Dear all,
You are invited to attend the next talk in the CV-DL Seminar Series.
Narek Tumanyan
WIS
Sunday, June 21, 2026
11:15-12:30
Room 508, Amir Building
Title:
Harnessing Foundation Model and Architectural Priors for Point Tracking and 4D Reconstruction from Monocular Videos
Abstract:
Foundation models have rapidly become a central substrate for visual understanding and generation. They encode rich semantic and geometric priors that can be harnessed for a wide range of vision problems. This work studies how such priors can be combined with
architectural inductive biases of deep neural networks to obtain optimization-based, lightweight yet powerful methods for two challenging tasks: (i) long-range video point tracking and, (ii) dynamic 3D reconstruction from monocular video.
The first part focuses on DINO-Tracker, a dense long-range point tracking method that leverages self-supervised DINO-ViT features as a semantic prior. To adapt these features for precise tracking, DINO-Tracker combines test-time optimization with a CNN-based
feature refinement model, producing localized and temporally consistent features that support robust tracking across long occlusions. The second part introduces DRoPS, a method for dynamic 3D reconstruction from monocular video. DRoPS combines the power of
pre-trained tracking and depth models with a novel Deep Motion Prior -- a CNN-based parameterization of the motion field, achieving state-of-the-art results in monocular dynamic 3D reconstruction.
Bio:
I am a final-year PhD student (direct-track) at the Weizmann Institute of Science, advised by Prof. Tali Dekel, where I also completed my MSc. Previously, I was a Research Scientist Intern at Meta Reality Labs, advised by Jonathon Luiten. My research interests
are in generative AI, 3D/4D reconstruction and tracking, and interpretability of vision foundation models for unveiling novel applications.
We look forward to seeing you there.