Creator of ViTSTR and EfficientSpeech (ICASSP2023) and co-creator of PARSeq. Professor & Scientist at the University of the Philippines.

Joined February 2007
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Most ARM chips can't run decent AI models. Introducing EfficientSpeech, a 266k-param TTS model. Low cost ARM chips like in RPi4 can generate 104sec of speech mel spec in 1sec. Here's an AI-generated video w/ voice from EfficientSpeech. Info: github.com/roatienza/efficie… #ICASSP2023
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We are lucky to have this paper accepted at ECCV 2022! More details later ... #ECCV2022
15 Jul 2022
Scene Text Recognition with Permuted Autoregressive Sequence Models deepai.org/publication/scene… by Darwin Bautista and @jacobe #Computation #Language
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Rowel Atienza πŸ‡΅πŸ‡­ retweeted
23 Mar 2022
.@Gradio & @huggingface for Rapid Deep Learning App Development by @jacobe link: medium.com/@rowel/gradio-hug…
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Idea: If data augmentation improves model generalization, why not use it to generate 2 new inputs and force the representations to agree. Result: Additional model performance improvement. Comparison: Unlike Label Smoothing, the performance of our method, AgMax, is consistent.
22 Oct 2021
Improving Model Generalization by Agreement of Learned Representations from Data Augmentation deepai.org/publication/impro… by @jacobe #ComputerVision #ImageNet
Rowel Atienza πŸ‡΅πŸ‡­ retweeted
I am excited to share my latest work: 8-bit optimizers – a replacement for regular optimizers. Faster πŸš€, 75% less memory πŸͺΆ, same performanceπŸ“ˆ, no hyperparam tuning needed πŸ”’. 🧡/n Paper: arxiv.org/abs/2110.02861 Library: github.com/facebookresearch/… Video: youtube.com/watch?v=IxrlHAJt…
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Rowel Atienza πŸ‡΅πŸ‡­ retweeted
9 Sep 2021
We’re introducing GSLM, the first language model that breaks free completely of the dependence on text for training. This β€œtextless NLP” approach learns to generate expressive speech using only raw audio recordings as input. Learn more and get the code: ai.facebook.com/blog/textles…
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Rowel Atienza πŸ‡΅πŸ‡­ retweeted
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My 1st github project that reached the 1k milestone. @PacktPub github.com/roatienza
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Yesterday, my former grad student Daryl gave a talk at Sony CSL Paris about his thesis on Next View Policy for 3D Reconstruction. Youtube: youtu.be/KdyDj3bjU0I

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Rowel Atienza πŸ‡΅πŸ‡­ retweeted
After the Christmas break, we come back with our #enticelle seminar series! We welcome Daryl Peralta from @upsystem with his talk about β€˜Next-Best View Policy for 3D Reconstruction’. Register here to attend on Wednesday 13 at 11am (CET) csl.sony.fr/seminars/
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Rowel Atienza πŸ‡΅πŸ‡­ retweeted
31 Aug 2020
Next-Best View Policy for 3D Reconstruction pdf: arxiv.org/pdf/2008.12664.pdf abs: arxiv.org/abs/2008.12664
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Our paper Next-Best View Policy for 3D Reconstruction was presented (oral) Aug 28 at ECCV 2020 Workshops. Key contribs: 1) 3K 3D House Models dataset 2)Learning algo to efficiently scan 3D houses. Paper: arxiv.org/abs/2008.12664 Youtube: youtu.be/OXynAHTDTTA
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Rowel Atienza πŸ‡΅πŸ‡­ retweeted
Advanced Deep Learning with TensorFlow 2 and Keras 2nd Ed (@PacktPub) has been added to bookwatch. Author Rowel Atienza (@jacobe) introduces the practical side of deep learning i-programmer.info/book-watch…

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Rowel Atienza πŸ‡΅πŸ‡­ retweeted
26 Jun 2020
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