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检索条件"任意字段=1994 IEEE Computer-Society Conference on Computer Vision and Pattern Recognition"
22886 条 记 录,以下是311-320 订阅
排序:
DiffAssemble: A Unified Graph-Diffusion Model for 2D and 3D Reassembly
DiffAssemble: A Unified Graph-Diffusion Model for 2D and 3D ...
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Scarpellini, Gianluca Fiorini, Stefano Giuliari, Francesco Morerio, Pietro Del Bue, Alessio Ist Italiano Tecnol IIT Pattern Anal & Comp Vis PAVIS Genoa Italy
Reassembly tasks play a fundamental role in many fields and multiple approaches exist to solve specific reassembly problems. In this context, we posit that a general unified model can effectively address them all, irr... 详细信息
来源: 评论
Grounded Question-Answering in Long Egocentric Videos
Grounded Question-Answering in Long Egocentric Videos
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Di, Shangzhe Xie, Weidi Shanghai Jiao Tong Univ CMIC Shanghai Peoples R China Shanghai AI Lab Shanghai Peoples R China
Existing approaches to video understanding, mainly designed for short videos from a third-person perspective, are limited in their applicability in certain fields, such as robotics. In this paper, we delve into open-e... 详细信息
来源: 评论
Material Palette: Extraction of Materials from a Single Image
Material Palette: Extraction of Materials from a Single Imag...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Lopes, Ivan Pizzati, Fabio de Charette, Raoul INRIA Paris France Univ Oxford Oxford England
Physically-Based Rendering (PBR) is key to modeling the interaction between light and materials, and finds extensive applications across computer graphics domains. However, acquiring PBR materials is costly and requir... 详细信息
来源: 评论
RMem: Restricted Memory Banks Improve Video Object Segmentation
RMem: Restricted Memory Banks Improve Video Object Segmentat...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Zhou, Junbao Pang, Ziqi Wang, Yu-Xiong Univ Illinois Champaign IL 61820 USA
With recent video object segmentation (VOS) benchmarks evolving to challenging scenarios, we revisit a sim-ple but overlooked strategy: restricting the size of memory banks. This diverges from the prevalent practice o... 详细信息
来源: 评论
Towards Understanding and Improving Adversarial Robustness of vision Transformers
Towards Understanding and Improving Adversarial Robustness o...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Jain, Samyak Dutta, Tanima Indian Inst Technol BHU Varanasi Varanasi Uttar Pradesh India
Recent literature has demonstrated that vision transformers (VITs) exhibit superior performance compared to convolutional neural networks (CNNs). The majority of recent research on adversarial robustness, however, has... 详细信息
来源: 评论
Learning unbiased classifiers from biased data with meta-learning
Learning unbiased classifiers from biased data with meta-lea...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Ragonesi, Ruggero Morerio, Pietro Murino, Vittorio Ist Italiano Tecnol Pattern Anal & Comp Vis PAVIS Genoa Italy Univ Verona Dept Comp Sci Verona Italy
It is well known that large deep architectures are powerful models when adequately trained, but may exhibit undesirable behavior leading to confident incorrect predictions, even when evaluated on slightly different te... 详细信息
来源: 评论
SpatialVLM: Endowing vision-Language Models with Spatial Reasoning Capabilities
SpatialVLM: Endowing Vision-Language Models with Spatial Rea...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Chen, Boyuan Xu, Zhuo Kirman, Sean Ichter, Brian Sadigh, Dorsa Guibas, Leonidas Xia, Fei Google DeepMind London England Google Res Mountain View CA USA MIT 77 Massachusetts Ave Cambridge MA 02139 USA
Understanding and reasoning about spatial relationships is a fundamental capability for Visual Question Answering (VQA) and robotics. While vision Language Models (VLM) have demonstrated remarkable performance in cert... 详细信息
来源: 评论
THRONE: An Object-based Hallucination Benchmark for the Free-form Generations of Large vision-Language Models
THRONE: An Object-based Hallucination Benchmark for the Free...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Kaul, Prannay Li, Zhizhong Yang, Hao Dukler, Yonatan Swaminathan, Ashwin Taylor, C. J. Soatto, Stefano Univ Oxford VGG Oxford England AWS AI Labs Oxford England
Mitigating hallucinations in large vision-language models (LVLMs) remains an open problem. Recent benchmarks do not address hallucinations in open-ended free-form responses, which we term "Type I hallucinations&q... 详细信息
来源: 评论
Random Entangled Tokens for Adversarially Robust vision Transformer
Random Entangled Tokens for Adversarially Robust Vision Tran...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Gong, Huihui Dong, Mingjing Mao, Siqi Camtepe, Seyit Nepal, Surya Xu, Chang Univ Sydney Sydney NSW Australia CSIRO Data61 Eveleigh Australia City Univ Hong Kong Hong Kong Peoples R China Univ New South Wales Sydney NSW Australia
vision Transformers (ViTs) have emerged as a compelling alternative to Convolutional Neural Networks ( CNNs) in the realm of computer vision, showcasing tremendous potential. However, recent research has unveiled a su... 详细信息
来源: 评论
Multiscale vision Transformers meet Bipartite Matching for efficient single-stage Action Localization
Multiscale Vision Transformers meet Bipartite Matching for e...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Ntinou, Ioanna Sanchez, Enrique Tzimiropoulos, Georgios Queen Mary Univ London London England Samsung AI Ctr Cambridge Cambridge England
Action Localization is a challenging problem that combines detection and recognition tasks, which are often addressed separately. State-of-the-art methods rely on off-the-shelf bounding box detections pre-computed at ... 详细信息
来源: 评论