@AdamWHarley

Research Scientist at Meta. I did a postdoc at Stanford and PhD at CMU. I work on computer vision and machine learning.

 Redmond, WA
adamharley.com
Joined August 2020
  • Tweets284
  • Following129
  • Followers2.5K
95Media
Introducing VOTSp2026 — a new point tracking challenge! 50 hand-picked videos including animals, robots, cells, egocentric capture, and more, with clean annotations and standardized evaluation. Submit your tracker and compete: votchallenge.net/vots2026/
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Ayush Jain
@ayushjain1144Oct 20
We released the code and model weights here: github.com/ayushjain1144/tra…. Have fun! 🙂
Ayush Jain
@ayushjain1144Sep 25
1/ We introduce TrackEverything: a 3D point tracker that tracks all points across all frames of long videos (1000+ frames). Our key idea is to tie computation to unique 3D scene content rather than redundant 2D pixels in a video. trackeverything.github.io
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Our team is hiring PhD interns now for 2027. Ping me if you are interested and qualified, especially if you work on similar problems as me.
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Project Aria @Meta
@meta_ariaSep 25
Check out TrackEverything from CMU Robotics. 💡 TrackEverything is a Long-term 3D point tracking method (1000+ frames), using depth and camera pose to see the world in a stable coordinate system. TrackEverything is especially effective for egocentric capture setups like Project Aria glasses. Amazing work by @ayushjain1144 while interning with @AdamWHarley at Meta. 🚀
Ayush Jain
@ayushjain1144Sep 25
1/ We introduce TrackEverything: a 3D point tracker that tracks all points across all frames of long videos (1000+ frames). Our key idea is to tie computation to unique 3D scene content rather than redundant 2D pixels in a video. trackeverything.github.io
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Ayush Jain
@ayushjain1144Sep 25
1/ We introduce TrackEverything: a 3D point tracker that tracks all points across all frames of long videos (1000+ frames). Our key idea is to tie computation to unique 3D scene content rather than redundant 2D pixels in a video. trackeverything.github.io
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Adam W. Harley@AdamWHarleyJun 22
The deadline for participating in the VOTSp2026 point tracking is this Sunday, June 28! Preparing a submission should take a couple hours max (especially with a coding agent involved). Give it a shot! The results of the challenge will be presented at ECCV 2026.
Adam W. Harley@AdamWHarleyJun 19
Introducing VOTSp2026 — a new point tracking challenge! 50 hand-picked videos including animals, robots, cells, egocentric capture, and more, with clean annotations and standardized evaluation. Submit your tracker and compete: votchallenge.net/vots2026/
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The deadline for participating in the VOTSp2026 point tracking is this Sunday, June 28! Preparing a submission should take a couple hours max (especially with a coding agent involved). Give it a shot! The results of the challenge will be presented at ECCV 2026.
Adam W. Harley@AdamWHarleyJun 19
Introducing VOTSp2026 — a new point tracking challenge! 50 hand-picked videos including animals, robots, cells, egocentric capture, and more, with clean annotations and standardized evaluation. Submit your tracker and compete: votchallenge.net/vots2026/
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Very fun: Our paper for Insect Science is one of the journal's most-viewed articles of 2025! Yay for point tracking + vibrational signal analysis (with @JPolajnar)! BTW the underlying point tracker here is basically "PIPs+++" -- a simple method tuned well can do a lot!
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Project Aria @Meta
@meta_ariaMay 14
The Project Aria team is excited to be part of the Third Joint Egocentric Vision (EgoVis) Workshop at #CVPR2026! 👓✨ Don’t miss the latest Project Aria updates as we dive into the future of egocentric perception. Check out the full program of invited speakers below! 📅 June 3, 2026 📍 Colorado Convention Center | Room 704/706 🔗 egovis.github.io/cvpr26/ ⚡️@liuziwei7 , @mapo1 , @doughty_hazel
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Tali Dekel@talidekelMar 30
Dynamic 3D from monocular video 🎥 Static pre-scan + video = richer reconstruction ✨ As image-to-3D improves, static pre-scans become increasingly practical! Kudos to @tnarek99 and team! drops-dynamics.github.io
Narek Tumanyan@tnarek99Mar 27
Excited to present DRoPS! A novel method for dynamic 3D reconstruction from monocular videos, accompanied by a static-prescan of the dynamic object. 🌐 Project: drops-dynamics.github.io 📄 Paper: arxiv.org/abs/2603.24770 🧵 [1/7]
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Narek Tumanyan@tnarek99Mar 27
Excited to present DRoPS! A novel method for dynamic 3D reconstruction from monocular videos, accompanied by a static-prescan of the dynamic object. 🌐 Project: drops-dynamics.github.io 📄 Paper: arxiv.org/abs/2603.24770 🧵 [1/7]
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Xindi Wu@cindy_x_wuJan 20
New #NVIDIA Paper We introduce Motive, a motion-centric, gradient-based data attribution method that traces which training videos help or hurt video generation. By isolating temporal dynamics from static appearance, Motive identifies which training videos shape motion in video generation. 🔗 research.nvidia.com/labs/sil… 1/10
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Yawar Siddiqui@yawarnihalJan 19
Introducing ShapeR, a method for robust conditional 3D shape generation from casually captured sequences. ShapeR leverages a rectified flow transformer conditioned on per-object multimodal data to turn casual image sequences into full metric scene reconstructions. Project Page: facebookresearch.github.io/S… Paper: arxiv.org/abs/2601.11514 Links to code and huggingface below ⬇️
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Dima Damen@dimadamen31 Oct 2025
📢 New Paper PointSt3R: Point Tracking through 3D Grounded Correspondence Can point tracking be re-formulated as pairwise frame correspondence solely? We fine-tuning MASt3R with dynamic correspondences and a visibility loss and achieve competitive point tracking results 1/3
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mattie ✨@mattierialgirl27 Oct 2025
Generative Point Tracking with Flow Matching My latest project with @AdamWHarley @CSProfKGD @DerekRenderling @chrisjpal Project page: mtesfaldet.net/genpt_projpag… Paper: arxiv.org/abs/2510.20951 Code: github.com/tesfaldet/genpt
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Kosta Derpanis
@CSProfKGD24 Oct 2025
Happy 80th birthday to the legend Takeo Kanade! 🐐 Thanks @katerinafrag for sharing!
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Yup! But I wouldn't say "single shot" -- AllTracker, inheriting from CoTracker and PIPs and RAFT, is an iterative approach. In practice, we iterate 4x to get the final answer (and this sums to 11 FPS at 576x1024).
Wildminder
@wildmindai9 Jul 2025
AllTracker. Hi-res, dense point tracking across long video ranges in a single shot. Tracks every pixel. Fast, lightweight (16M params). Sparse tracking is obsolete. alltracker.github.io/
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The visualizer in the AllTracker repo is now GPU-based (much faster), with new options to improve clarity. Very satisfying to see 3D shape "pop out" from the tracking. github.com/aharley/alltracke…
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Alternate sampling rates.
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We made a @gradio demo for AllTracker! AllTracker is the current state-of-the-art for general-purpose point tracking. The demo gives a good sense of the accuracy---try your own videos and see for yourself! 🔗 Demo: huggingface.co/spaces/aharle… 💻 Code: github.com/aharley/alltracke…
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