I really like the metric depth prediction problem because it involves fundamental computer vision questions, like How Big is a Thing? and How Far is a Thing?

It's a real honor to receive the Thomas Huang Prize, which memorializes a figure in computer vision who had tremendous impact through his research and mentorship.

Humans can watch tasks like cooking or assembly and reason about what happened, when, and between which parts. Can LVLMs do the same? We built Flat-Pack Bench to test this – and found there is still a long way to go. Accepted at #CVPR2026! 🎥🪑🧩(1/n)

I love this sign! I'm guessing it was designed in MacWrite in 1993?

Or, one could stop to consider that this is a really bad idea?

If you are applying for NSF CAREER, and don't mind watching an ancient 360p video -- I was invited to give a talk on my experience writing one at a CAREER workshop in 2012 and it made its way to YouTube. Someone just reminded me this existed, so I thought I'd share! www.youtube.com/watch?v=ezKW...

VarSplat: Uncertainty-aware 3D Gaussian Splatting for Robust RGB-D SLAM Anh Thuan Tran, Jana Kosecka tl;dr: law of total variance+alpha compositing->per-splat appearance variance->differentiable per-pixel uncertainty map arxiv.org/abs/2603.09673

Very excited about @nthngdy.bsky.social's new work! It really gets to the bottom (or top, depends where the head in LMs is 😜) and fundamentals of contemporary LLMs. A real treat of a paper: solid theory, and very cool experiments.

Does anyone have any tips for making OpenReview less agonizingly slow?

The time I Tweeted (in jest) that Bluesky is the new Usenet somehow got me clowned on by the ClassicUsenet subreddit. www.reddit.com/r/ClassicUse...

At kids' parties a lot of dads go in for a "clap shake" type greeting. Was I supposed to learn how to do this at some point?

An en dash seems to be a more reliable AI tell than an em dash.

This might be the biggest job in (open) science. Cornell is creating a new non-profit organization to house @arxiv.bsky.social -- and hiring a new person to lead it. jobs.chronicle.com/job/37961678...

Life: A User's Manual (Perec 1978) prefugured the "That's the cup of a carpenter" scene in Indiana Jones and the Last Crusade.

ZipMap: Linear-Time Stateful 3D Reconstruction with Test-Time Training @haian-jin.bsky.social, Rundi Wu, Tianyuan Zhang, Ruiqi Gao, @jonbarron.bsky.social, @snavely.bsky.social, @holynski.bsky.social tl;dr: another(?) TTT+VGGT arxiv.org/abs/2603.04385

Attention-grabbing idea for an academic paper: Somehow work your personal phone number into the title, like those old LifeLock ads featuring the CEO's social security number. I bet this kind of stunt would garner attention, but I haven't figured how to work it naturally into a CVPR paper.

I thought Nirvanna the Band the Show the Movie was a fantastic comedy film! I went in knowing nothing about the premise and had a great time. I have no idea how they filmed parts of it, especially on a budget of just $2M. A nice time in the theater.

If you are attending @wacvconference.bsky.social in Tucson next month and stopping in Phoenix, I highly recommend checking out Organ Stop Pizza -- the most fun restaurant I've ever been to. Home of the "world's largest Wurlitzer theater organ" en.wikipedia.org/wiki/Organ_S...

I found this old bassoon sheet music in storage, and tried to have Gemini scan it to PDF. I think it is getting better with music? But still goes off the rails. (ChatGPT does even worse.)

The CVPR process seems driven by the goal of extracting 3 reviews for each paper, a goal that seems to lead to a lot of angst. Is there a reason why 3 is a magic number? Why not two, or even one (assuming the quality is high)?

If you are looking for a new podcast to get into, I recommend Topics with Michael Ian Black and Michael Showalter. Even though they are comedians, they aren't afraid to dive into some weighty topics! www.earwolf.com/show_archive...

What are some examples of computer vision papers that have attractive system diagrams?

Over the past year, my lab has been working on fleshing out theory + applications of the Platonic Representation Hypothesis. Today I want to share two new works on this topic: Eliciting higher alignment: arxiv.org/abs/2510.02425 Unpaired learning of unified reps: arxiv.org/abs/2510.08492 1/9

#TTT3R: 3D Reconstruction as Test-Time Training TTT3R offers a simple state update rule to enhance length generalization for #CUT3R — No fine-tuning required! 🔗Page: rover-xingyu.github.io/TTT3R We rebuilt @taylorswift13’s "22" live at the 2013 Billboard Music Awards - in 3D!

We present a new approach to inference-time scene optimization, which we name Radiant Triangle Soup (RTS) www.arxiv.org/abs/2505.23642. Also check out really great concurrent work from Held et al. @janheld.bsky.social, Triangle Splatting arxiv.org/abs/2505.19175

🧠How “old” is your model? Put it to the test with the KiVA Challenge: a new benchmark for abstract visual reasoning, grounded in real developmental data from children and adults. 🏆 Prizes: 🥇$1K to the top model 🥈🥉$500 📅 Deadline: 10/7/25 🔗 kiva-challenge.github.io @iccv.bsky.social

ChatGPT and Gemini both seem to struggle with sheet music. They both insist that this excerpt is in D major (2 sharps), and resist any attempt to tell them that there 3 sharps in the key signature. I think this is really cool and interesting!

Think LMMs can reason like a 3-year-old? Think again! Our Kid-Inspired Visual Analogies benchmark reveals where young children still win: ey242.github.io/kiva.github.... Catch our #ICLR2025 poster today to see where models still fall short! Thurs. April 24 3-5:30 pm Halls 3 + 2B #312

Dynamic Camera Poses and Where to Find Them Chris Rockwell, @jtung.bsky.social, Tsung-Yi Lin, Ming-Yu Liu, David F. Fouhey, Chen-Hsuan Lin tl;dr: a large-scale dataset of dynamic Internet videos annotated with camera poses arxiv.org/abs/2504.17788

1/6 🔍➡️ How to transform standard videos into immersive 360° panoramas? We've designed a new AI system for video-to-360° panorama generation! Our key insight: large-scale data is crucial for robust panoramic synthesis across diverse scenes.

We have released the Stereo4D dataset! Explore the real-world dynamic 3D tracks: github.com/Stereo4d/ste...

This is really nice work on visual discovery from @boyangdeng.bsky.social!

We're very excited to introduce TAPNext: a model that sets a new state-of-art for Tracking Any Point in videos, by formulating the task as Next Token Prediction. For more, see: tap-next.github.io

A thread of thoughts on radiance fields, from my keynote at 3DV: Radiance fields have had 3 distinct generations. First was NeRF: just posenc and a tiny MLP. This was slow to train but worked really well, and it was unusually compressed --- The NeRF was smaller than the images.

Fifth Ave jammed #handsoff

🚀 We’ve just released the code and checkpoints for our #ICLR2025 Oral paper: "LVSM: A Large View Synthesis Model with Minimal 3D Inductive Bias". Check it out below 👇 🔗 Code: github.com/haian-jin/LVSM 📄 Paper: arxiv.org/abs/2410.17242 🌐 Project Page: haian-jin.github.io/projects/LVSM/

This is really cool work!

[1/10] Is scene understanding solved? Models today can label pixels and detect objects with high accuracy. But does that mean they truly understand scenes? Super excited to share our new paper and a new task in computer vision: Visual Jenga! 📄 arxiv.org/abs/2503.21770 🔗 visualjenga.github.io

#Backslash at #CornellTech, dedicated to advancing new works of art and technology that escape convention, has announced Mimi Ọnụọha as its first Backslash Fellow: tech.cornell.edu/news/mimi-on... “This work feels like a marked evolution for me personally,” said Ọnụọha. @snavely.bsky.social

#CVPR2025 offers registration and travel support to students from underrepresented communities. Awards are based on need, contribution, travel distance, identity, and advisor support. Information and form: forms.gle/uDR2Q74drC4V...

Exciting news! MegaSAM code is out🔥 & the updated Shape of Motion results with MegaSAM are really impressive! A year ago I didn't think we could make any progress on these videos: shape-of-motion.github.io/results.html Huge congrats to everyone involved and the community 🎉

I think Qianqian et al's work is really cool! The problem of modeling state within a 3D reasoning system is quite interesting. (And I believe it's pronounced "cuter".)

Late to post, but excited to introduce CUT3R! An online 3D reasoning framework for many 3D tasks directly from just RGB. For static or dynamic scenes. Video or image collections, all in one! Project Page: cut3r.github.io Code and Model: github.com/CUT3R/CUT3R

This is really unimportant, but I keep seeing the word "advancements" in writing where I would have seen the word "advances" before. I'm taking this to mean that LLMs are at play and therefore, they will influence the language such that the two words will eventually come to mean the same thing!

This is a really fun podcast episode for people whose favorite part of the Empire Strikes Back film score is when the Millenium Falcon flies out of the giant space slug! www.settlingthescorepodcast.com/66-the-empir... @scoresettlers.bsky.social

My question for the history heads out there: In the 1960s, did they call the 1880s "the Eighties"?

Announcing Diffusion Forcing Transformer (DFoT), our new video diffusion algorithm that generates ultra-long videos of 800+ frames. DFoT enables History Guidance, a simple add-on to any existing video diffusion models for a quality boost. Website: boyuan.space/history-guidance (1/7)

A shoutout to KWAX-FM, public classical radio broadcasting from Eugene, Oregon. I think it is a real gem! They do Listener's Choice Friday, where you can call in and make a request (they've taken my calls even though I'm in NYC). kwax.uoregon.edu

New paper about pictures: I identify trends in geometric perspective in my own drawings and photos, and compare them to how the original scenes looked. I discuss what these trends might say about art history and vision science. Published in _Art & Perception_. #visionscience psyarxiv.com/pq8nb

Did Italo Calvino discover bag of words and topic models in 1979?