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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231-240 订阅
排序:
Learning to Predict Activity Progress by Self-Supervised Video Alignment
Learning to Predict Activity Progress by Self-Supervised Vid...
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Donahue, Gerard Elhamifar, Ehsan Northwestern Univ Boston MA 02115 USA
In this paper, we tackle the problem of self-supervised video alignment and activity progress prediction using in-the-wild videos. Our proposed self-supervised representation learning method carefully addresses differ... 详细信息
来源: 评论
Cross-view and Cross-pose Completion for 3D Human Understanding
Cross-view and Cross-pose Completion for 3D Human Understand...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Armando, Matthieu Galaaoui, Salma Baradel, Fabien Lucas, Thomas Leroy, Vincent Bregier, Romain Weinzaepfel, Philippe Rogez, Gregory NAVER LABS Europe Meylan France
Human perception and understanding is a major domain of computer vision which, like many other vision subdomains recently, stands to gain from the use of large models pre-trained on large datasets. We hypothesize that... 详细信息
来源: 评论
Low-Resource vision Challenges for Foundation Models
Low-Resource Vision Challenges for Foundation Models
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Zhang, Yunhua Doughty, Hazel Snoek, Cees G. M. Univ Amsterdam Amsterdam Netherlands Leiden Univ Leiden Netherlands
Low-resource settings are well-established in natural language processing, where many languages lack sufficient data for deep learning at scale. However, low-resource problems are under-explored in computer vision. In...
来源: 评论
RegionGPT: Towards Region Understanding vision Language Model
RegionGPT: Towards Region Understanding Vision Language Mode...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Guo, Qiushan De Mello, Shalini Yin, Hongxu Byeon, Wonmin Cheung, Ka Chun Yu, Yizhou Luo, Ping Liu, Sifei Univ Hong Kong Hong Kong Peoples R China NVIDIA San Francisco CA USA
vision language models (VLMs) have experienced rapid advancements through the integration of large language models (LLMs) with image-text pairs, yet they struggle with detailed regional visual understanding due to lim...
来源: 评论
On the Robustness of Language Guidance for Low-Level vision Tasks: Findings from Depth Estimation
On the Robustness of Language Guidance for Low-Level Vision ...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Chatterjee, Agneet Gokhale, Tejas Baral, Chitta Yang, Yezhou Arizona State Univ Tempe AZ 85281 USA Univ Maryland Baltimore Cty Baltimore MD 21228 USA
Recent advances in monocular depth estimation have been made by incorporating natural language as additional guidance. Although yielding impressive results, the impact of the language prior, particularly in terms of g... 详细信息
来源: 评论
Unlocking Pre-trained Image Backbones for Semantic Image Synthesis
Unlocking Pre-trained Image Backbones for Semantic Image Syn...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Berrada, Tariq Verbeek, Jakob Couprie, Camille Alahari, Karteek Meta FAIR Menlo Pk CA 94025 USA Univ Grenoble Alpes LJK Grenoble INP InriaCNRS Grenoble France
Semantic image synthesis, i.e., generating images from user-provided semantic label maps, is an important conditional image generation task as it allows to control both the content as well as the spatial layout of gen... 详细信息
来源: 评论
H-ViT: A Hierarchical vision Transformer for Deformable Image Registration
H-ViT: A Hierarchical Vision Transformer for Deformable Imag...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Ghahremani, Morteza Khateri, Mohammad Jian, Bailiang Wiestler, Benedikt Adeli, Ehsan Wachinger, Christian Tech Univ Munich Munich Germany Munich Ctr Machine Learning Munich Germany Univ Eastern Finland Espoo Finland Stanford Univ Stanford CA 94305 USA
This paper introduces a novel top-down representation approach for deformable image registration, which estimates the deformation field by capturing various short-and long-range flow features at different scale levels... 详细信息
来源: 评论
On the Faithfulness of vision Transformer Explanations
On the Faithfulness of Vision Transformer Explanations
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Wu, Junyi Kang, Weitai Tang, Hao Hong, Yuan Yan, Yan IIT Dept Comp Sci Chicago IL 60616 USA Carnegie Mellon Univ Robot Inst Pittsburgh PA 15213 USA Univ Connecticut Dept Comp Sci Storrs CT USA
To interpret vision Transformers, post-hoc explanations assign salience scores to input pixels, providing human-understandable heatmaps. However, whether these interpretations reflect true rationales behind the model&... 详细信息
来源: 评论
SleepVST: Sleep Staging from Near-Infrared Video Signals using Pre-Trained Transformers
SleepVST: Sleep Staging from Near-Infrared Video Signals usi...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Carter, Jonathan F. Jorge, Joao Gibson, Oliver Tarassenkol, Lionel Univ Oxford Inst Biomed Engn Oxford England Oxehealth Ltd Oxford England
Advances in camera-based physiological monitoring have enabled the robust, non-contact measurement of respiration and the cardiac pulse, which are known to be indicative of the sleep stage. This has led to research in... 详细信息
来源: 评论
Task-aligned Part-aware Panoptic Segmentation through Joint Object-Part Representations
Task-aligned Part-aware Panoptic Segmentation through Joint ...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: de Geus, Daan Dubbelman, Gijs Eindhoven Univ Technol Eindhoven Netherlands
Part-aware panoptic segmentation (PPS) requires (a) that each foreground object and background region in an image is segmented and classified, and (b) that all parts within foreground objects are segmented, classified... 详细信息
来源: 评论