Suchergebnisse - 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 von IEEE/CVF Conference on Computer Vision and Pattern Recognition, Institute of Electrical and Electronics Engineers

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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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Collecting Cross-Modal Presence-Absence Evidence for Weakly-Supervised Audio- Visual Event Perception von 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 von 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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CVPR 2019: Call for Papers Deadline November 16: The 30th IEEE/CVF Conference on Computer Vision and Pattern Recognition

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BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision von 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 von 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 von 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 von 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 von 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 von 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 von 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 von 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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AdaFace: Quality Adaptive Margin for Face Recognition von 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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MagFace: A Universal Representation for Face Recognition and Quality Assessment von 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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Improving Calibration for Long-Tailed Recognition von 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 von 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 von 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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ArcFace: Additive Angular Margin Loss for Deep Face Recognition von Deng, Jiankang, Guo, Jia, Xue, Niannan, Zafeiriou, Stefanos

“… ) for large-scale face recognition is the design of appropriate loss functions that can enhance the discriminative power …”
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Actional-Structural Graph Convolutional Networks for Skeleton-Based Action Recognition von Li, Maosen, Chen, Siheng, Chen, Xu, Zhang, Ya, Wang, Yanfeng, Tian, Qi

“… Action recognition with skeleton data has recently attracted much attention in computer vision …”
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