5,854 karma · joined January 6, 2008
Mistakes, typos, misspellings–even the occasional em-dash are 100% human-generated for human readers.
Professional inquiries:
https://tractable.cv
Unprofessional inquiries:
https://zacstewart.com
Engineers often reduce human interaction and creativity down to computer analogs like “exchanging data,” treat work and business as life’s raison d’etre and then we wonder why every car on the road is monochrome and we’re on the umpteenth Gardian of the Avangers film.
Location: Taiwan
Remote: Yes
Willing to relocate: Maybe
Technologies: Python, Torch/PyTorch, COLMAP, OpenCV, C++, Qt
Résumé/CV: https://zacstewart.com/resume.pdf
Email: hnwh202609 at zacstewart dot com
LinkedIn: https://www.linkedin.com/in/zac-stewart-79b2a5a6/
Looking for computer vision work. Multi-view stereo, camera calibration, SfM, scene reconstruction, 3D object triangulation, 3D multi-object tracking. Object detection, tracking, video processing. I mostly work in Python and C++, but the stack is not super important to me. I have 16 years of experience as a software engineer. I go the extra mile producing technical notes, reports, visualizations, etc. to help communicate my results. References available upon request. I'm accustomed to working with clients in US timezones. Willing to travel.RECENT PROJECTS
Camera/Projector Calibration System
- Novel projector mapping technique for 3D, real-world interactivity
Damage detection/grading for collectable items
- 2D damage detection using smartphone camera from multiple views
- Map 2D multi-view into global 3D space for unique damage instance collation with novel camera calibration technique using differentiable rendering
- AWS pipeline to orchestrate all the ML/GPU crunching to support a mobile app
Real-time soccer markerless motion capture
- Camera calibration (20+ cameras) using COLMAP
- Calibration refinement and camera drift maintenance
- 3D object triangulation from multi-view 2D object detections
- 3D human pose reconstruction from 2D pose estimations
- 3D multi-object tracking
- Real-time pipeline (60 Hz)
Video auto-cropping to convert long-form landscape orientation videos in to vertical, short videos
- Prioritize between competing subjects in video
- Create smooth panning crop-out region for each subject
- Naturally transition focus between different subjects
Developed countries are rich after centuries of extracting natural resources, to the point that Europe is nearly deforested, American rivers in the rust belt used to catch on fire from chemical pollution, and we destroyed a pacific atoll with over 20 nuclear bombs.
A little rich for us to suddenly care about the coral so much that we can lecture developing countries about it. In this case, it doesn’t seem these are the acts of desperate people, but the arrogance of someone who will probably never face hardship beyond “ramen profitability” saying desperation is no excuse is astounding.
I think the mistake here is the notion that there was a definition of intelligence. Or at least a consensus on that definition. Just because compsci nerds of the day thought the Turing test was the final threshold before “real” AI, doesn’t mean philosophers, psychologists and everyone else bought into it. And when we arrived and it turns out to be underwhelming it’s because the compsci nerds made the same mistake they always make: that their models truly encompass all the dense complexity of the real world.
> Reduplication is sometimes employed in verbs and adjectives to enhance the effect of them.
> 胖胖的 pàng pàng de ('quite fat') from 胖 pàng ('fat')
This is the exact opposite of how I'd understand it. Saying someone is 胖 is just calling them fat (rude), but 胖胖的 is teasing, cute, chubby, etc.
You can say something like 「你看!可愛的狗狗」 and it’s “look! A cute doggy” (reduplicating 狗 gǒu). On the other hand you could say 「人人都知道她是小三!」 and it means “everybody knows that she’s (his) mistress!” (reduplicating 人 rén).