Search Results for author: Hamid Izadinia

Found 7 papers, 0 papers with code

Scene Recomposition by Learning-based ICP

no code implementations CVPR 2020 Hamid Izadinia, Steven M. Seitz

By moving a depth sensor around a room, we compute a 3D CAD model of the environment, capturing the room shape and contents such as chairs, desks, sofas, and tables.

VISER: Visual Self-Regularization

no code implementations7 Feb 2018 Hamid Izadinia, Pierre Garrigues

In this work, we propose the use of large set of unlabeled images as a source of regularization data for learning robust visual representation.

Tag Prediction at Flickr: a View from the Darkroom

no code implementations6 Dec 2016 Kofi Boakye, Sachin Farfade, Hamid Izadinia, Yannis Kalantidis, Pierre Garrigues

Our results demonstrate that, for real-world datasets, training exclusively with this noisy data yields performance on par with the standard paradigm of first pre-training on clean data and then fine-tuning.


no code implementations CVPR 2017 Hamid Izadinia, Qi Shan, Steven M. Seitz

Given a single photo of a room and a large database of furniture CAD models, our goal is to reconstruct a scene that is as similar as possible to the scene depicted in the photograph, and composed of objects drawn from the database.

Scene Understanding

Segment-Phrase Table for Semantic Segmentation, Visual Entailment and Paraphrasing

no code implementations ICCV 2015 Hamid Izadinia, Fereshteh Sadeghi, Santosh Kumar Divvala, Yejin Choi, Ali Farhadi

Next, we show that the association of high-quality segmentations to textual phrases aids in richer semantic understanding and reasoning of these textual phrases.

Natural Language Understanding Object Recognition +2

Incorporating Scene Context and Object Layout into Appearance Modeling

no code implementations CVPR 2014 Hamid Izadinia, Fereshteh Sadeghi, Ali Farhadi

In this paper, we propose a method to learn scene structures that can encode three main interlacing components of a scene: the scene category, the context-specific appearance of objects, and their layout.

Scene Understanding

Cannot find the paper you are looking for? You can Submit a new open access paper.