Shenhan Qian
@shenhanqian.bsky.social
PhD student in Computer Vision Group of Prof. Daniel Cremers
https://shenhanqian.github.io/
https://shenhanqian.github.io/
Reposted by Shenhan Qian
ViSTA-SLAM: Visual SLAM with Symmetric Two-view Association
@ganlinzhang.xyz, @shenhanqian.bsky.social, @xiwang1212.bsky.social, @dcremers.bsky.social
arxiv.org/abs/2509.01584
@ganlinzhang.xyz, @shenhanqian.bsky.social, @xiwang1212.bsky.social, @dcremers.bsky.social
arxiv.org/abs/2509.01584
September 3, 2025 at 10:57 AM
ViSTA-SLAM: Visual SLAM with Symmetric Two-view Association
@ganlinzhang.xyz, @shenhanqian.bsky.social, @xiwang1212.bsky.social, @dcremers.bsky.social
arxiv.org/abs/2509.01584
@ganlinzhang.xyz, @shenhanqian.bsky.social, @xiwang1212.bsky.social, @dcremers.bsky.social
arxiv.org/abs/2509.01584
Reposted by Shenhan Qian
Can we match vision and language representations without any supervision or paired data?
Surprisingly, yes!
Our #CVPR2025 paper with @neekans.bsky.social and @dcremers.bsky.social shows that the pairwise distances in both modalities are often enough to find correspondences.
⬇️ 1/4
Surprisingly, yes!
Our #CVPR2025 paper with @neekans.bsky.social and @dcremers.bsky.social shows that the pairwise distances in both modalities are often enough to find correspondences.
⬇️ 1/4
June 3, 2025 at 9:27 AM
Can we match vision and language representations without any supervision or paired data?
Surprisingly, yes!
Our #CVPR2025 paper with @neekans.bsky.social and @dcremers.bsky.social shows that the pairwise distances in both modalities are often enough to find correspondences.
⬇️ 1/4
Surprisingly, yes!
Our #CVPR2025 paper with @neekans.bsky.social and @dcremers.bsky.social shows that the pairwise distances in both modalities are often enough to find correspondences.
⬇️ 1/4
Reposted by Shenhan Qian
Can you train a model for pose estimation directly on casual videos without supervision?
Turns out you can!
In our #CVPR2025 paper AnyCam, we directly train on YouTube videos and achieve SOTA results by using an uncertainty-based flow loss and monocular priors!
⬇️
Turns out you can!
In our #CVPR2025 paper AnyCam, we directly train on YouTube videos and achieve SOTA results by using an uncertainty-based flow loss and monocular priors!
⬇️
May 13, 2025 at 8:11 AM
Can you train a model for pose estimation directly on casual videos without supervision?
Turns out you can!
In our #CVPR2025 paper AnyCam, we directly train on YouTube videos and achieve SOTA results by using an uncertainty-based flow loss and monocular priors!
⬇️
Turns out you can!
In our #CVPR2025 paper AnyCam, we directly train on YouTube videos and achieve SOTA results by using an uncertainty-based flow loss and monocular priors!
⬇️
Reposted by Shenhan Qian
Back on Track: Bundle Adjustment for Dynamic Scene Reconstruction
Weirong Chen, @ganlinzhang.xyz, @fwimbauer.bsky.social, Rui Wang, @neekans.bsky.social, Andrea Vedaldi, @dcremers.bsky.social
tl;dr: learning-based 3D point tracker decouples camera and object-based motion
arxiv.org/abs/2504.14516
Weirong Chen, @ganlinzhang.xyz, @fwimbauer.bsky.social, Rui Wang, @neekans.bsky.social, Andrea Vedaldi, @dcremers.bsky.social
tl;dr: learning-based 3D point tracker decouples camera and object-based motion
arxiv.org/abs/2504.14516
April 23, 2025 at 5:13 PM
Back on Track: Bundle Adjustment for Dynamic Scene Reconstruction
Weirong Chen, @ganlinzhang.xyz, @fwimbauer.bsky.social, Rui Wang, @neekans.bsky.social, Andrea Vedaldi, @dcremers.bsky.social
tl;dr: learning-based 3D point tracker decouples camera and object-based motion
arxiv.org/abs/2504.14516
Weirong Chen, @ganlinzhang.xyz, @fwimbauer.bsky.social, Rui Wang, @neekans.bsky.social, Andrea Vedaldi, @dcremers.bsky.social
tl;dr: learning-based 3D point tracker decouples camera and object-based motion
arxiv.org/abs/2504.14516
Reposted by Shenhan Qian
We are thrilled to have 12 papers accepted to #CVPR2025. Thanks to all our students and collaborators for this great achievement!
For more details check out cvg.cit.tum.de
For more details check out cvg.cit.tum.de
March 13, 2025 at 1:11 PM
We are thrilled to have 12 papers accepted to #CVPR2025. Thanks to all our students and collaborators for this great achievement!
For more details check out cvg.cit.tum.de
For more details check out cvg.cit.tum.de
Reposted by Shenhan Qian
🥳Thrilled to share our work, "Implicit Neural Surface Deformation with Explicit Velocity Fields", accepted at #ICLR2025 👏
code is available at: github.com/Sangluisme/I...
😊Huge thanks to my amazing co-authors. @dongliangcao.bsky.social @dcremers.bsky.social
👏Special thanks to @ricmarin.bsky.social
code is available at: github.com/Sangluisme/I...
😊Huge thanks to my amazing co-authors. @dongliangcao.bsky.social @dcremers.bsky.social
👏Special thanks to @ricmarin.bsky.social
January 23, 2025 at 5:22 PM
🥳Thrilled to share our work, "Implicit Neural Surface Deformation with Explicit Velocity Fields", accepted at #ICLR2025 👏
code is available at: github.com/Sangluisme/I...
😊Huge thanks to my amazing co-authors. @dongliangcao.bsky.social @dcremers.bsky.social
👏Special thanks to @ricmarin.bsky.social
code is available at: github.com/Sangluisme/I...
😊Huge thanks to my amazing co-authors. @dongliangcao.bsky.social @dcremers.bsky.social
👏Special thanks to @ricmarin.bsky.social
Thank you for organizing this wonderful joint group retreat @dcremers.bsky.social @andreasgeiger.bsky.social !
Amazing talks, activities, and people! Love it!
Amazing talks, activities, and people! Love it!
Indeed - everyone had a blast - thank you all for the great talks, discussions and Ski/snowboarding!
This week we had our winter retreat jointly with Daniel Cremer's group in Montafon, Austria. 46 talks, 100 Km of slopes and night sledding with some occasionally lost and found. It has been fun!
January 16, 2025 at 7:34 PM
Thank you for organizing this wonderful joint group retreat @dcremers.bsky.social @andreasgeiger.bsky.social !
Amazing talks, activities, and people! Love it!
Amazing talks, activities, and people! Love it!