Stanley H. Chan @stanley_h_chan
Professor | computational imaging | machine learning | Purdue ECE engineering.purdue.edu/ChanGroup/stan… Joined March 2021-
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The ECE 302 moment @PurdueECE When your undergrad student asks for your autograph... It made my day!☺️ Free copy of the book👇 probability4datascience.com
If you want to learn the best kept secrets of non-blind Poisson deconvolution, check out our newest spotlight video: youtu.be/hMBKJxjk3ZU 🤫🤫 Paper: ieeexplore.ieee.org/document/10449… by Gnanasambandam, Sanghvi and @stanley_h_chan from @PurdueECE.
2024 Summer K-12 outreach activity @PurdueECE Registration👇 engineering.purdue.edu/GEP/Machine-Le… @NickChimitt #MachineLearning #ai
📢📢📢 Seminar this Friday!! Purdue Computational Imaging Seminar Purdue ECE Distinguished Lecturer Seminar IEEE SPS Distinguished Lecturer Seminar @IEEEimaging @IEEE_TCI @PurdueECE @Qi_Guo_Vision
Purdue Computational Imaging Seminar: Prof. Suren Jayasuriya @imaginglyceum will talk this week at Purdue! DM @stanley_h_chan or me for the Zoom information. @PurdueECE @LifeAtPurdue #computationalimaging
📢New theory paper about single-photon LiDAR To appear @CVPR main conference arxiv.org/abs/2403.17719 - Closed-form formula - Equations match experiments - I did most of the writing and coding😅, with help from students and collaborators - thx AC and reviewer for feedback
Best Monday activity + STEM education for kids ... 4/8/2024, 2:56pm, Indiana #Eclipse2024
Happy to announce that I am promoted to full professor. Big shout out to my former and current students without whom this would never be possible. purdue.edu/newsroom/purdu…
📢New paper to appear @CVPR 2024 Generative Quanta Color Imaging We show how to turn a binary photon count image into a color image. - Synthesize exposure via neural ODE - Synthesize color arxiv.org/abs/2403.19066 @Qi_Guo_Vision
I wrote a tutorial on diffusion models for undergrad and grad students. I tried my best to give intuitive explanations for complicated equations. Your feedback is much appreciated Thanks to those who suggested various reading materials to me arxiv.org/abs/2403.18103
📜 New manuscript on Arxiv! Detect boundary structures in real-time from very, very noisy images using field-of-junctions. Arxiv preprints: arxiv.org/abs/2403.16494 Code and model available: github.com/guo-research-g… #computationalimaging #edgedetection #noisyimages
Interested in learning how diffusion works for generative modeling? Version 2.4.3 of DLStudio now has a new module GenerativeDiffusion that makes it much easier to learn diffusion based modeling. Go to the ExamplesDiffusion directory of the platform. engineering.purdue.edu/kak/distDLS/
We are extending the paper submission deadline for UG2+ workshop at @CVPR 2024. Deadline: April 1, 2024. Pls share with your colleagues. cvpr2024ug2challenge.github.io/papers24.html
What a wonderful achievement for RoboMaster. They went through many technological and organizational difficulties over the past few years to get to this stage. Boiler up for the team, and thanks @PurdueECE for the continued support.
What a wonderful achievement for RoboMaster. They went through many technological and organizational difficulties over the past few years to get to this stage. Boiler up for the team, and thanks @PurdueECE for the continued support.
We'll have some amazing speakers at the CCD @CVPR workshop this year! Poster submission deadline is April 7. csiplab.github.io/ccd2024/
There are two types of convolutions: - Gathering: flip-shift-add - Scattering: superposition of waves They are different See our new paper, just accepted to @IEEEsps Trans Signal Processing, March 2024. arxiv.org/abs/2303.05687 @NickChimitt @XingguangZ416 #MachineLearning #AI
Happy to share that the 13th Workshop on "Computational Cameras and Displays (CCD)" is happening at @CVPR 2024 on June 18. Submission for poster and spotlight presentations is now open (deadline April 7). Please submit your published/unpublished work. csiplab.github.io/ccd2024/
A new manuscript that I co-authored. arxiv.org/abs/2403.04498 An EM algorithm to estimate sensor parameters for deep sub-electron read noise pixels. From a few calibration measurements, we estimate read noise, dark current, offset, CG.
Advertising for the #Amazing "Image Science" @GordonConf to take place in June in Maine. Official deadline is in May, but better to apply ASAP to secure a seat. We are currently gathering significant sponsors to support Junior Researchers. grc.org/image-science-…
Does anyone have any good recommendations on which tutorials about diffusion models I should read as a beginner?
Peyman Milanfar @docmilanfar
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91 Followers 57 FollowingHappy to share that our lab received the Amazon Research Award in AI for Information Security for the project Causal Anomaly Detection in the Cloud. Thanks for the generous support, @AmazonScience!
The recipients, representing 51 universities in 15 countries, will have access to Amazon public datasets, AWS AI/ML services and tools, and more. Congrats to the 99 awardees! #AmazonResearchAwards amazon.science/research-award…
@stanley_h_chan @ma_jauhar Another (minor) typo : I believe a "_t" is missing at the end of the proof in section 2.2 : q_\phi(\mathbf x \mid \mathbf x_{t-1}) should be q_\phi(\mathbf x_t \mid \mathbf x_{t-1}) Thanks for a useful tutorial. I like that it focuses on ideas. And the proofs help
@stanley_h_chan Congratulations! incidentally was just reading your book probability for data science..great stuff🙌🏼
@stanley_h_chan Thanks, Stanley, for doing this. This is VERY helpful.
@stanley_h_chan Thanks for sharing! Will share the learnings