- SAR-guided multimodal super-resolution — role-based adapters (SAR geometry, land-cover semantics, cross-attention) injected into a frozen diffusion SR backbone via forward hooks, with a conformal-calibrated uncertainty head that flags hallucinated detail
- Point-supervised semantic segmentation — LoveDA; approaching full-supervision mIoU from a handful of labeled pixels per class
- Multimodal satellite fusion — multi-source Earth observation for land-cover segmentation
| Project | Merged |
|---|---|
| opencv/opencv | VolumeType enum name clash — macOS Objective-C bindings |
| voxel51/fiftyone | FFmpeg passthrough via **kwargs in make_frames_dataset() |
| voxel51/fiftyone | Hex-string keys preserved in the mask_targets label-schema sanitizer |
| brainglobe/cellfinder | Keyword-only arguments with a deprecation wrapper |
| brainglobe/brainrender | Video-save path fix without os.chdir |
| neuroinformatics-unit/movement | compute_path_deviation — a v0.17.0 release highlight |
In review: NumPy #31523 · OpenCV #29199 · Netflix/metaflow #3240
Now — Google Summer of Code proposals to OpenCV & pgmpy · open to ML engineer / CV research engineer roles → LinkedIn · muhammadharis.tech4@gmail.com




