22 citations · 37 across the 6 of their papers we have counts for
6 papers · 1 filter
Unsupervised Semantic Correspondence Using Stable Diffusion
Eric Hedlin, Gopal Sharma, Shweta Mahajan +4
Text-to-image diffusion models are now capable of generating images that are often indistinguishable from real images. To generate such images, these models must understand the sem…
RePose: Learning Deep Kinematic Priors for Fast Human Pose Estimation
Hossam Isack, Christian Haene, Cem Keskin +4
We propose a novel efficient and lightweight model for human pose estimation from a single image. Our model is designed to achieve competitive results at a fraction of the number o…
Efficient optimization for Hierarchically-structured Interacting Segments (HINTS)
Hossam Isack, Olga Veksler, Ipek Oguz +2
We propose an effective optimization algorithm for a general hierarchical segmentation model with geometric interactions between segments. Any given tree can specify a partial orde…
A-expansion for multiple "hedgehog" shapes
Hossam Isack, Yuri Boykov, Olga Veksler
Overlapping colors and cluttered or weak edges are common segmentation problems requiring additional regularization. For example, star-convexity is popular for interactive single o…
Volumetric Bias in Segmentation and Reconstruction: Secrets and Solutions
Yuri Boykov, Hossam Isack, Carl Olsson +1
Many standard optimization methods for segmentation and reconstruction compute ML model estimates for appearance or geometry of segments, e.g. Zhu-Yuille 1996, Torr 1998, Chan-Vese…
Joint optimization of fitting & matching in multi-view reconstruction
Hossam Isack, Yuri Boykov
Many standard approaches for geometric model fitting are based on pre-matched image features. Typically, such pre-matching uses only feature appearances (e.g. SIFT) and a large num…