extreme-assistant / cvpr2024-paper-code-interpretation Goto Github PK

Please add our CVPR 2022 paper in 3D Object Detection: Pseudo-Stereo for Monocular 3D Object Detection in Autonomous Driving

paper link: https://arxiv.org/abs/2203.02112
code link: https://github.com/revisitq/Pseudo-Stereo-3D

Thanks very much!

As the title said.

Add this one.
http://web.eecs.utk.edu/~zzhang61/project_page/SRNTT/SRNTT.html

Hi! Could you add our paper to this repo under the category of 三维点云/三维重建? Thanks!

Title: PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation

Paper: https://arxiv.org/abs/2003.14032

Code: https://github.com/edwardzhou130/PolarSeg

Thanks!

CVPR 2020
PREDICT & CLUSTER: Unsupervised Skeleton Based Action Recognition
论文: https://arxiv.org/abs/1911.12409
代码: https://github.com/shlizee/Predict-Cluster
谢谢！

Searching for A Robust Neural Architecture in Four GPU Hours
作者：Xuanyi Dong, Yi Yang
代码链接：https://github.com/D-X-Y/GDAS (will be public soon)

Please help add our CVPR 2022 paper & code in this great repo.

Paper: OpenTAL: Towards Open Set Temporal Action Localization
Code: https://github.com/Cogito2012/OpenTAL

Thank you very much!

CVPR2021的分类中，点云分类下：
[15] PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds(PAConv：点云上具有动态内核组装的位置自适应卷积)

这篇的code链接请改为：
https://github.com/CVMI-Lab/PAConv

Thanks

I appreciate it if you can add the following paper

Center-based 3D Object Detection and Tracking

paper: https://arxiv.org/abs/2006.11275
code: https://github.com/tianweiy/CenterPoint

Thanks!

模型压缩（二值神经网络）相关文章一篇，已中，感谢添加
论文标题：Forward and Backward Information Retention for Accurate Binary Neural Networks
论文arXiv链接：https://arxiv.org/abs/1909.10788
代码：https://github.com/htqin/IR-Net/

Dual Encoding for Zero-Example Video Retrieval
作者：Jianfeng Dong, Xirong Li, Chaoxi Xu, Shouling Ji, Yuan He, Gang Yang and Xun Wang
论文链接：https://arxiv.org/abs/1809.06181 
代码链接：https://github.com/danieljf24/dual_encoding

PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer
(CVPR 2020 Oral)

paper: https://arxiv.org/abs/1909.06956
code: https://github.com/wtjiang98/PSGAN

Please add the code of our CVPR 2021 paper: S2R-DepthNet: Learning a Generalizable Depth-specific Structural Representation

https://github.com/microsoft/S2R-DepthNet

Thanks very much!

DCPose: Deep Dual Consecutive Network for Human Pose Estimation
Paper: https://arxiv.org/abs/2103.07254
Code: https://github.com/Pose-Group/DCPose

Hi,
Could you help add our CVPR21 Oral paper:

• Title: Dense Contrastive Learning for Self-Supervised Visual Pre-Training
• Paper: https://arxiv.org/abs/2011.09157
• Code: https://github.com/WXinlong/DenseCL

Thanks!

Hi, Thanks for the repo. While this paper is wrongly labeled with "stereo matching" tag. Actually, it proposes architectures for learning correspondence, and can be applied into both "stereo matching" and "optical flow".

Title : Simulating Unknown Target Models for Query-Efficient Black-box Attacks
arXiv: https://arxiv.org/abs/2009.00960 (title will be changed in the revised version)
Code: https://github.com/machanic/MetaSimulator
Intro: We propose a method to train a "Simulator" that can counterfeit any unknown victim models for achieving the query-efficient attack to reducing query complexity of black-box adversarial attacks.

Hi, Thanks for your effort to make this useful git. Please add the code link for our paper

FS-Net: Fast Shape-based Network for Category-Level 6D Object Pose Estimation with Decoupled Rotation Mechanism.

The code link is: https://github.com/DC1991/FS_Net

Thanks very much.

Title: GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation.

arXiv: http://arxiv.org/abs/2102.12145

code: https://github.com/THU-DA-6D-Pose-Group/GDR-Net

I hope you can note that the code of paper id 101:Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation, is implemented unofficially. Thank you very much.

code & paper: https://github.com/wenguanwang/AGS

#Learning Unsupervised Video Primary Object Segmentation through Visual Attention (CVPR19)

Wenguan Wang, Hongmei Song, Shuyang Zhao, Jianbing Shen, Sanyuan Zhao, Steven Chu Hong Hoi, and Haibin Ling

additional link to the paper: http://www.dabi.temple.edu/~hbling/publication/UVOS-cvpr19.pdf

https://github.com/Epiphqny/VisTR

https://arxiv.org/abs/2104.04329, Learning Position and Target Consistency for Memory-based Video Object Segmentation

Please add our CVPR paper:

Link: https://arxiv.org/abs/2112.05132

Code: https://github.com/Anirudh257/strm

2019 CVPR paper download link is invalid, can you share it again? Thank you.

Please add this one: https://arxiv.org/abs/1812.01187
author: Tong He, Zhi Zhang, Hang Zhang, Zhongyue Zhang, Junyuan Xie, Mu Li
code: https://github.com/dmlc/gluon-cv

Thanks!

Please help add our CVPR 2022 paper in this great repo.

paper link: https://arxiv.org/abs/2203.03253

Thanks very much!

Please add our CVPR 2021 paper in adversarial example: Enhancing the Transferability of Adversarial Attacks through Variance Tuning

paper link: https://arxiv.org/abs/2103.15571
code link: https://github.com/JHL-HUST/VT

Thanks very much!

5篇CVPR http://cseweb.ucsd.edu/~haosu/#pub
2篇 http://stanford.edu/~rqi/

Thanks very much for creating this archive and listing our paper.

However, author list of Paper 121 RAVEN: A Dataset for Relational and Analogical Visual rEasoNing is wrong.

It should be: Chi Zhang, Feng Gao, Baoxiong Jia, Yixin Zhu, Song-Chun Zhu

The question just like the title above

Hi,

Thanks a lot for listing our CVPR'21 oral paper "[26] Discovering Hidden Physics Behind Transport Dynamics". (Paper: https://arxiv.org/abs/2011.12222)
It is a work on perfusion imaging, could you please add it to the ''Medical Imaging' category as well?

Many thanks in advance!

Title: Cross-Modal Center Loss for 3D Cross-Modal Retrieval
Paper Link: https://arxiv.org/abs/2008.03561
Code Link: https://github.com/LongLong-Jing/Cross-Modal-Center-Loss

TDN: Temporal Difference Networks for Efficient Action Recognition
Paper: https://arxiv.org/abs/2012.10071
Code: https://github.com/MCG-NJU/TDN

Hi, We have already released our code for CVPR2021 paper on 3D point cloud registration: PointDSC: Robust Point Cloud Registration using Deep Spatial Consistency. (paper is already included in this repo)
Paper: https://arxiv.org/abs/2103.05465
Code: https://github.com/XuyangBai/PointDSC

Thanks a lot.

CVPR2021 oral: End-to-End Video Instance Segmentation with Transformers https://arxiv.org/abs/2011.14503

Topic: 3D object detection, 3D pose estimation, vehicle pose estimation
Title: Exploring intermediate representation for monocular vehicle pose estimation
Code: https://github.com/Nicholasli1995/EgoNet
@extreme-assistant

Hi, could you please add our paper to 三维点云/三维重建/三维检测/三维分割/深度估计 category:
AANet: Adaptive Aggregation Network for Efficient Stereo Matching
arXiv: https://arxiv.org/abs/2004.09548
code: https://github.com/haofeixu/aanet
We propose an efficient and accurate architecture for stereo matching without any 3D convs.
Thanks.

Please add our CVPR 2022 paper in 3D Human Pose Estimation/Pose Estimation/Transformer/3D Vision/3D Human Reconstruction:
MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation

paper link: https://arxiv.org/pdf/2111.12707.pdf
code link: https://github.com/Vegetebird/MHFormer

Thanks very much!

Thanks for adding it into the list~

paper: https://arxiv.org/pdf/2011.12885.pdf
code: https://github.com/implus/GFocalV2
zhihu: https://zhuanlan.zhihu.com/p/313684358

Hi, thank you for your collection! Please add our CVPR paper "Generalizable Person Re-identification with Relevance-aware Mixture of Experts". In this paper, we propose a novel method called the relevance-aware mixture of experts (RaMoE) to tackle the problem of domain generalization in person re-identification. Paper link https://arxiv.org/abs/2105.09156.

论文百度云链接挂了

How do i use androrat on 9132515506

The information of our CVPR 2021 paper:

• Title: Transformation Driven Visual Reasoning
• Paper: https://arxiv.org/pdf/2011.13160.pdf
• Code: https://github.com/hughplay/TVR
• Homepage: https://hongxin2019.github.io/TVR/

Thank you very much!

Hi, I saw this CVPR 20 paper with nice github code: https://github.com/autonomousvision/differentiable_volumetric_rendering

Hi,
Could you add our CVPR2021 paper to "Image Object Detection" topic:

Title: End-to-End Object Detection with Fully Convolutional Network
Paper: https://arxiv.org/abs/2012.03544
Code: https://github.com/Megvii-BaseDetection/DeFCN
Zhihu: https://zhuanlan.zhihu.com/p/332281368

Thanks!

Closing the Loop: Joint Rain Generation and Removal via Disentangled Image Translation
paper: https://arxiv.org/abs/2103.13660
code: https://github.com/guyii54/JRGR