[CVPR 2023] Multi-frame depth estimation in dynamic scenes. -- Li, Rui, et al. "Learning to Fuse Monocular and Multi-view Cues for Multi-frame Depth Estimation in Dynamic Scenes".
active 2023-08-15 → 2025-08-27 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 744 days from 2023-08-15 to 2025-08-27. Pushes: 1 total, peak 1 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 15 total, peak 4 in a day. Comments: 25 total, peak 6 in a day. Stars: 65 total, peak 4 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| ruili3 | 22 | 0 | 0 | 15 |
| WangXuCh | 6 | 0 | 0 | 2 |
| fufj | 2 | 0 | 0 | 1 |
| kehuitt | 2 | 0 | 0 | 1 |
| 757787182 | 2 | 0 | 0 | 2 |
| chaoying0115 | 2 | 0 | 0 | 2 |
| xuhang2017 | 2 | 0 | 0 | 2 |
| huangtaokind | 1 | 0 | 0 | 0 |
| donggong1 | 1 | 1 | 0 | 0 |
| BinBCheng | 1 | 0 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Issue#17kehuitt2025-04-28 09:37Dataset DDAD eval
- Issue comment#16ruili32025-01-20 14:22Visualization results
- Issue comment#16kehuitt2025-01-20 08:55Visualization results
- Issue comment#16ruili32025-01-20 08:38Visualization results
- Issue comment#16xuhang20172024-12-30 12:24Visualization results
- Issue comment#16ruili32024-12-30 12:21Visualization results
- Issue comment#16xuhang20172024-12-30 12:15Visualization results
- Issue comment#167577871822024-07-26 10:39Visualization results
- Issue comment#16ruili32024-07-26 10:33Visualization results
- Issue comment#167577871822024-07-26 09:54Visualization results
- Issue comment#16fufj2024-05-30 01:13Visualization results
- Issue#13ruili32024-05-29 15:31Arbitrary video
- Issue comment#14ruili32024-05-29 15:30May I ask how you visualize point clouds and what toolkit are you using?
- Issue#14ruili32024-05-29 15:30May I ask how you visualize point clouds and what toolkit are you using?
- Issue comment#16ruili32024-05-29 15:28Visualization results
- Issue#16fufj2024-05-28 07:53Visualization results
- Issue#15WangXuCh2024-04-01 03:26About the parameter invd_depth_min_max
- Issue comment#15WangXuCh2024-04-01 01:33About the parameter invd_depth_min_max
- Issue#11ruili32024-03-29 13:33The problem of calculating dynamic regional indicators
- Issue#8ruili32024-03-29 13:32About High resolution evaluation
- Issue#6ruili32024-03-29 13:32Clarification of the results.json metrics
- Issue#10ruili32024-03-29 13:32is file"data_depth_annotated" wrong in the sequence 03?
- Issue comment#10ruili32024-03-29 13:31is file"data_depth_annotated" wrong in the sequence 03?
- Issue comment#11ruili32024-03-29 13:31The problem of calculating dynamic regional indicators
- Issue comment#12ruili32024-03-29 12:08I got diifferent results on the evaluate set.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 65 stars here means stars gained during the window, not the repo's star count.