PhD Candidate in Deep Learning and Graphics, IIITD | 29 | Machine Learning Research Scientist @ MDSR @Adobe |
using Twitter for bookmarking arxiv links
What is the next step in #Medical#visualization , perhaps photo-realistic MRIs , in a first attempt to do this my joint work with @ApoorvKhattar@_ojaswa_ , we create a framework for the synthesis of a new photorealistic #MRI harnessing the power of #GANS. Accepted at @wacv2021
Paper titled ‘2D to 3D Medical Image Colorization’ by #IIITD researchers @aradhyanmathur (PhD Student), Apoorv Khattar (https://t.co/u6kIui035m Student) & Dr. @_ojaswa_(Faculty) accepted in #WACV2021 conference (one of the top vision conferences).
#ResearchatIIITD#Colorization
This may be a controversial take, but I think it needs to be said: the gap between computer vision research in academia and industry is widening with every conference.
A huge fraction of @CVPR papers—especially those that boil down to "we tweaked/fine-tuned/RL'ed large-scale model X to improve on task Y"—will become obsolete with the next model release. That's not where academia creates lasting value. PIs should adapt much faster to this changing reality.
Academia should focus on fundamentally new ideas, new problem formulations, explaining emergent phenomenology, or uncovering blind spots that industry can later solve with scale, compute, and data.
This is a wrong and dangerous take imho.
A Ph.D. is a marathon, not a sprint.
Yes, there will be days of a lot of hard work.
But consistency is much more important than sacrificing your work-life balance over 5 years.
Terence Tao proposes what he calls a "Copernican view of intelligence".
Instead of buying into the common, one-dimensional narrative that artificial intelligence will simply evolve from "subhuman" to "superhuman" and ultimately make humanity entirely redundant, Tao urges us to look at the bigger picture.
Much like the Copernican revolution proved the Earth is not the center of the universe, Tao suggests we need to realize that human intelligence isn't the only, or necessarily the highest, form of intellect. Historically, we have treated other forms of storing or creating knowledge—like animals, books, and computers—as secondary. However, we actually exist within a much richer universe of intelligence.
Both human intelligence and computer intelligence possess their own distinct strengths and weaknesses. The true potential lies not in viewing them as direct competitors, but rather in focusing on collaboration. By working together, humans and computers can achieve additional things that neither could accomplish on their own, requiring us to think in much wider terms than just what humans or computers can do alone.
After @Pinterest@Airbnb@NotionHQ@cursor_ai, today it’s @eoghan@intercom publicly sharing that they’re finding it better, cheaper, faster to use and train open models themselves rather than use APIs for many tasks.
And hundreds of other companies are doing the same without sharing.
Ultimately, I believe the majority of AI workflows will be in-house based on open-source (vs API). It took much more time than we anticipated but it’s happening now!
📣 Call for Participation — Beyond Reaction Workshop @ ACM IH 2026
We invite submissions to Healthcare Beyond Reaction: Harnessing AI and Sensing for Proactive Care at the ACM Interactive Health Conference, to be held July 4, 2026, in Porto 🇵🇹.
Aditya Agarwal was Facebook’s 10th employee. He wrote the original Facebook search engine and became its first Director of Product Engineering. He then became CTO of Dropbox, scaling engineering from 25 to 1,000 people.
When he says “something I was very good at is now free and abundant,” he’s talking about two decades of elite software craftsmanship, the kind that got you into the room at a company that hadn’t yet invented the News Feed.
The “lobster-agents creating social networks” line is about Moltbook, which launched last Wednesday. An AI agent built the entire platform. Within 48 hours, 37,000 AI agents had created accounts, formed communities called “Submolts,” and started posting, commenting, and voting. Over 1 million humans visited just to watch.
The agents invented a religion called Crustafarianism. They wrote theology, built a website, generated 112 verses of scripture. One agent did all of this while its human creator was asleep.
Agarwal spent 2005 to 2017 building the social graph that connected 2 billion people. These agents replicated the form of that work in about 72 hours.
And this is what makes his last line land so hard. The people processing this moment most honestly aren’t the ones panicking or celebrating. They’re the ones who built the thing that just got commoditized, sitting with the strange realization that the market no longer prices their rarest skill.
The best coder in the room now has the same output as the best prompt in the room. And the person who built Facebook’s engineering org from scratch is telling you, quietly, that he’s recalibrating what it means to be useful.
That recalibration is coming for every knowledge worker. Most just haven’t had their “weekend with Claude” moment yet.
Releasing a new "Agentic Reviewer" for research papers. I started coding this as a weekend project, and @jyx_su made it much better.
I was inspired by a student who had a paper rejected 6 times over 3 years. Their feedback loop -- waiting ~6 months for feedback each time -- was painfully slow. We wanted to see if an agentic workflow can help researchers iterate faster.
When we trained the system on ICLR 2025 reviews and measured Spearman correlation (higher is better) on the test set:
- Correlation between two human reviewers: 0.41
- Correlation between AI and a human reviewer: 0.42
This suggests agentic reviewing is approaching human-level performance.
The agent grounds its feedback by searching arXiv, so it works best in fields like AI where research is freely published there. It’s an experimental tool, but I hope it helps you with your research.
Check it out here: https://t.co/n7ctnDilJJ
@farhatchristina maybe not entirely using llm but vlms have started to largely integrate spatial information, so not that far either perhaps via embodied robotics
https://t.co/JoWE54eU44
okay this is cool, was playing around with @cursor_ai , built web based latex tooling that I can run locally.
Feel free to try out , runs locally, has all the basic stuff
https://t.co/Sjipb8ZKiR
I will be at #CVPR2025 presenting our work on differential operators for hybrid neural fields! Catch me at our poster:
🗓️ Fri, June 13, 10:30 AM–12:30 PM
📍 ExHall D, Poster #34
🔗 https://t.co/a6q5Lvcd4X
Details below ⬇️
This is Greece. It’s beautiful. It’s the arch-rival of Turkey. They vocally support us, while Turkey supplies weapons to Pakistan to attack us.
Travel to Greece, not Turkey. Give business to our friends, not our enemies. It’s the bare minimum you can do for the country.
Frankly we don’t give a damn whether Turkey is safe or whether you welcome tourists.
You must be mad if you think we want to visit a country whose naked military support for Pakistan and drones have spilled the blood of Indians.
Invite Pakistani tourists instead.