Balamurali

PhD student, Open to Internships. 9+ years of research/developer experience. 25+ articles in computer vision, and medical imaging. 5+ consulting/internships.

[Shambhavi Mishra @ShambhaviCodes]

(5/5) Checkout the paper : https://t.co/TS3VK242Sv
GitHub : https://t.co/WT7ZTxRF7l
Thanks to the co-authors : @93Balamuralim, @IsmailBenAyed1, @marcopeddy and @josedolz_ets

[Jose Dolz @josedolz_ets]

It seems some of my students will go to Hawaii this winter to present their works at @wacv_official
1) Prompting classes: Exploring the Power of Prompt Class Learning in Weakly Supervised Semantic Segmentation.
Paper: https://t.co/fs5cUV7tRL
Github: https://t.co/lRG9Q7xzAo

[Roozbeh Mottaghi @RoozbehMottaghi]

If you are a recent PhD graduate or will graduate soon and have a passion for Embodied AI and Computer Vision, join our team at FAIR. We have an opening for a Research Scientist position on my team. The details are in the job description at this link: https://t.co/G2nNzYmca1.

[Sanju Sinha @Sanjusinha7]

I am hiring multiple Computational Biologists for my new lab @sbpdiscovery , San Diego.

An alternative to a postdoc, it will pay higher (70-90K$; Be the change you want to see in the world) & is tailored to develop skills to industry transition. https://t.co/tU4Z1HqSXN

My lab focuses on developing machine learning techniques at the intersection of aging and cancer to discover preventative therapies against cancer.

If you find this problem motivating and have pre-existing ML skills, I think you could make an enormous contribution. I want to especially encourage folks from underrepresented backgrounds to apply. Can also email directly to: [email protected]

Pls share this opportunity with relevant folks.

#AcademicTwitter #AcademicChatter #PostdoctoralFellow #ScienceJobs #Job #MachineLearning #Bioinformatics

[Balamurali @93Balamuralim]

Paper: https://t.co/EJUVuovJbV

Code: https://t.co/D4vSs7Awyk

Authors: @93Balamuralim, @sukeshadiga, @bing_bingyuan, Herve Lombaert, @IsmailBenAyed1, @josedolz_ets.

[Balamurali @93Balamuralim]

Happy to inform that, our paper "Trust your neighbours: Penalty-based constraints for model calibration" has been accepted in MICCAI 2023. The reviewers provided encouraging comments and were impressed with our novel formulation and solution.
#MICCAI2023

[Balamurali @93Balamuralim]

* Based on these observations, we propose a principled and simple solution based on equality constraints on the logit values, which enables to control explicitly both the enforced constraint and the weight of the penalty, offering more flexibility.

[IPMI2023 @ipmi2023]

Second oral talk of Day 5 beginning now, on harmonization flows...

[Jose Dolz @josedolz_ets]

A lot of interest in our second poster for calibrating deep neural networks #CVPR23 poster 354 @IsmailBenAyed1 @jerome_rony @adrian_galdran

[Jose Dolz @josedolz_ets]

If you are at #CVPR2023 drop by to see our posters for tomorrow.

AM: 289 - A strong baseline for generalized few-shot semantic segmentation.

PM: Class adaptive network calibration.

with @IsmailBenAyed1 @bing_bingyuan @jerome_rony @adrian_galdran Sina Hajimiri and Malik Boudiaf

[Jose Dolz @josedolz_ets]

One of our latest works on calibration in segmentation networks has been accepted at MedIA. Kudos to all the team @93Balamuralim @IsmailBenAyed1 @bing_bingyuan @adrian_galdran
Arxiv: https://t.co/8R6teAhuAA
Github: https://t.co/8ihgllijdu

[Balamurali @93Balamuralim]

@marksgraham_ @mjorgecardoso @jthteo @Warvito @paulwright74 @PTudosiu @KingsImaging A very good study on OOD. Have you released the code for this ?

[Balamurali @93Balamuralim]

@Michael_J_Black Thanks for sharing this amazing story. It provides an unique perspective for young graduate students like me.

[Balamurali @93Balamuralim]

@elliottszwu @ICCV_2021 Thanks for the workshop. It was very informative and I really enjoyed it.

[Balamurali @93Balamuralim]

@ID_AA_Carmack https://t.co/6og81pcyRf please check this work.

[Balamurali @93Balamuralim]

@raghavian @MICCAI2020 It can definitely help newcomers in research to understand the review process. I remember searching reviews for a particular paper and could never find it. Midl already has this transperancy. Good that miccai also has this now.

[Balamurali @93Balamuralim]

Awesome series.

[Matthias Niessner @MattNiessner]

We made a website of our TUM AI Lecture series:
https://t.co/YGzuE2Buah

- Videos of all previous speakers online!
- Schedule with upcoming speakers!

Talks are always streamed live on Friday's (see links above) - 9am PST / 6pm CET.

Really cool talks - must watch -:)