Výsledky vyhledávání - IEEE/CVF Conference on Computer Vision AND Pattern Recognition*

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2018) : Salt Lake City, Utah, USA 18-22 June 2018 Autor IEEE/CVF Conference on Computer Vision and Pattern Recognition, Institute of Electrical and Electronics Engineers

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Collecting Cross-Modal Presence-Absence Evidence for Weakly-Supervised Audio- Visual Event Perception Autor Gao, Junyu, Chen, Mengyuan, Xu, Changsheng

“…With only video-level event labels, this paper targets at the task of weakly-supervised audio-visual event perception (WS-AVEP), which aims to temporally…”
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Subspace-PnP: A Geometric Constraint Loss for Mutual Assistance of Depth and Optical Flow Estimation Autor Chi, Cheng, Hao, Tianyu, Wang, Qingjie, Guo, Peng, Yang, Xin

“…, in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp 4654–4665, 2020; Ranjan et al., in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp 12240…”
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Record-Breaking Registrants and Technical Papers for 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

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CVPR 2019: Call for Papers Deadline November 16: The 30th IEEE/CVF Conference on Computer Vision and Pattern Recognition

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EV-Gait: Event-Based Robust Gait Recognition Using Dynamic Vision Sensors Autor Wang, Yanxiang, Du, Bowen, Shen, Yiran, Wu, Kai, Zhao, Guangrong, Sun, Jianguo, Wen, Hongkai

“… However, those cameras only produce noisy and asynchronous events of intensity changes rather than frames, where conventional vision-based gait recognition algorithms can't be directly applied…”
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BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision Autor Yang, Chenyu, Chen, Yuntao, Tian, Hao, Tao, Chenxin, Zhu, Xizhou, Zhang, Zhaoxiang, Huang, Gao, Li, Hongyang, Qiao, Yu, Lu, Lewei, Zhou, Jie, Dai, Jifeng

“…We present a novel bird's-eye-view (BEV) detector with perspective supervision, which converges faster and bet-suits modern image backbones…”
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AdaViT: Adaptive Vision Transformers for Efficient Image Recognition Autor Meng, Lingchen, Li, Hengduo, Chen, Bor-Chun, Lan, Shiyi, Wu, Zuxuan, Jiang, Yu-Gang, Lim, Ser-Nam

“…Built on top of self-attention mechanisms, vision transformers have demonstrated remarkable performance on a variety of tasks recently…”
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MeMViT: Memory-Augmented Multiscale Vision Transformer for Efficient Long-Term Video Recognition Autor Wu, Chao-Yuan, Li, Yanghao, Mangalam, Karttikeya, Fan, Haoqi, Xiong, Bo, Malik, Jitendra, Feichtenhofer, Christoph

“…While today's video recognition systems parse snapshots or short clips accurately, they cannot connect the dots and reason across a longer range of time yet…”
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Exploring Self-Attention for Image Recognition Autor Zhao, Hengshuang, Jia, Jiaya, Koltun, Vladlen

“…Recent work has shown that self-attention can serve as a basic building block for image recognition models…”
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Revisiting Skeleton-based Action Recognition Autor Duan, Haodong, Zhao, Yue, Chen, Kai, Lin, Dahua, Dai, Bo

“… Many skeleton-based action recognition methods adopt GCNs to extract features on top of human skeletons…”
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X3D: Expanding Architectures for Efficient Video Recognition Autor Feichtenhofer, Christoph

“…This paper presents X3D, a family of efficient video networks that progressively expand a tiny 2D image classification architecture along multiple network…”
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Skeleton-Based Action Recognition With Shift Graph Convolutional Network Autor Cheng, Ke, Zhang, Yifan, He, Xiangyu, Chen, Weihan, Cheng, Jian, Lu, Hanqing

“…Action recognition with skeleton data is attracting more attention in computer vision…”
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Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition Autor Liu, Ziyu, Zhang, Hongwen, Chen, Zhenghao, Wang, Zhiyong, Ouyang, Wanli

“…Spatial-temporal graphs have been widely used by skeleton-based action recognition algorithms to model human action dynamics…”
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MagFace: A Universal Representation for Face Recognition and Quality Assessment Autor Meng, Qiang, Zhao, Shichao, Huang, Zhida, Zhou, Feng

“…The performance of face recognition system degrades when the variability of the acquired faces increases…”
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AdaFace: Quality Adaptive Margin for Face Recognition Autor Kim, Minchul, Jain, Anil K., Liu, Xiaoming

“…Recognition in low quality face datasets is challenging because facial attributes are obscured and degraded…”
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Improving Calibration for Long-Tailed Recognition Autor Zhong, Zhisheng, Cui, Jiequan, Liu, Shu, Jia, Jiaya

“…Deep neural networks may perform poorly when training datasets are heavily class-imbalanced. Recently, two-stage methods decouple representation learning and…”
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From Recognition to Cognition: Visual Commonsense Reasoning Autor Zellers, Rowan, Bisk, Yonatan, Farhadi, Ali, Choi, Yejin

“…Visual understanding goes well beyond object recognition. With one glance at an image, we can effortlessly imagine the world beyond the pixels…”
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BBN: Bilateral-Branch Network With Cumulative Learning for Long-Tailed Visual Recognition Autor Zhou, Boyan, Cui, Quan, Wei, Xiu-Shen, Chen, Zhao-Min

“…Our work focuses on tackling the challenging but natural visual recognition task of long-tailed data distribution (i.e…”
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CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition Autor Huang, Yuge, Wang, Yuhan, Tai, Ying, Liu, Xiaoming, Shen, Pengcheng, Li, Shaoxin, Li, Jilin, Huang, Feiyue

“…As an emerging topic in face recognition, designing margin-based loss functions can increase the feature margin between different classes for enhanced discriminability…”
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