Maxim
@backpropaganda.bsky.social
Doing Computer Vision stuff with ML.
Reposted by Maxim
This was my tenth(!) year building 25 days of puzzles for #AdventOfCode. You can solve them all for free! Most people write code to solve them, but you can solve them however you like. I hope they help people become better programmers. 🌟
The first puzzle comes out in two hours: adventofcode.com
The first puzzle comes out in two hours: adventofcode.com
Advent of Code 2024
adventofcode.com
December 1, 2024 at 2:57 AM
This was my tenth(!) year building 25 days of puzzles for #AdventOfCode. You can solve them all for free! Most people write code to solve them, but you can solve them however you like. I hope they help people become better programmers. 🌟
The first puzzle comes out in two hours: adventofcode.com
The first puzzle comes out in two hours: adventofcode.com
PickScan: Object discovery and reconstruction from handheld interactions
(IROS 2024)
tl;dr: an interaction-guided and class-agnostic pipeline for scene reconstruction. The method lets a user move around objects, and outputs the object masks, 3D model and per-frame poses.
(IROS 2024)
tl;dr: an interaction-guided and class-agnostic pipeline for scene reconstruction. The method lets a user move around objects, and outputs the object masks, 3D model and per-frame poses.
November 26, 2024 at 2:02 PM
PickScan: Object discovery and reconstruction from handheld interactions
(IROS 2024)
tl;dr: an interaction-guided and class-agnostic pipeline for scene reconstruction. The method lets a user move around objects, and outputs the object masks, 3D model and per-frame poses.
(IROS 2024)
tl;dr: an interaction-guided and class-agnostic pipeline for scene reconstruction. The method lets a user move around objects, and outputs the object masks, 3D model and per-frame poses.
Vision Foundation Model Enables Generalizable Object Pose Estimation
(Neurips 2024)
tl;dr: The paper explores uses existing foundation models, to elaborate object pose estimation in 2 stages: category-level object viewpoint estimation and object coordinate map estimation.
(Neurips 2024)
tl;dr: The paper explores uses existing foundation models, to elaborate object pose estimation in 2 stages: category-level object viewpoint estimation and object coordinate map estimation.
November 25, 2024 at 2:05 PM
Vision Foundation Model Enables Generalizable Object Pose Estimation
(Neurips 2024)
tl;dr: The paper explores uses existing foundation models, to elaborate object pose estimation in 2 stages: category-level object viewpoint estimation and object coordinate map estimation.
(Neurips 2024)
tl;dr: The paper explores uses existing foundation models, to elaborate object pose estimation in 2 stages: category-level object viewpoint estimation and object coordinate map estimation.