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Venues会议/期刊 › ECCV 2024

ECCV 2024 · papers论文

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

Feed 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.日常 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。

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Curated精选 (3)

Paper论文 2023 · Meta AI · University of Oxford (VGG) ECCV 2024

CoTracker: It is Better to Track Together

Transformer that tracks many video points jointly rather than one at a time, staying robust through occlusions; widely used to extract motion tracks from human or robot videos for policy learning.联合跟踪视频中大量点(而非逐点独立跟踪)的 Transformer,遮挡下依然稳健;常用于从人类或机器人视频中提取运动轨迹来学习策略。

BibTeX
@misc{karaev2023cotracker,
  title = {{CoTracker: It is Better to Track Together}},
  author = {Nikita Karaev and Ignacio Rocco and Benjamin Graham and Natalia Neverova and Andrea Vedaldi and Christian Rupprecht},
  year = {2023},
  eprint = {2307.07635},
  archivePrefix = {arXiv},
  primaryClass = {cs.CV},
  url = {https://arxiv.org/abs/2307.07635},
}
Paper论文 2023 · IDEA Research · Tsinghua ECCV 2024

Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Open-set detector that finds objects from a free-text prompt; often paired with SAM ("Grounded-SAM") to turn a language instruction into object masks.开放集目标检测器,可根据任意文本提示找到物体;常与 SAM 组合(Grounded-SAM),把语言指令变成物体掩码。

BibTeX
@misc{liu2023grounding,
  title = {{Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection}},
  author = {Shilong Liu and Zhaoyang Zeng and Tianhe Ren and Feng Li and Hao Zhang and Jie Yang and Qing Jiang and Chunyuan Li and Jianwei Yang and Hang Su and Jun Zhu and Lei Zhang},
  year = {2023},
  eprint = {2303.05499},
  archivePrefix = {arXiv},
  primaryClass = {cs.CV},
  url = {https://arxiv.org/abs/2303.05499},
}
Perception, SLAM & 3D Mapping感知、SLAM 与三维建图open-vocabularydetectionlanguage-grounding
Paper论文 2024 · NAVER LABS Europe ECCV 2024

Grounding Image Matching in 3D with MASt3R

Extends DUSt3R with a dense local-feature head, so one network gives both 3D pointmaps and accurate pixel matches between views — useful for calibration-free reconstruction and localization.在 DUSt3R 基础上加入稠密局部特征头,同一网络既输出三维点图又给出视角间精确的像素匹配,适用于免标定的三维重建与定位。

BibTeX
@misc{leroy2024grounding,
  title = {{Grounding Image Matching in 3D with MASt3R}},
  author = {Vincent Leroy and Yohann Cabon and Jérôme Revaud},
  year = {2024},
  eprint = {2406.09756},
  archivePrefix = {arXiv},
  primaryClass = {cs.CV},
  url = {https://arxiv.org/abs/2406.09756},
}
Perception, SLAM & 3D Mapping感知、SLAM 与三维建图3d-reconstructionimage-matchingpointmap