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#computervision

1 post1 participant0 posts today
Virgile Andreani ⏚ 🇵🇸

I am transmitting a hiring opportunity for a good friend (@jblugagne). I have had the pleasure to know him and work with him for a long time, and warmly encourage interested people to apply. I have worked and am still working a bit on DeLTA myself, so I am biased but I think it's a very nice project :) Boosts appreciated!

> We are looking for a Senior Python Developer to join our group at the University of Oxford’s Department of Engineering Science. This is a full-time position focused on advancing our open-source computer vision software for quantitative microscopy, DeLTA. There will also be opportunities to explore commercial applications and contribute to potential spin-off efforts.

> We’re looking for someone with strong Python skills and experience in software release and management. Backgrounds in computer vision, machine learning, or microscopy are a plus.

> eng.ox.ac.uk/jobs/job-detail/?

#FediHire#ScientificComputing#ImageAnalysis
HabileData

Data Annotation vs Data Labelling- Find the right for you

Key takeaways:

• Understand the core difference between annotation and labeling
• Explore use cases across NLP, computer vision & more
• Learn how each process impacts model training and accuracy

Read now to make smarter data decisions:

hitechbpo.com/blog/data-annota

#DataAnnotation#DataLabeling#AI
Fox in the Shell 💜🐾🦊

Another one of my posts. This one on the topic of AI tools as assistive technology, what's working, what isn't and why, all without the hype that too many people tend to lean into when discussing this technology:

When Independence Meets Uncertainty: My Journey with AI-Powered Vision
A blind user's candid assessment of the promises and pitfalls of current AI accessibility tools
open.substack.com/pub/kaylielf

Kaylie’s Substack · 🤖👁️ From thermostat success to dryer disasters: my honest take on AI vision tools that promise independence but deliver uncertainty. A must-read for anyone curious about the real state of AI accessibility.By Kaylie L. Fox
#AI#Accessibility#Substack
☮ ♥ ♬ 🧑‍💻

“The nature of scientific progress is that it sometimes provides powerful tools that can be wielded for good or for ill: splitting the atom and nuclear weapons being a case in point. In such cases, it’s necessary that researchers involved in developing such #technologies participate actively in the ethical and political discussions about the appropriate boundaries for their use. Computer vision is one area in which more voices need to be heard.”

…

“This study backs up with clear evidence what many have long suspected: that computer-vision research is being used mainly in surveillance-enabling #applications.”

#ArtificialIntelligence / #ComputerVision / #research / #surveillance / #tech <nature.com/articles/d41586-025>

www.nature.comDon’t sleepwalk from computer-vision research into surveillanceThe output of computer-vision research is overwhelmingly aimed towards monitoring humans. The potential ethical implications need more scrutiny.
Virgile Andreani ⏚ 🇵🇸

It's a bit magical how adding diversity to a training dataset improves the result of the model. I was analyzing one microscopy experiment, and the segmentation model, trained on the same experiment, was doing well on this particular movie but not on others. I added a few more experiments to the training set, and now the model does much better even on experiments outside of the training set.

#ComputerVision#microscopy
Miguel Afonso Caetano

"An increasing number of scholars, policymakers and grassroots communities argue that artificial intelligence (AI) research—and computer-vision research in particular—has become the primary source for developing and powering mass surveillance. Yet, the pathways from computer vision to surveillance continue to be contentious. Here we present an empirical account of the nature and extent of the surveillance AI pipeline, showing extensive evidence of the close relationship between the field of computer vision and surveillance. Through an analysis of computer-vision research papers and citing patents, we found that most of these documents enable the targeting of human bodies and body parts. Comparing the 1990s to the 2010s, we observed a fivefold increase in the number of these computer-vision papers linked to downstream surveillance-enabling patents. Additionally, our findings challenge the notion that only a few rogue entities enable surveillance. Rather, we found that the normalization of targeting humans permeates the field. This normalization is especially striking given patterns of obfuscation. We reveal obfuscating language that allows documents to avoid direct mention of targeting humans, for example, by normalizing the referring to of humans as ‘objects’ to be studied without special consideration. Our results indicate the extensive ties between computer-vision research and surveillance."

nature.com/articles/s41586-025

NatureComputer-vision research powers surveillance technology - NatureAn analysis of research papers and citing patents indicates the extensive ties between computer-vision research and surveillance.
#ComputerVision#AI#Surveillance
Mariel García-Montes

OK, I've been counting down the seconds to the publication of this outstanding article, by far the most interesting one I've read in the past year. If you study #surveillance #computervision, gift yourself some time to read Ria Kalluri + Abeba Birhane (et al) nature.com/articles/s41586-025

NatureComputer-vision research powers surveillance technology - NatureAn analysis of research papers and citing patents indicates the extensive ties between computer-vision research and surveillance.
Dilmer Valecillos 👓

Here’s a great breakdown of Aria Gen 2 and why these research glasses are so impressive!

📌 Few highlights:

🕶️ Design & Comfort
- Lighter (74–76g) with folding arms and 8 size options for better fit and comfort

📸 Vision Upgrades
- 4 HDR cameras (up from 2), now with 120 dB range
- Wider FOV and 80° stereo overlap for better depth and tracking

🔍 New Sensors
- Ambient Light Sensor for lighting detection
- Contact mic for clearer audio in noise
- Heart rate sensor in the nosepad

⏱️ Time Sync
- Hardware-based Sub-GHz radio for sub-millisecond sync between devices

🧠 On-Device Intelligence
- Real-time tracking via Meta’s custom coprocessor
- 6DOF spatial tracking (VIO)
- Advanced eye tracking (gaze, pupil, blinks)
- 3D hand tracking for gesture and robotics research

#xr#technology#arglasses
Albert Cardona

Deployments of computer vision applications in the wild appear to not have been vetted much.

Left, "the camera detected a vehicle".
Right, "the camera detected a person".

Turns out, spider webs are adversarial for a system that didn't include them in the training data.

Seems developers didn't think of spider webs. There may have not been any in their labs.

#ComputerVision#MachineLearningFail
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