π¨ 10 days left! Submit to L2S: Learning to Sense @ NeurIPS 2025 π‘π€
π
Dec 6/7, San Diego, USA
π€ Invited speakers from academia & industry
π Details & CFP: sites.google.com/view/l2s-wor...
Letβs shape the future of how machines sense!
#L2S #NeurIPS2025 #NeurIPSWorkshop
13.08.2025 10:16 β π 4 π 4 π¬ 0 π 0
Excited to share our work at the WiCV Workshop, CVPR 2025! Catch our presentation today from 3:00β4:30 PM (Nashville time)!
12.06.2025 09:26 β π 6 π 1 π¬ 0 π 0
We are presenting 7 papers (main conference+ workshops) at #CVPR2025 www.keuper-labs.org/research/?se...
11.06.2025 09:55 β π 6 π 3 π¬ 5 π 0
6/ π§΅ 3D-WAG: Wavelet-Guided Autoregressive Generation for 3D Shapes
Authors: T. Medi*, A. Rampini, P. Reddy, P. K. Jayaraman, M. Keuper
π 3D-WAG introduces wavelet-guided autoregressive generation for 3D shapes, aiming for better geometry modeling.
π arxiv.org/abs/2411.19037
11.06.2025 20:44 β π 3 π 1 π¬ 1 π 0
6 / π§΅ ...
Workshop: Women in Computer Vision (WiCV)
π± @tejaswinimedi.bsky.social @margretkeuper.bsky.social
11.06.2025 20:44 β π 3 π 1 π¬ 1 π 0
Team #GirlsDay 2025 with Julie missing. It was great exploring pixels and their power with 19 bright, young minds. Feeling inspired while hoping to inspire. It was a delight @margretkeuper.bsky.social @tejaswinimedi.bsky.social @keuper-labs.bsky.social #UniMannheim
03.04.2025 13:37 β π 6 π 3 π¬ 0 π 0
Hi everyone π !
I'm excited to present our work FAIR-TAT, an adversarial training framework to address fairness issues in DNN classifiers.
Catch our poster at WACV 2025 on March 3rd, from 11:15 AM. Happy to connect and discuss!
π arxiv.org/pdf/2410.23142
@margretkeuper.bsky.social & #Steffen Jung
02.03.2025 13:03 β π 7 π 1 π¬ 0 π 1
ποΈβ·οΈ Looking back on a fantastic week full of talks, research discussions, and skiing in the Austrian mountains!
31.01.2025 19:38 β π 31 π 11 π¬ 0 π 0
Liesel Beckmann Distinguished Professor of Computer Science at Technical University of Munich and Director of the Institute for Explainable ML at Helmholtz Munich
Visual Inference Lab of @stefanroth.bsky.social at @tuda.bsky.social - Research in Computer Vision and Machine Learning.
See https://www.visinf.tu-darmstadt.de/visual_inference
Computer Vision & Machine Learning researcher at NAVER LABS europe
she/her - https://dlarlus.github.io/
PhD Student @ Max Planck Institute for Informatics
PhD student at the University of Tuebingen. Computer vision, video understanding, multimodal learning.
https://ninatu.github.io/
Computer Vision and Machine Department at the Max Planck Institute for Informatics | https://www.mpi-inf.mpg.de/departments/computer-vision-and-machine-learning/
Math Assoc. Prof. (On leave, Aix-Marseille, France)
Teaching Project (non-profit): https://highcolle.com/
Professor for Visual Computing & Artificial Intelligence @TU Munich
Co-Founder @synthesiaIO
Co-Founder @SpAItialAI
https://niessnerlab.org/publications.html
PhD student sup. by Frank Hutter; researching automated machine learning and foundation models for (small) tabular data!
Website: https://ml.informatik.uni-freiburg.de/profile/purucker/
PhD candidate @ University of Mannheim working on #RecSys, information retrieval & #NLP | prev. visited WΓΌNLP@UniWΓΌrzburg
https://andreeaiana.github.io/
PhD Candidate at the Max Planck ETH Center for Learning Systems working on 3D Computer Vision.
https://wimmerth.github.io
AIME provides GPU cloud compute and develops AI-machines for deep learning and model inference (Multi-GPU workstations & HPC servers). We are in Berlin, Germany.
PhD Student in Computer Vision
PhD Student in 3D Computer Vision at the University of Freiburg
https://pschroeppel.github.io/
Associate Professor in EECS at MIT. Neural nets, generative models, representation learning, computer vision, robotics, cog sci, AI.
https://web.mit.edu/phillipi/
PhD student @ Real Virtual Humans group (IMPRS-IS & @unituebingen.bsky.social), ex-Samsung AI
https://virtualhumans.mpi-inf.mpg.de/people/Petrov.html
ποΈππ©πͺ
πͺπΊ PhD student at the Max Planck Institute for Informatics, and Institute of Science & Technology - Austria.
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Webpage: https://sidgairo18.github.io/