Aditya Prakash (@ap229997) profile picture
Champaign, Illinois
Joined September 2017
Starting now in Room 209 @CVPR :)
In this #CVPR2025 edition of our community-building workshop series, we focus on supporting the growth of early-career researchers. Join us tomorrow (Jun 11) at 12:45 PM in Room 209 Schedule: sites.google.com/view/stando… We have an exciting lineup of invited talks and candid panels: @sarameghanbeery, @dimadamen, @jbhuang0604, @lealtaixe, @LerrelPinto, @lschmidt3, @shubhtuls, @gulvarol, @cvondrick, @sainingxie Co-organizing with @unnatjain2010, @ap229997, @georgiagkioxari, @akanazawa, and Lana Lazebnik @CVPR
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In this #CVPR2025 edition of our community-building workshop series, we focus on supporting the growth of early-career researchers. Join us tomorrow (Jun 11) at 12:45 PM in Room 209 Schedule: sites.google.com/view/stando… We have an exciting lineup of invited talks and candid panels: @sarameghanbeery, @dimadamen, @jbhuang0604, @lealtaixe, @LerrelPinto, @lschmidt3, @shubhtuls, @gulvarol, @cvondrick, @sainingxie Co-organizing with @unnatjain2010, @ap229997, @georgiagkioxari, @akanazawa, and Lana Lazebnik @CVPR
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After the success of the "Scholars and Big Models" workshop at #CVPR2023, we're thrilled to be back with another unique workshop at #CVPR2024! 🚀 Join us for CV 20/20: A Retrospective Vision tomorrow at 12:45 PM in Arch 201 🌟@CVPR 🔗sites.google.com/view/retroc…
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Aditya Prakash retweeted
Introducing: Opening Cabinets and Drawers in the Real World using a Commodity Mobile Manipulator We develop a system to open unseen cabinets and drawers *zero-shot* from novel environments using the Stretch RE2: arjung128.github.io/opening-…
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Check out our latest work on autonomous driving in CARLA with improved expert agent, imitation learning models, and dataset. Paper: arxiv.org/abs/2205.15997 Code: github.com/autonomousvision/…
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Aditya Prakash retweeted
🔥StyleGAN-XL🔥 @AutoVisionGroup released the weights for their amazing StyleGAN-XL model! github.com/autonomousvision/… You know what we are REALLY here for 😉 #ai #research #MachineLearning #DeepLearning
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My PhD advisor taught me *a lot*. I wrote down a few of the lessons to pass them on to my own PhD students. web.eecs.utk.edu/~azh/blog/l…
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Aditya Prakash retweeted
The CARLA Autonomous Driving challenge 2021 is now open, held as part of the ML for AD workshop: leaderboard.carla.org/challe… Submit an entry by Nov 19 to demonstrate the benefits of your ideas in autonomous driving! led by @ros_german, J. Bartiromo, G. Lopez, J. Moriana, V. Koltun
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Aditya Prakash retweeted
NEAT: Neural Attention Fields for End-to-End Autonomous Driving pdf: arxiv.org/pdf/2109.04456.pdf abs: arxiv.org/abs/2109.04456 github: github.com/autonomousvision/…
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KiloNeRF was accepted at #ICCV2021!! By using thousands of tiny MLPs novel views can be rendered in real-time (50 fps) with NeRF's quality. Setting it apart and crucial for scalability, the repr. is decoded on the fly and so only needs <100MB of GPU mem. github.com/creiser/kilonerf
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At #CVPR2021, we are presenting Multi-Modal Fusion Transformer for End-to-End Autonomous Driving. Joint work with @kashyap7x and Andreas Geiger @AutoVisionGroup Session 5, June 22, 10 PM EDT Project: bit.ly/transfuser Code: github.com/autonomousvision/… youtu.be/WxadQyQ2gMs
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Aditya Prakash retweeted
Multi-Modal Fusion Transformer for End-to-End Autonomous Driving pdf: arxiv.org/pdf/2104.09224.pdf abs: arxiv.org/abs/2104.09224 github: github.com/autonomousvision/…
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Aditya Prakash retweeted
KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs pdf: arxiv.org/pdf/2103.13744.pdf abs: arxiv.org/abs/2103.13744
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Aditya Prakash retweeted
The @carlasimulator Autonomous Driving Challenge 2020 is now open for submissions from academia and industry! leaderboard.carla.org/challe… Winners of each track, and those with novel approaches, will be invited to present at the NeurIPS AD workshop on Dec 11th ml4ad.github.io
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Aditya Prakash retweeted
Why Can't I Reproduce Their Results? - Or - What I Wish I Knew as a Graduate Student. theorangeduck.com/page/repro…
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Aditya Prakash retweeted
Offline RL uses prior datasets. Online RL learns via interaction. Can we do both, use prior data to bootstrap online RL? Yes, but it's harder than it seems! We analyze and offer a solution, AWAC, w/A.Nair,M.Dalal,@abhishekunique7 arxiv.org/abs/2006.09359 awacrl.github.io
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At #CVPR2020, we'll be presenting 2 papers on robust self-driving in the CARLA environment. Check out our paper and video. (1/2) Exploring Data Aggregation in Policy Learning for Vision-based Urban Autonomous Driving Paper: cvlibs.net/publications/Prak… Video: youtu.be/VxYUM5VTnAI
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(2/2) Learning Situational Driving Paper: cvlibs.net/publications/Ohn-… Video: youtu.be/XkZyEqO1l5o Joint work with @eshedob, @aseembehl, @kashyap7x and Andreas Geiger For more information and questions, join the Q&A session on June 18 at 11:00 and 23:00 PDT.
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The CARLA Driving Leaderboard is in public beta: leaderboard.carla.org.This open service evaluates and benchmarks driving agents in complex traffic situations. A fair test bed for all agents. Thanks to those who made this possible: @alphadriveai @intel and @CVC_UAB. Join today!
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