🚀More good news: our paper SE-GS is accepted as an oral at ICCV 2025 🥳📸
Gaussian Splatting gets another boost 🌈
Code’s out, camera-ready coming soon!
🔗 lnkd.in/gprqxNjq
#ICCV2025 #GaussianSplatting #3DVision
#3Dreconstruction #rendering
31.07.2025 09:47 — 👍 0 🔁 0 💬 0 📌 0
QT-DOG: QUANTIZATION-AWARE TRAINING FOR DOMAIN GENERALIZATION
QT-DoG: QUANTIZATION-AWARE TRAINING FOR DOMAIN GENERALIZATION
📢 Excited to share my first conference paper got into #ICML2025! 🎉
QT-DoG: Quantization-Aware Training for Domain Generalization
Huge thanks to Mathieu salzmann and Hieu Le for their support 🙏
🔗 saqibjaved1.github.io/QT_DoG/
#ML #AI #DeepLearning #quantization #CV
09.05.2025 13:44 — 👍 1 🔁 0 💬 0 📌 0
TC3DGS
Temporally Compressed 3D Gaussian Splatting for Dynamic Scenes
Had a great time giving a talk at Magic Leap on "Real-Time Dynamic 3D Scenes: Temporal Compression of Gaussian Representations"!
Shared our TC3DGS work and exciting future directions in 3D vision! 🚀
🌐 ahmad-jarrar.github.io/tc-3dgs/
#3DReconstruction #GaussianSplatting #ComputerVision #ARVR
10.04.2025 00:35 — 👍 1 🔁 0 💬 0 📌 0
✨Our recent work introduces compressed dynamic 3D Gaussian representations: TC3DGS!
TC3DGS utilizes temporal pruning, mixed-precision quantization, & trajectory interpolation—all with minimal quality loss!🚀
🌐 Page: ahmad-jarrar.github.io/tc-3dgs
#3DReconstruction #DynamicScenes #GaussianSplatting
19.12.2024 15:16 — 👍 1 🔁 0 💬 0 📌 0
🚀 Do check out our latest work on Modular Mixed-precision Quantization!
🌐 Page: saqibjaved1.github.io/MQAT_/
#Quantization #Mixedprecision #DeepLearning #Robotics #AI #6Dpose #edgeAI
19.12.2024 14:39 — 👍 2 🔁 0 💬 0 📌 0
Thank you so much! It was an absolute pleasure collaborating with you as well—looking forward to more exciting projects together!
16.12.2024 18:14 — 👍 1 🔁 0 💬 0 📌 0
🚀 Excited to share our TMLR publication on Modular Quantization-Aware Training (MQAT)!
We show how modular mixed-precision quantization boosts performance & reduces model size for edge devices! 🎯
🌐 Page: saqibjaved1.github.io/MQAT_/
#DeepLearning #Robotics #AI #6Dpose #edgeAI
16.12.2024 12:15 — 👍 3 🔁 0 💬 2 📌 1
Principal research scientist at Google DeepMind. Synthesized views are my own.
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I am a Professor of Computer Science at EPFL in Switzerland. My main research interests are in Computer Vision, Machine Learning, Computer Assisted Engineering, and Biomedical imaging.
PhD student @epfl | trying to boost science via machine learning
Strengthening Europe's Leadership in AI through Research Excellence | ellis.eu
PhD student @ EPFL. Interested in graph structures and long-range dependencies in general.
Husband. Father. Artificial Intelligence and Machine Learning. Software Developer. Retired Army Intelligence Officer. Progressive. Antifascist. GenX. INTP.
Colorado, USA.
Computer Science -- Computer Vision and Pattern Recognition (cs.CV)
source: export.arxiv.org/rss/cs.CV
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TMLR Infinite Conference: https://tmlr.infinite-conf.org/
PhD student @ EPFL 🇨🇭 | Prev: research intern @ Google DeepMind, ByteDance AI Lab | https://charlieleee.github.io
Hacker, Computational Neuroscience, ML beyond logistic regression, bear and muscle spindle aficionado. Passionate about open source. #deeplabcut and see https://mathislab.org for more.
AI Researcher
Prof @ EPFL, Lead @ CLAIRE lab, ELLIS Scholar
Ex: Staff Research Scientist @ Deepmind, MSR, IBM Research
As a hub for artificial intelligence, the EPFL AI Center leverages the extensive expertise of faculty and researchers across the Institution. It fosters a collaborative environment that nurtures multidisciplinary AI research, education, and innovation.
Scientist 👩🔬 & EPFL Prof 🇨🇭 | DeepLabCut.org , 🦓 cebra.ai | neuroscience & ML 🧠 mackenziemathislab.org | ✨CSO at Kinematik.ai | occasionally 🐦⬛birds/🌱outdoors/🍣food/👠fashion
Professor in computer science and robotics at EPFL, academic director of the center for learning sciences.
Deep Leaning PhD student at @EPFL🇨🇭working on neural network optimization
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#proteinchemistry
EPFL Professor, Co-Director EPFL AI Center, digital epidemiologist, CH++
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