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Venues会议/期刊 › CVPR 2024

CVPR 2024 · papers论文

3 embodied-AI and robotics papers accepted at CVPR 2024, 2 with code.3 篇被 CVPR 2024 接收的具身智能与机器人论文,其中 2 篇附代码。

arXiv papers are listed when their arXiv comment says they were accepted (e.g. 'Accepted to CoRL 2026'); papers that do not say so are missing, and the list grows as authors post camera-ready versions. Curated entries carry a hand-checked venue. For CoRL 2026 the official program is used as well.arXiv 论文仅在其 arXiv 备注写明已被接收(如 “Accepted to CoRL 2026”)时列入;未注明的论文不会出现,列表会随作者上传终稿而增加。精选条目的会议/期刊信息经过人工核对。CoRL 2026 另依据官方日程。

Search within this venue series →在该会议/期刊系列中搜索 →

Curated精选 (3)

Dataset数据集 2023 · Meta AI and university partners CVPR 2024

Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives

Time-synced first-person and third-person video of people performing skilled activities (cooking, sports, repair...), with rich annotations; a large source for learning manipulation skills from humans.人们进行技能活动(烹饪、运动、维修等)时同步采集的第一人称与第三人称视频,附丰富标注,是从人类视频学习操作技能的重要数据来源。

BibTeX
@misc{grauman2023ego,
  title = {{Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives}},
  author = {Kristen Grauman and Andrew Westbury and Lorenzo Torresani and Kris Kitani and Jitendra Malik and Triantafyllos Afouras and Kumar Ashutosh and Vijay Baiyya and Siddhant Bansal and Bikram Boote and Eugene Byrne and Zach Chavis and Joya Chen and Feng Cheng and Fu-Jen Chu and Sean Crane and Avijit Dasgupta and Jing Dong and Maria Escobar and Cristhian Forigua and Abrham Gebreselasie and Sanjay Haresh and Jing Huang and Md Mohaiminul Islam and Suyog Jain and Rawal Khirodkar and Devansh Kukreja and Kevin J Liang and Jia-Wei Liu and Sagnik Majumder and Yongsen Mao and Miguel Martin and Effrosyni Mavroudi and Tushar Nagarajan and Francesco Ragusa and Santhosh Kumar Ramakrishnan and Luigi Seminara and Arjun Somayazulu and Yale Song and Shan Su and Zihui Xue and Edward Zhang and Jinxu Zhang and Angela Castillo and Changan Chen and Xinzhu Fu and Ryosuke Furuta and Cristina Gonzalez and Prince Gupta and Jiabo Hu and others},
  year = {2023},
  eprint = {2311.18259},
  archivePrefix = {arXiv},
  primaryClass = {cs.CV},
  url = {https://arxiv.org/abs/2311.18259},
}
Datasets & Benchmarks数据集与基准datasetegocentrichuman-videomultimodal
Paper论文 2024 CVPR 2024

Hierarchical Diffusion Policy for Kinematics-Aware Multi-Task Robotic Manipulation

HDP splits a policy into a high-level next-best-pose planner and a low-level goal-conditioned diffusion policy that generates motion to reach it.HDP 把策略分为高层“下一最佳位姿”规划与低层目标条件扩散策略,由后者生成到达该位姿的运动。

BibTeX
@misc{ma2024hierarchical,
  title = {{Hierarchical Diffusion Policy for Kinematics-Aware Multi-Task Robotic Manipulation}},
  author = {Xiao Ma and Sumit Patidar and Iain Haughton and Stephen James},
  year = {2024},
  eprint = {2403.03890},
  archivePrefix = {arXiv},
  primaryClass = {cs.RO},
  url = {https://arxiv.org/abs/2403.03890},
}
Manipulation & Dexterous Hands操作与灵巧手diffusion-policyhierarchicalkinematics
Paper论文 2024 CVPR 2024 new新 2026-11-04

Tactile-Augmented Radiance Fields

TaRF puts vision and touch in one 3D space: touch probes are registered to photos, and a conditional diffusion model estimates touch at unprobed positions.TaRF 把视觉与触觉放进同一三维空间:将触摸采样配准到照片,并用条件扩散模型估计未采样位置的触觉。

BibTeX
@misc{dou2024tactile,
  title = {{Tactile-Augmented Radiance Fields}},
  author = {Yiming Dou and Fengyu Yang and Yi Liu and Antonio Loquercio and Andrew Owens},
  year = {2024},
  eprint = {2405.04534},
  archivePrefix = {arXiv},
  primaryClass = {cs.CV},
  url = {https://arxiv.org/abs/2405.04534},
}