Senior Solution Architect @ NVIDIA | ex Senior Research Engineer @ Meta
Zurich, Switzerland
Joined May 2021
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See you later at the #iccv25 Oral Session 6B (Kalākaua Ballroom) at 1PM and poster 356 from 2:30PM!
We will present our paper “Easy3D: A Simple Yet Effective Method for 3D Interactive Segmentation” with @Normanisation
Project + Code: simonelli-andrea.github.io/e…
Andrea Simonelli retweeted
Meet MapAnything – a transformer that directly regresses factored metric 3D scene geometry (from images, calibration, poses, or depth) in an end-to-end way. No pipelines, no extra stages. Just 3D geometry & cameras, straight from any type of input, delivering new state-of-the-art results 🚀
One universal model enables SoTA for:
🔥 Mono Depth Estimation
🔥 Multi-View SfM
🔥 Multi-View Stereo
🔥 Depth Completion
🔥 Registration
… and many more possibilities! – plus everything is metric 🎯
We release code for data processing, training, benchmarking & ablations – everything Apache 2.0!
Details & Links 👇
Andrea Simonelli retweeted
Very excited to announce our final line-up of fantastic speakers at this year's @CVPR workshop on Open-World 3D Scene Understanding with Foundation Models ✨ #OpenSUN3D #cvpr2025
📆 June 12, 2pm-6pm
🏡 opensun3d.github.io
Tired of staring at GS reconstructions? Check out our new method for 3D Interactive Segmentation💥
Easy3D: A Simple Yet Effective Method for 3D Interactive Segmentation
Project: simonelli-andrea.github.io/e…
Paper: arxiv.org/pdf/2504.11024
👇Real-time VR interaction on a GS scene👇
Thanks to my amazing co-authors @Normanisation and Peter Kontschieder at Meta Zürich!
Andrea Simonelli retweeted
📢Panoptic Lifting for 3D Scene Understanding with Neural Fields #CVPR23 highlight!
Given only posed RGB images of a scene, we optimize a panoptic radiance field representing color, depth, semantics, and instances at any point in space.
Vid: youtu.be/QtsiL-6rSuM
@yawarnihal
Andrea Simonelli retweeted
Happy to share that both our papers, Panoptic Lifting and DiffRF have been accepted to #CVPR2023! Congratulations to all the collaborators and thanks Peter Kontschieder & @Meta for hosting @Normanisation and me as interns during the summer in Zurich. Was an amazing experience 😁
Panoptic Lifting for 3D Scene Understanding with Neural Fields
abs: arxiv.org/abs/2212.09802
project page: nihalsid.github.io/panoptic-…
Andrea Simonelli retweeted
Looking for 3D-consistent panoptic segmentations without the typical frame-to-frame flickering? Check out this amazing work by @yawarnihal !
Happy to share that both our papers, Panoptic Lifting and DiffRF have been accepted to #CVPR2023! Congratulations to all the collaborators and thanks Peter Kontschieder & @Meta for hosting @Normanisation and me as interns during the summer in Zurich. Was an amazing experience 😁
Andrea Simonelli retweeted
Come and swing by our AutoRF poster session this afternoon, June 21, 2:30pm-5:00pm, at 136b @CVPR for a chat about generalizing novel-view synthesis and implicitly parking cars. @MattNiessner @AndreaSimonell and @RealityLabs
Check out AutoRF: Learning 3D Object Radiance Fields from Single View Observations #CVPR2022 by @Normanisation.
Key idea: we learn shape & appearance priors from single-view training samples by exploiting machine-annotated labels!
sirwyver.github.io/AutoRF/
youtu.be/mDcsSK3GaF4
Andrea Simonelli retweeted
We are hiring @FBK_research
Computer Vision and Machine Learning R&D position.
The successful candidate will be involved in the Horizon Europe projects AI-PRISM and Ferox (2022-2025).
Deadline for applications: 27 June 2022.
#ComputerVision #DeepLearning
tinyurl.com/4cvw4ur4
Andrea Simonelli retweeted
The new 3D deep descriptor GeDi improves Generalisation and Distinctive abilities of our previous DIP descriptor. Point cloud registration has never been so easy. Check out our new IEEE TPAMI paper for more details arxiv.org/abs/2105.10382 #CV #DeepLearning @DI_FBK @FBK_research
Andrea Simonelli retweeted
Our work (@YimingWang107) about loop closures for SLAM using 3D deep descriptors in collaboration with Shandong University (@ShandongU) has been recently published in IEEE RAL. We achieve SOTA in loop closure detection. arxiv.org/abs/2111.00440. Stay tuned for source code! @DI_FBK
Andrea Simonelli retweeted
I’m happy to announce that I have several open PhD positions in #deeplearning for #conversationalAI, #speech technologies, and more generally #MachineLearning for #sequence processing.
More information here:
bit.ly/3Kfx9BX
If you are interested, please apply!
Andrea Simonelli retweeted
I'm looking for a summer/fall intern working at @Mila_Quebec on speaker recognition and diarization using #SpeechBrain.
If you have expertise in this field (with relevant publications) feel free to apply as soon as possible to [email protected].
ALT https://speechbrain.github.io/
Andrea Simonelli retweeted
Bored just staring at 3D bounding boxes? We generate renderable 3D representations from only single-view observations in our latest #CVPR2022 paper.
Great collaboration @AndreaSimonell, Lorenzo Porzi, Samuel Rota Bulò, and Peter Kontschieder from @RealityLabs and @MattNiessner
Check out AutoRF: Learning 3D Object Radiance Fields from Single View Observations #CVPR2022 by @Normanisation.
Key idea: we learn shape & appearance priors from single-view training samples by exploiting machine-annotated labels!
sirwyver.github.io/AutoRF/
youtu.be/mDcsSK3GaF4
Andrea Simonelli retweeted
Check out AutoRF: Learning 3D Object Radiance Fields from Single View Observations #CVPR2022 by @Normanisation.
Key idea: we learn shape & appearance priors from single-view training samples by exploiting machine-annotated labels!
sirwyver.github.io/AutoRF/
youtu.be/mDcsSK3GaF4
Check out our group's latest CVPR22 work!
AutoRF: Learning 3D Object Radiance Fields from Single View Observations
abs: arxiv.org/abs/2204.03593
project page: sirwyver.github.io/AutoRF/
Andrea Simonelli retweeted
Our paper "Self-Supervised Models are Continual Learners" (arxiv.org/abs/2112.04215) was accepted at #CVPR2022. We uploaded the camera-ready version on arXiv and released the code on GitHub (github.com/DonkeyShot21/cass…) @victorturrisi @xavirema @eliricci_ @inthebrownbag @julienmairal
Andrea Simonelli retweeted
Honourable Mention @ICCV_2021
Viewing Graph Solvability via Cycle Consistency
Federica Arrigoni (University of Trento), Andrea Fusiello, Elisa, Tomas Pajdla
[Session 5 A/B]
We're almost there!
Join us at the 1st Workshop on 3D Object Detection from Images @ICCV_2021
*** TOMORROW (Oct 11) from 8AM EDT (2PM CEST) ***
Invited talks by Andreas Geiger, Adrien Gaidon, Fisher Yu, Xiaoming Liu and Aljosa Osep!
Visit sites.google.com/unitn.it/3d…
