*NEW* Our #ECCV2026 @eccv.bsky.social paper Towards in-the-wild Egocentric 3D Hand-Object Pose Estimation Now on ArXiv w Dataset, Code&model sid2697.github.io/epic-contact/ arxiv.org/abs/2606.30598 Two contributions: 1. EPIC-Contact Dataset 2. HOPformer Method &Checkpoint 🧵 1/6
Towards in-the-wild Egocentric 3D Hand-Object Pose Estimation arxiv.org
AI Weekly's analysis
→
- EPIC-Contact provides 2.3K clips and 62.3K frames of in-the-wild egocentric footage with dense, bijective 3D hand-object contact correspondences and posed meshes.
- HOPformer is an end-to-end transformer that jointly predicts bi-manual hand and object pose in a single forward pass using a cross-attention decoder.
- The model reaches 82.4% success rate on ARCTIC, 6.2 points above prior state of the art, and nearly doubles success rate on EPIC-Contact while cutting contact deviation by 75%.
Read full analysis →
View on Bluesky ·
♥ 11
↻ 5
↩ 2
·
2 from the directory shared this ·
29d ago
Whareformer @eccv.bsky.social #ECCV2026 fantastic collab bw @compscibristol.bsky.social @naverlabseurope.bsky.social by Jacob Chalk w/ @sinhasaptarshi.bsky.social @skamalas.bsky.social & @dlarlus.bsky.social Paper, Code &models public: jacobchalk.github.io/Whareformer/ arxiv.o…
Whareformer: Learning to Track What is Where in Long Egocentric Videos arxiv.org
Explore the dataset now at: sid2697.github.io/epic-contact... As we always do: Dataset, Code & models are public already along w ArXiv and full details to reproduce in code and supplementary EPIC-Cotact Dataset: huggingface.co/datasets/Sid... HOPformer Code: github.com/Sid2697…
Sid2697/epic-contact · Datasets at Hugging Face huggingface.co
Thanks @elliot-eu.bsky.social for the short interview on why egocentric vision is the right place to start your exploration into understanding human actions youtu.be/DfbxlgWpKSQ
Why first-person AI matters, by Dima Damen youtu.be
NEW Whareformer: Learning to Track What is Where in Long Egocentric Videos @eccvconf #ECCV2026 paper The first online learning approach to track dynamic objects in ego video reasoning on appearance &3D location w track memory & explicit new track token. jacobchalk.github.io/Wh…
Whareformer: Learning to Track What is Where in Long Egocentric Videos jacobchalk.github.io
Whareformer is only trained on 50 videos from EPIC-KITCHENS and evaluated thoroughly on 100+ long videos from EPIC-KITCHENS, HD-EPIC and IT3Ego consistently outperforming alternatives. Watch quali: youtu.be/tfJ1yhIE8cE 5/N
Whareformer: Learning to Track What is Where in Long Egocentric Videos - Qualitative Examples youtube.com
