Conference : Proceedings of the IEEE/CVF International Conference on Computer Vision Url:https://ope...
In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 9209-9218. 2021. 发布于 2023-10-26 22:23 赞同438 条评论 分享收藏喜欢收起Frossmann cs青椒退坑 关注 45 人赞同了该回答 我来歪个楼。 嘿嘿,本来没准备关注的,但是挡不住他们...
Yichao Cao, Qingfei Tang, Feng Yang, Xiu Su, Shan You, Xiaobo Lu, Chang Xu; Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023, pp. 23492-23503 Abstract Human-Object Interaction (HOI) detection is a challenging c...
Peiqi Jiao, Yuecong Min, Yanan Li, Xiaotao Wang, Lei Lei, Xilin Chen; Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023, pp. 20676-20686 Abstract The co-occurrence signals (e.g., hand shape, facial...
本文介绍一篇发表在ICCV 2023上的工作, 提出了一种全新的视频异常检测方法,称为运动条件引导的扩散模型MoCoDAD 。该模型主要针对于视频中人体的骨骼表示进行建模, 并假设视频中出现的正常现象与异常现象都是多模态的,提出使用扩散模型来对人体未来姿态进行预测 。通过将视频中行人的历史运动作为条件,利用扩散过程中的迭...
[1] Wang, H., Shi, C., Shi, S., Lei, M., Wang, S., He, D., Schiele, B. and Wang, L., 2023. Dsvt: Dynamic sparse voxel transformer with rotated sets. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 13520-13529). ...
[4] Zhaodong Chen, Lei Deng, Bangyan Wang, Guoqi Li, and Yuan Xie. A comprehensive and modularized statistical framework for gradient norm equality in deep neural networks. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(1):13–31, 2022. ...
[2] HONG Y, PENG B, XIAO H, et al. Headnerf: A real-time nerf-based parametric head model[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2022: 20374-20384. [3] WANG X, LI Y, ZHANG H, et al. Towards real-world blind face restoration with...
[5] Weijing Shi and Raj Rajkumar. Point-gnn: Graph neural network for 3d object detection in a point cloud. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pages 1711–1719, 2020...
总之,R3D3方法为动态场景的密集三维重建和自我运动估计提供了一种有效的解决方案。 [1] Zhou T, Brown M, Snavely N, et al. Unsupervised learning of depth and ego-motion from video[C]//Proceedings of the IEEE conference on computer vision and pattern recognition. 2017: 1851-1858....