MC-Calib: a generic and robust calibration toolbox for multi-camera systems
TLDR: open source to calibrate multi-camera (perspective, fisheye, hybrid) systems with diverse configurations (overlapping, non-overlapping, converging).
GitHub: https://t.co/Gz5uuLXhog
If you're at #CVPR2026, come see Fast SceneScript in person tomorrow morning!
Learn how we hit 5× faster 3D scene layout estimation using multi-token prediction.
📍 Poster #227 (ExHall A-F)
⏰ 10:45 AM - 12:45 PM | Poster Session 1
Excited to share that our paper “Fast SceneScript” is accepted to @CVPR 🎉
5× faster language-based 3D scene layout estimation via multi-token prediction — without sacrificing accuracy.
https://t.co/z6rUYXcB9g
@RuihongYin12@XuepengShi123@Marco__Manfredi
@ducha_aiki@Christopher_Xie@yawarnihal@jstraub6@rapideRobot Scenescript is extremely powerful as it can be extended to different representations only by expanding the language.
We've actually optimized it 5x without sacrificing accuracy with multi-token prediction, resulting in FastScenescript https://t.co/z6rUYXcB9g
Thanks to @CVPR reviewers, we extended the paper with validation on real-world data and experiments on 3D object detections. The original findings remain consistent.
Paper: https://t.co/z6rUYXcB9g
Excited to share that our paper “Fast SceneScript” is accepted to @CVPR 🎉
5× faster language-based 3D scene layout estimation via multi-token prediction — without sacrificing accuracy.
https://t.co/z6rUYXcB9g
@RuihongYin12@XuepengShi123@Marco__Manfredi
Excited to share that our paper “Fast SceneScript” is accepted to @CVPR 🎉
5× faster language-based 3D scene layout estimation via multi-token prediction — without sacrificing accuracy.
https://t.co/z6rUYXcB9g
@RuihongYin12@XuepengShi123@Marco__Manfredi
Exciting 6-month internship at @QCOMResearch#XR Amsterdam in Deep Learning for 3D Scene Understanding. Join a team pushing the boundaries of AI for 3D computer vision and extended reality. Learn more and apply here: https://t.co/VgHulhqO3j
With the final release of 2025, MC-Calib v1.4.0 now also works with the latest @opencvlibrary v4.10 and comes with multiple other improvements (see https://t.co/20aExd2KLT)
MC-Calib: a generic and robust calibration toolbox for multi-camera systems
TLDR: open source to calibrate multi-camera (perspective, fisheye, hybrid) systems with diverse configurations (overlapping, non-overlapping, converging).
GitHub: https://t.co/Gz5uuLXhog
Meet @Frameau89 , Assistant Professor at SUNY in Korea, who was a speaker at ANAIS 2023. He will be joining us again this year at 5th ANAIS 2024, so don't miss your chance to learn from this incredible speaker, along with 14+ other speakers from around the world!
Are you pursuing a PhD and are you interested in working on efficiency of LLMs/LVMs? Then join our model efficiency team in #QualcommAIResearch for an internship!
Apply below, we have openings for 2025 as well as autumn/winter 2024.
https://t.co/vNrUT9wzrB
MC-Calib v1.3.0 comes with improvements to the utilities for post-calibration analysis as well as bug fixes in non-overlapping camera calibration scenario
https://t.co/9HzxOnmn6h
MC-Calib: a generic and robust calibration toolbox for multi-camera systems
TLDR: open source to calibrate multi-camera (perspective, fisheye, hybrid) systems with diverse configurations (overlapping, non-overlapping, converging).
GitHub: https://t.co/Gz5uuLXhog
Say hello to GPT-4o, our new flagship model which can reason across audio, vision, and text in real time: https://t.co/MYHZB79UqN
Text and image input rolling out today in API and ChatGPT with voice and video in the coming weeks.
Cannot overestimate the power of the open-source - a user discovered a bug that caused worsened calibration of the fisheye setup.
Now, MC-Calib v1.2.1 fixes it and brings improved calibration of fisheye cameras
https://t.co/iw8lRa0SZf
MC-Calib: a generic and robust calibration toolbox for multi-camera systems
TLDR: open source to calibrate multi-camera (perspective, fisheye, hybrid) systems with diverse configurations (overlapping, non-overlapping, converging).
GitHub: https://t.co/Gz5uuLXhog
We have an #internship position in our @Qualcomm #XR Labs team in Amsterdam. Are you a (Ph.D.) student with experience and interest in research on efficient models for #3D (scene) reconstruction/understanding? https://t.co/K7bEIIeBUd
We have an #internship position in our @Qualcomm #XR Labs team in Amsterdam. Are you a (Ph.D.) student with experience and interest in research on efficient models for #3D (scene) reconstruction/understanding? https://t.co/K7bEIIeBUd
🚨 I'm looking for a postdoc position to start in Fall 2024!
My most recent research interests are related to understanding foundation models (especially LLMs!), making them more reliable, and developing principled methods for deep learning.
More info: https://t.co/0LaOabpcxr
Two papers from our team at @ICCVConference
1. DG-Recon: Depth-Guided Neural 3D Scene Reconstruction
TLDR: volumetric neural scene reconstruction with depth priors and multi-view feature fusion
4 days until #ICCV2023! Find out all about our #XR demos and come experience them at the @Qualcomm booth next week: "Depth-Guided Neural 3D Scene Reconstruction" and "Improved Self-supervised Depth Estimation on Reflective Surfaces" https://t.co/Zf8vqmLdC2
2. 3D Distillation: Improving Self-Supervised Monocular Depth Estimation on Reflective Surfaces
TLDR: do the 3D fusion of the predicted depths, project them back to the corresponding frames, and use them as pseudo-labels to train the model