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检索条件"任意字段=IEEE Conference on Computer Vision and Pattern Recognition Workshops"
23095 条 记 录,以下是191-200 订阅
排序:
Exploring vision Transformers for 3D Human Motion-Language Models with Motion Patches
Exploring Vision Transformers for 3D Human Motion-Language M...
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Yu, Qing Tanaka, Mikihiro Fujiwara, Kent LY Corp Tokyo Japan
To build a cross-modal latent space between 3D human motion and language, acquiring large-scale and high-quality human motion data is crucial. However, unlike the abundance of image data, the scarcity of motion data h... 详细信息
来源: 评论
Mitigating Object Hallucinations in Large vision-Language Models through Visual Contrastive Decoding
Mitigating Object Hallucinations in Large Vision-Language Mo...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Leng, Sicong Zhang, Hang Chen, Guanzheng Li, Xin Lug, Shijian Miao, Chunyan Bing, Lidong Alibaba Grp DAMO Acad Hangzhou Peoples R China Nanyang Technol Univ Singapore Singapore Hupan Lab Hangzhou 310023 Peoples R China
Large vision-Language Models (LVLMs) have advanced considerably, intertwining visual recognition and language understanding to generate content that is not only coherent but also contextually attuned. Despite their su... 详细信息
来源: 评论
Cinematic Behavior Transfer via NeRF-based Differentiable Filming
Cinematic Behavior Transfer via NeRF-based Differentiable Fi...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Jiang, Xuekun Rao, Anyi Wang, Jingbo Lin, Dahua Dai, Bo Shanghai AI Lab Shanghai Peoples R China Stanford Univ Stanford CA 94305 USA Chinese Univ Hong Kong Hong Kong Peoples R China
In the evolving landscape of digital media and video production, the precise manipulation and reproduction of visual elements like camera movements and character actions are highly desired. Existing SLAM methods face ... 详细信息
来源: 评论
Prompt Learning via Meta-Regularization
Prompt Learning via Meta-Regularization
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Park, Jinyoung Ko, Juyeon Kim, Hyunwoo J. Korea Univ Dept Comp Sci & Engn Seoul South Korea
Pre-trained vision-language models have shown impressive success on various computer vision tasks with their zero-shot generalizability. Recently, prompt learning approaches have been explored to efficiently and effec... 详细信息
来源: 评论
KBody: Balanced monocular whole-body estimation
KBody: Balanced monocular whole-body estimation
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2023 ieee/CVF conference on computer vision and pattern recognition workshops, CVPRW 2023
作者: Zioulis, Nikolaos O'Brien, James F. Klothed Technologies Inc. United States Uc Berkeley United States
KBody is a method for fitting a low-dimensional body model to an image. It follows a predict-and-optimize approach, relying on data-driven model estimates for the constraints that will be used to solve for the body... 详细信息
来源: 评论
vision + Language Applications: A Survey
Vision + Language Applications: A Survey
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2023 ieee/CVF conference on computer vision and pattern recognition workshops, CVPRW 2023
作者: Zhou, Yutong Shimada, Nobutaka Ritsumeikan University Shiga Japan
Text-to-image generation has attracted significant interest from researchers and practitioners in recent years due to its widespread and diverse applications across various industries. Despite the progress made in the...
来源: 评论
A case for using rotation invariant features in state of the art feature matchers
A case for using rotation invariant features in state of the...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Bokman, Georg Kahl, Fredrik Chalmers Univ Technol Gothenburg Sweden
The aim of this paper is to demonstrate that a state of the art feature matcher (LoFTR) can be made more robust to rotations by simply replacing the backbone CNN with a steerable CNN which is equivariant to translatio... 详细信息
来源: 评论
SpikingResformer: Bridging ResNet and vision Transformer in Spiking Neural Networks
SpikingResformer: Bridging ResNet and Vision Transformer in ...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Shi, Xinyu Hao, Zecheng Yu, Zhaofei Peking Univ Inst Artificial Intelligence Beijing Peoples R China Peking Univ Sch Comp Sci Beijing Peoples R China
The remarkable success of vision Transformers in Artificial Neural Networks (ANNs) has led to a growing interest in incorporating the self-attention mechanism and transformer-based architecture into Spiking Neural Net... 详细信息
来源: 评论
Active Open-Vocabulary recognition: Let Intelligent Moving Mitigate CLIP Limitations
Active Open-Vocabulary Recognition: Let Intelligent Moving M...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Fan, Lei Zhou, Jianxiong Xing, Xiaoying Wu, Ying Northwestern Univ Evanston IL 60208 USA
Active recognition, which allows intelligent agents to explore observations for better recognition performance, serves as a prerequisite for various embodied AI tasks, such as grasping, navigation and room arrangement... 详细信息
来源: 评论
SnAG: Scalable and Accurate Video Grounding
SnAG: Scalable and Accurate Video Grounding
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Mu, Fangzhou Mo, Sicheng Li, Yin Univ Wisconsin Madison Madison WI 53706 USA
Temporal grounding of text descriptions in videos is a central problem in vision-language learning and video understanding. Existing methods often prioritize accuracy over scalability - they have been optimized for gr... 详细信息
来源: 评论