CVPR2024-Paper-Code-Interpretation

CVPR2024-Paper-Code-Interpretation copied to clipboard

Please add our Oral paper on Knowledge Distillation of 3D object detection

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Could you help to add the paper the list? Paper (Oral): Boosting 3D Object Detection by Simulating Multimodality on Point Clouds Paper Link: https://arxiv.org/abs/2206.14971 Thanks!

Vegeta2020

Paper Title: Why Discard if You can Recycle?: A Recycling Max Pooling Module for 3D Point Cloud Analysis Paper Link: https://openaccess.thecvf.com/content/CVPR2022/papers/Chen_Why_Discard_if_You_Can_Recycle_A_Recycling_Max_Pooling_CVPR_2022_paper.pdf Code Link:https://github.com/jiajingchen113322/Recycle_Maxpooling_Module

jiajingchen113322

Please add our ORAL paper "Neural Texture Extraction and Distribution for Controllable Person Image Synthesis" code: https://github.com/RenYurui/Neural-Texture-Extraction-Distribution paper: https://arxiv.org/abs/2204.06160 THANKS

RenYurui

Update CVPR 2022 to delete duplicate items.

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Update CVPR 2022 to delete duplicate items.

Yulv-git

kiriiiia

Please add our CVPR'2022 Oral paper on low-level vision and inverse problems

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Robust Equivariant Imaging: a fully unsupervised framework for learning to image from noisy and partial measurements CVPR'2022, Oral Paper: https://arxiv.org/pdf/2111.12855.pdf Code: https://github.com/edongdongchen/REI

edongdongchen

BEV: Putting People in their Place: Monocular Regression of 3D People in Depth Code: https://github.com/Arthur151/ROMP Paper: https://arxiv.org/abs/2112.08274 Dataset: https://github.com/Arthur151/Relative_Human Video: https://www.youtube.com/watch?v=Q62fj_6AxRI Project page: https://arthur151.github.io/BEV/BEV.html

Arthur151

Please add our CVPR 2022 paper on gait recognition, thanks. Gait Recognition in the Wild with Dense 3D Representations and A Benchmark Paper: https://arxiv.org/pdf/2204.02569.pdf Project page: https://gait3d.github.io/ Code: https://github.com/Gait3D/Gait3D-Benchmark

JinkaiZheng

Great repository! Please add our CVPR 2022 paper on Weakly Supervised Learning CCAM: Contrastive learning of Class-agnostic Activation Map for Weakly Supervised Object Localization and Semantic Segmentation Paper: https://arxiv.org/abs/2203.13505 Code:...

Sierkinhane

Thanks for this great repo, please add our paper about local feature extraction on this repo. Title: **Decoupling Makes Weakly Supervised Local Feature Bette** paper: [https://arxiv.org/abs/2201.02861](https://arxiv.org/abs/2201.02861) code: [https://github.com/The-Learning-And-Vision-Atelier-LAVA/PoSFeat](https://github.com/The-Learning-And-Vision-Atelier-LAVA/PoSFeat)

KunB-Fighting