CVPR 2024 共收到 11532 篇有效论文(同比2023年增长26%),有2,719篇论文被接受,总体接受率为23.6%,90篇(3.3%)论文被选为 oral talks(优秀论文),324篇(11.9%)的论文因其高质量和潜在影响而被审计委员会选为“highlights”。 以下是24 篇有资格角逐今年最佳论文(Best Paper)的工作,快来选出你觉得最有可能成...
CVPR2024视频领域paper with code集锦 目前的视频生成算法还处于初级阶段。还需要将很多视频语义理解动作生成的经典算法能力align到视频生成算法中。我花了个下午的时间盘了下整个CVPR2024年的所有视频领域的论文,将有代码的paper都集合到这里了。有些论文作者承诺公开代码但还没有公开。 其中,meta 的视频生成视频的算法...
Paper: https://arxiv.org/pdf/2312.02158.pdf Code: https://github.com/astra-vision/PaSCo 4)OCC: Occupancy Prediction | 占用感知 SelfOcc: Self-Supervised Vision-Based 3D Occupancy Prediction Paper: https://arxiv.org/pdf/2311.12754.pdf Code: https://github.com/huang-yh/SelfOcc Cam4DOcc: B...
Feb 15:Book Your Hotel Feb 9:List of Accepted Workshops Jan 9:TheCall for Demonstrationshas been posted Nov 7: Latest CVPR 2025 Clarification and Q&A:Here Oct 22:TheCall For Tutorial Proposalshas been posted. Call for Papers has been posted!See detailshere. ...
Feb 27: We thank the CVPR 2024 sponsors for supporting the conference Feb 27: List of Tutorials Feb 6: List of Accepted Workshops Nov 28: Registration is open. Oct 23: The paper submission deadline has been extended to November 17 11:59pm Pacific Time. The paper registration deadline...
* 2024-DART: Implicit Doppler Tomography for Radar Novel View Synthesis __`CVPR`__;[Paper](https://arxiv.org/abs/2403.03896); [Codes](https://github.com/WiseLabCMU/dart) * 2023-Data-driven Spatial Super-Resolution for FMCW mmWave Sensing Systems [Paper](https://ieeexplore.ieee.org/...
Computer Vision and Pattern Recognition is a massive conference. In2024alone,11,532papers were submitted, and2,719were accepted. I created this repository to help you search for crème de la crème of CVPR publications. If the paper you are looking for is not on my short list, take a peek...
Hangjie Yuan, Shiwei Zhang, Xiang Wang, Yujie Wei, Tao Feng, Yining Pan, Yingya Zhang, Ziwei Liu, Samuel Albanie, Dong Ni; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024, pp. 6463-6474 Abstract Diffusion ...
总有一些你不认识的人,知道你想知道的东西。PaperWeekly 或许可以成为一座桥梁,促使不同背景、不同方向的学者和学术灵感相互碰撞,迸发出更多的可能性。 PaperWeekly 鼓励高校实验室或个人,在我们的平台上分享各类优质内容,可以是最新论文解读,也可以是学术热点剖析、科研心得或竞赛经验讲解等。我们的目的只有一个,让知...
GPUs thus hindering deployment efficiency significantly. In this paper we devise a one-shot training-searching paradigm for mixed-precision model compression. Specifically in the first stage all potential bit-width configurations are coupled and thus optimized simultaneously within a set of shared ...