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检索条件"任意字段=IEEE-Computer-Society Conference on Computer Vision and Pattern Recognition Workshops"
8966 条 记 录,以下是931-940 订阅
排序:
Supervised Contrastive Replay: Revisiting the Nearest Class Mean Classifier in Online Class-Incremental Continual Learning
Supervised Contrastive Replay: Revisiting the Nearest Class ...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Mai, Zheda Li, Ruiwen Kim, Hyunwoo Sanner, Scott Univ Toronto Toronto ON Canada LG AI Res Seoul South Korea
Online class-incremental continual learning (CL) studies the problem of learning new classes continually from an online non-stationary data stream, intending to adapt to new data while mitigating catastrophic forgetti... 详细信息
来源: 评论
Appearance-based Gaze Estimation using Attention and Difference Mechanism
Appearance-based Gaze Estimation using Attention and Differe...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Murthy, L. R. D. Biswas, Pradipta Indian Inst Sci CPDM I3D Lab Bangalore Karnataka India
Appearance-based gaze estimation problem received wide attention over the past few years. Even though model-based approaches existed earlier, availability of large datasets and novel deep learning techniques made appe... 详细信息
来源: 评论
A Study on the Relative Importance of Convolutional Neural Networks in Visually-Aware Recommender Systems
A Study on the Relative Importance of Convolutional Neural N...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Deldjoo, Yashar Di Noia, Tommaso Malitesta, Daniele Merra, Felice Antonio Politecn Bari Bari Italy
Visually-aware recommender systems (VRSs) enhance the semantics of user-item interactions with visual features extracted from item images when they are available. Traditionally, VRSs leverage the representational powe... 详细信息
来源: 评论
ST-Gait++: Leveraging spatio-temporal convolutions for gait-based emotion recognition on videos
ST-Gait++: Leveraging spatio-temporal convolutions for gait-...
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ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Maria Luísa Lima Willams de Lima Costa Estefania Talavera Martínez Veronica Teichrieb Voxar Labs Centro de Informática Universidade Federal de Pernambuco Recife Brazil University of Twente Enschede Netherlands
Emotion recognition is relevant for human behaviour understanding, where facial expression and speech recognition have been widely explored by the computer vision community. Literature in the field of behavioural psyc... 详细信息
来源: 评论
Determining Dendrometry Using Drone Scouting, Convolutional Neural Networks and Point Clouds
Determining Dendrometry Using Drone Scouting, Convolutional ...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Jensen, Kim Krogh, Oskar Kondrup Jorgensen, Marius Willemoes Lehotsky, Daniel Andersen, Anton Bock Porqueras, Ernest Sondergaard, Jens Aksel S. Gade, Rikke Aalborg Univ Dept Elect Syst Aalborg Denmark TeeJet Technol Aabybro Denmark Aalborg Univ Sect Media Technol Aalborg Denmark
This paper presents a solution for mapping the location of trees in an orchard and estimating the dendrometric data of the trees. The combined solution consists of a mapping and navigation algorithm, which allows for ... 详细信息
来源: 评论
HaLViT: Half of the Weights are Enough
HaLViT: Half of the Weights are Enough
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ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Onur Can Koyun Behçet Uğur Töreyin Dept. of Artificial Intelligence and Data Engineering Informatics Institute Signal Processing for Computational Intelligence Research Group (SP4CING) İstanbul Technical University İstanbul Türkiye
Deep learning architectures like Transformers and Convolutional Neural Networks (CNNs) have led to ground-breaking advances across numerous fields. However, their extensive need for parameters poses challenges for imp... 详细信息
来源: 评论
FlowIBR: Leveraging Pre-Training for Efficient Neural Image-Based Rendering of Dynamic Scenes
FlowIBR: Leveraging Pre-Training for Efficient Neural Image-...
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ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Marcel Büsching Josef Bengtson David Nilsson Mårten Björkman KTH Royal Insitute of Technology Chalmers University of Technology
We introduce FlowIBR, a novel approach for efficient monocular novel view synthesis of dynamic scenes. Existing techniques already show impressive rendering quality but tend to focus on optimization within a single sc... 详细信息
来源: 评论
Graph-based Person Signature for Person Re-Identifications
Graph-based Person Signature for Person Re-Identifications
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Nguyen, Binh X. Nguyen, Binh D. Do, Tuong Tjiputra, Erman Tran, Quang D. Nguyen, Anh AIOZ Singapore Singapore Imperial Coll London London England
The task of person re-identification (ReID) is to match images of the same person over multiple non-overlapping camera views. Due to the variations in visual factors, previous works have investigated how the person id... 详细信息
来源: 评论
vision + Language Applications: A Survey
Vision + Language Applications: A Survey
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ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Yutong Zhou Nobutaka Shimada 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
SAIL-VOS 3D: A Synthetic Dataset and Baselines for Object Detection and 3D Mesh Reconstruction from Video Data
SAIL-VOS 3D: A Synthetic Dataset and Baselines for Object De...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Hu, Yuan-Ting Wang, Jiahong Yeh, Raymond A. Schwing, Alexander G. Univ Illinois Champaign IL 61820 USA
Extracting detailed 3D information of objects from video data is an important goal for holistic scene understanding. While recent methods have shown impressive results when reconstructing meshes of objects from a sing... 详细信息
来源: 评论