ECCV 2022|华为诺亚提出CLIFF:将全帧位置信息带入人体姿势和形状估!论文/代码速递2022.10.18!
整理:AI算法与图像处理
CVPR2022论文和代码整理:https://github.com/DWCTOD/CVPR2022-Papers-with-Code-Demo
ECCV2022论文和代码整理:https://github.com/DWCTOD/ECCV2022-Papers-with-Code-Demo
最新成果demo展示:
标题:CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimation
代码:https://github.com/huawei-noah/noah-research/tree/master/CLIFF
论文:https://arxiv.org/abs/2208.00571
自顶向下的方法在3D人体姿势和形状估计领域占据主导地位,因为它们与人体检测分离,允许研究人员专注于核心问题。然而,裁剪是它们的第一步,从一开始就丢弃了位置信息,这使得它们无法在原始相机坐标系中准确预测全局旋转。为了解决这个问题,我们建议在这个任务中携带全帧位置信息(CLIFF)。具体来说,我们通过将裁剪的图像特征与其边界框信息连接起来,向CLIFF提供更全面的特征。我们在更宽的全帧视野下计算2D重投影损失,采用与在图像中投影的人相似的投影过程。CLIFF由全球位置感知信息提供并监督,它直接预测全球旋转以及更精确的关节姿势。此外,我们提出了一种基于CLIFF的伪地面真值注释器,它为野外二维数据集提供高质量的三维注释,并为基于回归的方法提供关键的全面监督。对流行基准测试的大量实验表明,CLIFF的表现明显优于现有技术,并在AGORA排行榜上排名第一(SMPL算法跟踪)。
最新论文整理
ECCV2022
Updated on : 18 Oct 2022
total number : 14
CramNet: Camera-Radar Fusion with Ray-Constrained Cross-Attention for Robust 3D Object Detection
- 论文/Paper: http://arxiv.org/pdf/2210.09267
- 代码/Code: None
Improving Contrastive Learning on Visually Homogeneous Mars Rover Images
- 论文/Paper: http://arxiv.org/pdf/2210.09234
- 代码/Code: None
ArtFacePoints: High-resolution Facial Landmark Detection in Paintings and Prints
- 论文/Paper: http://arxiv.org/pdf/2210.09204
- 代码/Code: https://github.com/asindel/artfacepoints
Distilling Object Detectors With Global Knowledge
- 论文/Paper: http://arxiv.org/pdf/2210.09022
- 代码/Code: https://github.com/hikvision-research/davar-lab-ml
AIM 2022 Challenge on Instagram Filter Removal: Methods and Results
- 论文/Paper: http://arxiv.org/pdf/2210.08997
- 代码/Code: None
Rethinking Trajectory Prediction via "Team Game"
- 论文/Paper: http://arxiv.org/pdf/2210.08793
- 代码/Code: None
Temporal and Contextual Transformer for Multi-Camera Editing of TV Shows
- 论文/Paper: http://arxiv.org/pdf/2210.08737
- 代码/Code: None
Runner-Up Solution to Google Universal Image Embedding Competition 2022
- 论文/Paper: http://arxiv.org/pdf/2210.08735
- 代码/Code: None
Selective Query-guided Debiasing Network for Video Corpus Moment Retrieval
- 论文/Paper: http://arxiv.org/pdf/2210.08714
- 代码/Code: None
1st Place Solution in Google Universal Images Embedding
- 论文/Paper: http://arxiv.org/pdf/2210.08473
- 代码/Code: None
Video in 10 Bits: Few-Bit VideoQA for Efficiency and Privacy
- 论文/Paper: http://arxiv.org/pdf/2210.08391
- 代码/Code: None
Improving the Intra-class Long-tail in 3D Detection via Rare Example Mining
- 论文/Paper: http://arxiv.org/pdf/2210.08375
- 代码/Code: None
Geometric Representation Learning for Document Image Rectification
- 论文/Paper: http://arxiv.org/pdf/2210.08161
- 代码/Code: https://github.com/fh2019ustc/docgeonet
Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving
- 论文/Paper: http://arxiv.org/pdf/2210.08061
- 代码/Code: None
CVPR2022
NeurIPS
Updated on : 18 Oct 2022
total number : 12
S^3-NeRF: Neural Reflectance Field from Shading and Shadow under a Single Viewpoint
- 论文/Paper: http://arxiv.org/pdf/2210.08936
- 代码/Code: None
Contrastive Language-Image Pre-Training with Knowledge Graphs
- 论文/Paper: http://arxiv.org/pdf/2210.08901
- 代码/Code: None
HyperDomainNet: Universal Domain Adaptation for Generative Adversarial Networks
- 论文/Paper: http://arxiv.org/pdf/2210.08884
- 代码/Code: https://github.com/macderru/hyperdomainnet
Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning
- 论文/Paper: http://arxiv.org/pdf/2210.08823
- 代码/Code: https://github.com/dongzelian/ssf
Signal Processing for Implicit Neural Representations
- 论文/Paper: http://arxiv.org/pdf/2210.08772
- 代码/Code: None
Forecasting Human Trajectory from Scene History
- 论文/Paper: http://arxiv.org/pdf/2210.08732
- 代码/Code: None
LAION-5B: An open large-scale dataset for training next generation image-text models
- 论文/Paper: http://arxiv.org/pdf/2210.08402
- 代码/Code: None
mRI: Multi-modal 3D Human Pose Estimation Dataset using mmWave, RGB-D, and Inertial Sensors
- 论文/Paper: http://arxiv.org/pdf/2210.08394
- 代码/Code: None
Self-Supervised Learning Through Efference Copies
- 论文/Paper: http://arxiv.org/pdf/2210.09224
- 代码/Code: None
Marksman Backdoor: Backdoor Attacks with Arbitrary Target Class
- 论文/Paper: http://arxiv.org/pdf/2210.09194
- 代码/Code: None
Navigating Memory Construction by Global Pseudo-Task Simulation for Continual Learning
- 论文/Paper: http://arxiv.org/pdf/2210.08442
- 代码/Code: https://github.com/liuyejia/gps_cl
Neural Attentive Circuits
- 论文/Paper: http://arxiv.org/pdf/2210.08031
- 代码/Code: None
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