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检索条件"任意字段=IEEE Conference on Computer Vision and Pattern Recognition Workshops"
23228 条 记 录,以下是961-970 订阅
ULIP-2: Towards Scalable Multimodal Pre-training for 3D Understanding
ULIP-2: Towards Scalable Multimodal Pre-training for 3D Unde...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Xue, Le Yu, Ning Zhang, Shu Panagopoulou, Artemis Li, Junnan Martin-Martin, Roberto Wu, Jiajun Xiong, Caiming Xu, Ran Niebles, Juan Carlos Savarese, Silvio Salesforce AI Res San Francisco CA 94105 USA Stanford Univ Stanford CA USA Univ Penn Philadelphia PA USA Univ Texas Austin Austin TX USA
Recent advancements in multimodal pre-training have shown promising efficacy in 3D representation learning by aligning multimodal features across 3D shapes, their 2D counterparts, and language descriptions. However, t... 详细信息
来源: 评论
Multiple Degradation and Reconstruction Network for Single Image Denoising via Knowledge Distillation
Multiple Degradation and Reconstruction Network for Single I...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Li, Juncheng Yang, Hanhui Yi, Qiaosi Fang, Faming Gao, Guangwei Zeng, Tieyong Zhang, Guixu Chinese Univ Hong Kong Hong Kong Peoples R China East China Normal Univ Shanghai Peoples R China Nanjing Univ Posts & Telecommun Nanjing Peoples R China
Single image denoising (SID) has achieved significant breakthroughs with the development of deep learning. However, the proposed methods are often accompanied by plenty of parameters, which greatly limits their applic... 详细信息
来源: 评论
Goal-driven Self-Attentive Recurrent Networks for Trajectory Prediction
Goal-driven Self-Attentive Recurrent Networks for Trajectory...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Chiara, Luigi Filippo Coscia, Pasquale Das, Sourav Calderara, Simone Cucchiara, Rita Ballan, Lamberto Univ Padua Padua Italy Univ Modena & Reggio Emilia Modena Italy
Human trajectory forecasting is a key component of autonomous vehicles, social-aware robots and advanced video-surveillance applications. This challenging task typically requires knowledge about past motion, the envir... 详细信息
来源: 评论
TikTok for good: Creating a diverse emotion expression database
TikTok for good: Creating a diverse emotion expression datab...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Surabhi, Saimourya Shah, Bhavik Washington, Peter Mutlu, Onur Cezmi Leblanc, Emilie Mohite, Prathamesh Husic, Arman Kline, Aaron Dunlap, Kaitlyn McNealis, Maya Liu, Bennett Deveaux, Nick Sleiman, Essam Wall, Dennis P. Stanford Univ Dept Biomed Data Sci Dept Pediat Syst Med Stanford CA 94305 USA Stanford Univ Dept Psychiat & Behav Sci Stanford CA 94305 USA
Facial expression recognition (FER) is a critical computer vision task for a variety of applications. Despite the widespread use of FER, there is a dearth of racially diverse facial emotion datasets which are enriched... 详细信息
来源: 评论
CFA: Constraint-based Finetuning Approach for Generalized Few-Shot Object Detection
CFA: Constraint-based Finetuning Approach for Generalized Fe...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Guirguis, Karim Hendawy, Ahmed Eskandar, George Abdelsamad, Mohamed Kayser, Matthias Beyerer, Juergen Robert Bosch GmbH Stuttgart Germany Univ Stuttgart Stuttgart Germany Karlsruhe Inst Technol Karlsruhe Germany Fraunhofer IOSB Karlsruhe Germany
Few-shot object detection (FSOD) seeks to detect novel categories with limited data by leveraging prior knowledge from abundant base data. Generalized few-shot object detection (G-FSOD) aims to tackle FSOD without for... 详细信息
来源: 评论
Semi-Supervised Hyperspectral Object Detection Challenge Results - PBVS 2022
Semi-Supervised Hyperspectral Object Detection Challenge Res...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Rangnekar, Aneesh Mulhollan, Zachary Vodacek, Anthony Hoffman, Matthew Sappa, Angel Blasch, Erik Yu, Jun Zhang, Liwen Du, Shenshen Chang, Hao Lu, Keda Zhang, Zhong Gao, Fang Yu, Ye Shuang, Feng Wang, Lei Ling, Qiang Shyam, Pranjay Yoon, Kuk-Jin Kim, Kyung-Soo Rochester Inst Technol Rochester NY 14623 USA ESPOL Polytech Univ Guayaquil Ecuador Comp Vision Ctr Campus UAB Barcelona Spain US Air Force Res Lab Rome NY USA
This paper summarizes the top contributions to the first semi-supervised hyperspectral object detection (SSHOD) challenge, which was organized as a part of the Perception Beyond the Visible Spectrum (PBVS) 2022 worksh... 详细信息
来源: 评论
M2FNet: Multi-modal Fusion Network for Emotion recognition in Conversation
M2FNet: Multi-modal Fusion Network for Emotion Recognition i...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Chudasama, Vishal Kar, Purbayan Gudmalwar, Ashish Shah, Nirmesh Wasnik, Pankaj Onoe, Naoyuki Sony Res India Media Anal Grp Bangalore Karnataka India
Emotion recognition in Conversations (ERC) is crucial in developing sympathetic human-machine interaction. In conversational videos, emotion can be present in multiple modalities, i.e., audio, video, and transcript. H... 详细信息
来源: 评论
Focused Feature Differentiation Network for Image Quality Assessment
Focused Feature Differentiation Network for Image Quality As...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: He, Gang Wang, Yong Xu, Li Zhang, Wenli Sun, Ming Wen, Xing Xidian Univ Xian Peoples R China Kuaishou Technol Beijing Peoples R China
Image quality assessment (IQA) intended to assess the perceptual quality of images has been an essential problem in both human and machine vision. Recently, with the help of deep neural network (DNN), IQA algorithms c... 详细信息
来源: 评论
Hybrid Consistency Training with Prototype Adaptation for Few-Shot Learning
Hybrid Consistency Training with Prototype Adaptation for Fe...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Ye, Meng Lin, Xiao Burachas, Giedrius Divakaran, Ajay Yao, Yi SRI Int 333 Ravenswood Ave Menlo Pk CA 94025 USA
Few-Shot Learning (FSL) aims to improve a model's generalization capability in low data regimes. Recent FSL works have made steady progress via metric learning, meta learning, representation learning, etc. However... 详细信息
来源: 评论
Is Neuron Coverage Needed to Make Person Detection More Robust?
Is Neuron Coverage Needed to Make Person Detection More Robu...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Pavlitskaya, Svetlana Yikmis, Siyar Zoellner, J. Marius FZI Res Ctr Informat Technol D-76131 Karlsruhe Germany
The growing use of deep neural networks (DNNs) in safety- and security-critical areas like autonomous driving raises the need for their systematic testing. Coverage-guided testing (CGT) is an approach that applies mut... 详细信息
来源: 评论