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检索条件"任意字段=1994 IEEE Computer-Society Conference on Computer Vision and Pattern Recognition"
22906 条 记 录,以下是221-230 订阅
排序:
HybridNeRF: Efficient Neural Rendering via Adaptive Volumetric Surfaces
HybridNeRF: Efficient Neural Rendering via Adaptive Volumetr...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Turki, Haithem Agrawal, Vasu Bulo, Samuel Rota Porzi, Lorenzo Kontschieder, Peter Ramanan, Deva Zollhofer, Michael Richardt, Christian Meta Real Labs Menlo Pk CA 94025 USA Carnegie Mellon Univ Pittsburgh PA 15213 USA
Neural radiance fields provide state-of-the-art view synthesis quality but tend to be slow to render. One reason is that they make use of volume rendering, thus requiring many samples (and model queries) per ray at re... 详细信息
来源: 评论
PairDETR : Joint Detection and Association of Human Bodies and Faces
PairDETR : Joint Detection and Association of Human Bodies a...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Ali, Ammar Gaikov, Georgii Rybalchenko, Denis Chigorin, Alexander Laptev, Ivan Zagoruyko, Sergey MTS AI ITMO Moscow Russia MTS AI Moscow Russia VisionLabs Hyderabad Telangana India MBZUAI Abu Dhabi U Arab Emirates MTS AI Skoltech Moscow Russia
Image and video analysis requires not only accurate object detection but also the understanding of relationships among detected objects. Common solutions to relation modeling typically resort to stand-alone object det... 详细信息
来源: 评论
SocialCounterfactuals: Probing and Mitigating Intersectional Social Biases in vision-Language Models with Counterfactual Examples
SocialCounterfactuals: Probing and Mitigating Intersectional...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Howard, Phillip Madasu, Avinash Le, Tiep Moreno, Gustavo Lujan Bhiwandiwalla, Anahita Lal, Vasudev Intel Labs Santa Clara CA 95052 USA
While vision-language models (VLMs) have achieved remarkable performance improvements recently, there is growing evidence that these models also posses harmful biases with respect to social attributes such as gender a... 详细信息
来源: 评论
WALT3D: Generating Realistic Training Data from Time-Lapse Imagery for Reconstructing Dynamic Objects under Occlusion
WALT3D: Generating Realistic Training Data from Time-Lapse I...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Khiem Vuong Reddy, N. Dinesh Tamburo, Robert Narasimhan, Srinivasa G. Carnegie Mellon Univ Pittsburgh PA 15213 USA Amazon Seattle WA USA
Current methods for 2D and 3D object understanding struggle with severe occlusions in busy urban environments, partly due to the lack of large-scale labeled groundtruth annotations for learning occlusion. In this work... 详细信息
来源: 评论
Context-based and Diversity-driven Specificity in Compositional Zero-Shot Learning
Context-based and Diversity-driven Specificity in Compositio...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Li, Yun Liu, Zhe Chen, Hang Yao, Lina CSIROs Data61 Clayton Vic Australia Bytedance Ltd Beijing Peoples R China Snap Inc Santa Monica CA USA
Compositional Zero-Shot Learning (CZSL) aims to recognize unseen attribute-object pairs based on a limited set of observed examples. Current CZSL methodologies, despite their advancements, tend to neglect the distinct... 详细信息
来源: 评论
Perturbing Attention Gives You More Bang for the Buck: Subtle Imaging Perturbations That Efficiently Fool Customized Diffusion Models
Perturbing Attention Gives You More Bang for the Buck: Subtl...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Xu, Jingyao Lu, Yuetong Li, Yandong Lu, Siyang Wang, Dongdong Wei, Xiang Beijing Jiaotong Univ Beijing Peoples R China Google Res Mountain View CA USA Univ Cent Florida Orlando FL 32816 USA
Diffusion models ( DMs) embark a new era of generative modeling and offer more opportunities for efficient generating high- quality and realistic data samples. However, their widespread use has also brought forth new ... 详细信息
来源: 评论
Action Scene Graphs for Long-Form Understanding of Egocentric Videos
Action Scene Graphs for Long-Form Understanding of Egocentri...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Rodin, Ivan Furnari, Antonino Min, Kyle Tripathi, Subarna Farinella, Giovanni Maria Univ Catania Catania Italy Intel Labs Hillsboro OR USA
We present Egocentric Action Scene Graphs (EASGs), a new representation for long-form understanding of egocentric videos. EASGs extend standard manually-annotated representations of egocentric videos, such as verb-nou... 详细信息
来源: 评论
Towards 3D vision with Low-Cost Single-Photon Cameras
Towards 3D Vision with Low-Cost Single-Photon Cameras
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Mu, Fangzhou Sifferman, Carter Jungerman, Sacha Li, Yiquan Han, Mark Gleicher, Michael Gupta, Mohit Li, Yin Univ Wisconsin Madison WI 53706 USA
We present a method for reconstructing 3D shape of arbitrary Lambertian objects based on measurements by miniature, energy-efficient, low-cost single-photon cameras. These cameras, operating as time resolved image sen...
来源: 评论
Probing the 3D Awareness of Visual Foundation Models
Probing the 3D Awareness of Visual Foundation Models
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: El Banani, Mohamed Raj, Amit Maninis, Kevis-Kokitsi Kar, Abhishek Li, Yuanzhen Rubinstein, Michael Sun, Deqing Guibas, Leonidas Johnson, Justin Jampani, Varun Univ Michigan Ann Arbor MI 48109 USA Google Mountain View CA 94043 USA Stability AI London ON Canada
Recent advances in large-scale pretraining have yielded visual foundation models with strong capabilities. Not only can recent models generalize to arbitrary images for their training task, their intermediate represen... 详细信息
来源: 评论
Efficient Test-Time Adaptation of vision-Language Models
Efficient Test-Time Adaptation of Vision-Language Models
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Karmanov, Adilbek Guan, Dayan Lu, Shijian El Saddik, Abdulmotaleb Xing, Eric Mohamed bin Zayed Univ Artificial Intelligence Abu Dhabi U Arab Emirates Nanyang Technol Univ Singapore Singapore Univ Ottawa Ottawa ON Canada Carnegie Mellon Univ Pittsburgh PA 15213 USA
Test-time adaptation with pre-trained vision-language models has attracted increasing attention for tackling distribution shifts during the test time. Though prior studies have achieved very promising performance, the...
来源: 评论