http://cvpr2020.thecvf.com/submission/main-conference/author-guidelines#call-for-papers
以上地址有提交要求和模板下载
范围
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3D电脑视觉 3D computer vision
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行动与行为识别 Action and behavior recognition
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对抗学习,对抗攻防方法 Adversarial learning, adversarial attack and defense methods
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生物特征识别,脸部,手势,身体姿势 Biometrics, face, gesture, body pose
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计算摄影,图像和视频合成 Computational photography, image and video synthesis
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数据集和评估 Datasets and evaluation
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网络的有效训练和推理方法 Efficient training and inference methods for networks
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可解释的AI,公平,问责,隐私,透明度和愿景道德 Explainable AI, fairness, accountability, privacy, transparency and ethics in vision
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图像检索 Image retrieval
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低层次的和基于物理的视觉 Low-level and physics-based vision
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机器学习架构和公式 Machine learning architectures and formulations
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医学,生物学和细胞显微镜 Medical, biological and cell microscopy
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运动与追踪 Motion and tracking
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神经生成模型,自动编码器,GAN: Neural generative models, auto encoders, GANs
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优化和学习方法 Optimization and learning methods
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识别(物体检测,分类) Recognition (object detection, categorization)
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表征学习,深度学习 Representation learning, deep learning
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场景分析与理解 Scene analysis and understanding
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分割,分组和形状 Segmentation, grouping and shape
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转移,低调,半监督和无监督学习 Transfer, low-shot, semi- and un- supervised learning
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视频分析与理解 Video analysis and understanding
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视觉+语言,视觉+其他方式 Vision + language, vision + other modalities
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视觉应用和系统,机器人技术和自动驾驶汽车的视觉 Vision applications and systems, vision for robotics and autonomous vehicles
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视觉推理和逻辑表示 Visual reasoning and logical representation
英文
3D computer vision
Action and behavior recognition
Adversarial learning, adversarial attack and defense methods
Biometrics, face, gesture, body pose
Computational photography, image and video synthesis
Datasets and evaluation
Efficient training and inference methods for networks
Explainable AI, fairness, accountability, privacy, transparency and ethics in vision
Image retrieval
Low-level and physics-based vision
Machine learning architectures and formulations
Medical, biological and cell microscopy
Motion and tracking
Neural generative models, auto encoders, GANs
Optimization and learning methods
Recognition (object detection, categorization)
Representation learning, deep learning
Scene analysis and understanding
Segmentation, grouping and shape
Transfer, low-shot, semi- and un- supervised learning
Video analysis and understanding
Vision + language, vision + other modalities
Vision applications and systems, vision for robotics and autonomous vehicles
Visual reasoning and logical representation