:---------:| -> Will soon be added \ No newline at end of file +| Dual Rank-1 Tensor Attention Module for Convolutional Neural Networks | :heavy_minus_sign: | [![IEEE Xplore](https://img.shields.io/badge/IEEE-10446465-E4A42C.svg)](https://ieeexplore.ieee.org/document/10446465) | :heavy_minus_sign: | +| Deep Neighbor Layer Aggregation for Lightweight Self-Supervised Monocular Depth Estimation | :heavy_minus_sign: | [![IEEE Xplore](https://img.shields.io/badge/IEEE-10447168-E4A42C.svg)](https://ieeexplore.ieee.org/document/10447168) | :heavy_minus_sign: | +| Self-Supervised Multi-Scale Hierarchical Refinement Method for Joint Learning of Optical Flow and Depth | :heavy_minus_sign: | [![IEEE Xplore](https://img.shields.io/badge/IEEE-10447321-E4A42C.svg)](https://ieeexplore.ieee.org/document/10447321) | :heavy_minus_sign: | +| DAMP: Distribution-Aware Magnitude Pruning for Budget-Sensitive Graph Convolutional Networks | :heavy_minus_sign: | [![IEEE Xplore](https://img.shields.io/badge/IEEE-10448148-E4A42C.svg)](https://ieeexplore.ieee.org/document/10448148) | :heavy_minus_sign: | +| Lighting Image/Video Style Transfer Methods by Iterative Channel Pruning | [![GitHub](https://img.shields.io/github/stars/wukx-wukx/ICCP?style=flat)](https://github.com/wukx-wukx/ICCP) | [![IEEE Xplore](https://img.shields.io/badge/IEEE-10446950-E4A42C.svg)](https://ieeexplore.ieee.org/document/10446950) | :heavy_minus_sign: | +| The Devil is in Details: Delving Into Lite FFN Design for Vision Transformers | :heavy_minus_sign: | [![IEEE Xplore](https://img.shields.io/badge/IEEE-10447756-E4A42C.svg)](https://ieeexplore.ieee.org/document/10447756) | :heavy_minus_sign: | diff --git a/sections/2024/main/SLP-L20.md b/sections/2024/main/SLP-L20.md new file mode 100644 index 0000000..4a790b5 --- /dev/null +++ b/sections/2024/main/SLP-L20.md @@ -0,0 +1,41 @@ +# ICASSP-2024-Papers + + + + + + + + + + +
Application + + App + +
Previous Collections + + Conference + +
+ +
+ + + + + + + + + +
+ + +## Anti-Spoofing + +![Section Papers](https://img.shields.io/badge/Section%20Papers-0-42BA16) ![Preprint Papers](https://img.shields.io/badge/Preprint%20Papers-0-b31b1b) ![Papers with Open Code](https://img.shields.io/badge/Papers%20with%20Open%20Code-0-1D7FBF) ![Papers with Video](https://img.shields.io/badge/Papers%20with%20Video-0-FF0000) + +| **Title** | **Repo** | **Paper** | **Video** | +|-----------|:--------:|:---------:|:---------:| +> Will soon be added \ No newline at end of file