🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

📢 Benchmark for 6D Object Pose Estimation 📢 #BOP challenge 23 opened! bop.felk.cvut.cz/challenges/bop… Results to be presented at the #R6D workshop at #ICCV2023. The challenge has always pushed the field forward. This year: ❓unseen objects❓. Can you onboard a new object in 5mins?

The new BOP challenge 2023 pushes generalizable 6D object pose estimation. 🏆 Visit us this Sunday at the mixed reality workshop #CV4MR at #CVPR2023 🇨🇦 and learn about the current state of 6D object pose estimation and the next challenges. arxiv.org/abs/2302.13075

#CVPR2023 June 22, Thu AM (Poster 57) In-Hand 3D Object Scanning From an RGB Sequence Shreyas Hampali, Tomáš Hodaň, Luan Tran, Lingni Ma, Cem Keskin, VincentLepetit pdf: arxiv.org/abs/2211.16193

#ICCV2023 R6D Workshop Tue Oct 3 (PM) CNOS: A Strong Baseline for CAD-based Novel Object Segmentation vannguyen, Thibault GROUEIX, Georgy Ponimatkin, VincentLepetit, Tomáš Hodaň pdf: arxiv.org/abs/2307.11067 code: github.com/nv-nguyen/cnos

Zuzana Kúkelová. Laureátka Ceny Neuron 2023 pro nadějné vědce v oboru computer science za výzkum v oblasti počítačového vidění. Gratulujeme za odvahu měnit budoucnost!

Missed the #ICCV2023 Workshop on Recovering 6D Object Pose? #R6D Find all recordings here: cmp.felk.cvut.cz/sixd/workshop_… Thanks to Tomáš Hodaň Yann Labbé and all speakers for the new insights!

One highlight were the new BOP challenge results: For the first time we evaluated unseen object pose estimation, i.e. methods that generalize without expensive retraining. Here is a summary of the latest progress 🚀 youtube.com/watch?v=PcDszF…

📢 Benchmark for 6D Object Pose Estimation 📢 BOP challenge 24 has been opened! bop.felk.cvut.cz/challenges/bop… Results to be presented at the R6D workshop at #ECCV2024 Details in comments below👇

The new BOP challenge 2024 pushes model-free and generalizable 6D object pose estimation. 🏆 Learn about the current state of 6D object pose estimation and the next challenges by visiting our poster at the mixed reality workshop (10:30-11:15) #CV4MR at #CVPR2024 📷

We are releasing 🔥HOT3D🔥, a new egocentric dataset for 3D hand and object tracking. 833 minutes (3.7M images) of multi-view image streams showing 19 subjects interacting with 33 objects, annotated with high-quality 3D poses of hands and objects. Paper: arxiv.org/pdf/2406.09598

📈 BOP update: Deadline for the 2024 challenge is extended to November 29! BOP'24 focuses on model-free and model-based 2D/6D object detection, and introduces three new datasets from Meta and NVIDIA – HOT3D, HOPEv2, and HANDAL. bop.felk.cvut.cz/challenges/bop…

Poster #72 #ECCV2024 is already up and running with Monika Wysoczańska Michaël Ramamonjisoa Andrei Bursuc. Come by if you want to talk about open-vocabulary semantic segmentation at low cost!

🚀 We present FoundPose at #ECCV2024 in Milan! 🇮🇹 📌 FoundPose is a model-based method for 6D pose estimation of unseen objects from a single image, without any task/object-specific training! 📅 Thu, 10:30 AM – 12:30 p.m., poster #280 🌐 Project Page: evinpinar.github.io/foundpose/

📽️ Recording of the 9th Workshop on Recovering 6D Object Pose (R6D): youtube.com/watch?v=C45a6v… The workshop was held at ECCV 2024 and featured four invited talks (Xiaowei Zhou, Benjamin Busam, Stan Birchfield, Jakob Engel) and a presentation of the BOP Challenge 2024.

A model that generates hand-object interactions based on text prompts! I'm happy to share our @SIGGRAPHAsiapaper “DiffH2O: Diffusion-Based Synthesis of Hand-Object Interactions from Textual Descriptions”. diffh2o.github.io

#Meta introduces HOT3D, an open-source #Dataset featuring 3D egocentric videos for advanced computer vision. This resource enhances robot manipulation and human-machine interface research. Available on Project Aria. arXiv.org doi.org/g8xnbc techxplore.com/news/2025-01-m…

Happy to announce a new bin-picking challenge with $60,000 in prizes! Organized by OpenCV, Intrinsic, BOP, Orbbec, and University of Hawaii at Manoa.

Huge thanks!! I'm glad to have been a part of your wonderful work, Assembly101! I really appreciate your help: Kun, fame, Tomáš Hodaň, Luan, Cem, and my advisor Yoichi! #EgoVis