Search Results for author: Ariel Shamir

Found 18 papers, 5 papers with code

How Low Can We Go? Pixel Annotation for Semantic Segmentation

no code implementations25 Jan 2022 Daniel Kigli, Ariel Shamir, Shai Avidan

Based on this single-image-annotation experiment, we design an experiment to quickly annotate an entire data set.

Active Learning Semantic Segmentation

CAST: Character labeling in Animation using Self-supervision by Tracking

1 code implementation19 Jan 2022 Oron Nir, Gal Rapoport, Ariel Shamir

Using this space we can build dictionaries of characters in an animation videos, and define specialized classifiers for specific stylistic content (e. g., characters in a specific animation series) with very little user effort.

Multi-Object Tracking

Learned Queries for Efficient Local Attention

1 code implementation21 Dec 2021 Moab Arar, Ariel Shamir, Amit H. Bermano

Vision Transformers (ViT) serve as powerful vision models.

Rhythm is a Dancer: Music-Driven Motion Synthesis with Global Structure

no code implementations23 Nov 2021 Andreas Aristidou, Anastasios Yiannakidis, Kfir Aberman, Daniel Cohen-Or, Ariel Shamir, Yiorgos Chrysanthou

In this work, we present a music-driven motion synthesis framework that generates long-term sequences of human motions which are synchronized with the input beats, and jointly form a global structure that respects a specific dance genre.

motion synthesis

Towards Coherent Visual Storytelling with Ordered Image Attention

no code implementations4 Aug 2021 Tom Braude, Idan Schwartz, Alexander Schwing, Ariel Shamir

OIA models interactions between the sentence-corresponding image and important regions in other images of the sequence.

Visual Storytelling

InAugment: Improving Classifiers via Internal Augmentation

1 code implementation8 Apr 2021 Moab Arar, Ariel Shamir, Amit Bermano

Image augmentation techniques apply transformation functions such as rotation, shearing, or color distortion on an input image.

Image Augmentation

Neural Alignment for Face De-pixelization

no code implementations29 Sep 2020 Maayan Shuvi, Noa Fish, Kfir Aberman, Ariel Shamir, Daniel Cohen-Or

Although simple, our framework synthesizes high-quality face reconstructions, demonstrating that given the statistical prior of a human face, multiple aligned pixelated frames contain sufficient information to reconstruct a high-quality approximation of the original signal.

NPRportrait 1.0: A Three-Level Benchmark for Non-Photorealistic Rendering of Portraits

no code implementations1 Sep 2020 Paul L. Rosin, Yu-Kun Lai, David Mould, Ran Yi, Itamar Berger, Lars Doyle, Seungyong Lee, Chuan Li, Yong-Jin Liu, Amir Semmo, Ariel Shamir, Minjung Son, Holger Winnemoller

Despite the recent upsurge of activity in image-based non-photorealistic rendering (NPR), and in particular portrait image stylisation, due to the advent of neural style transfer, the state of performance evaluation in this field is limited, especially compared to the norms in the computer vision and machine learning communities.

Style Transfer

Focus-and-Expand: Training Guidance Through Gradual Manipulation of Input Features

no code implementations15 Jul 2020 Moab Arar, Noa Fish, Dani Daniel, Evgeny Tenetov, Ariel Shamir, Amit Bermano

Drawing inspiration from Parameter Continuation methods, we propose steering the training process to consider specific features in the input more than others, through gradual shifts in the input domain.

Image Classification

Predictive and Generative Neural Networks for Object Functionality

1 code implementation28 Jun 2020 Ruizhen Hu, Zihao Yan, Jingwen Zhang, Oliver van Kaick, Ariel Shamir, Hao Zhang, Hui Huang

Given a 3D object in isolation, our functional similarity network (fSIM-NET), a variation of the triplet network, is trained to predict the functionality of the object by inferring functionality-revealing interaction contexts.

Lean Images for Geo-Localization

no code implementations25 Sep 2019 Moti Kadosh, Yael Moses, Ariel Shamir

In this paper we consider the geo-localization task - finding the pose of a camera in a large 3D scene from a single lean image, i. e. an image with no texture.

On the Role of Geometry in Geo-Localization

no code implementations26 Jun 2019 Moti Kadosh, Yael Moses, Ariel Shamir

We find that the network is capable of estimating the camera pose from the lean images, and it does so not by memorization but by some measure of geometric learning of the geographical area.

Image Resizing by Reconstruction from Deep Features

no code implementations17 Apr 2019 Moab Arar, Dov Danon, Daniel Cohen-Or, Ariel Shamir

In this paper we perform image resizing in feature space where the deep layers of a neural network contain rich important semantic information.

Deep Portrait Image Completion and Extrapolation

no code implementations23 Aug 2018 Xian Wu, Rui-Long Li, Fang-Lue Zhang, Jian-Cheng Liu, Jue Wang, Ariel Shamir, Shi-Min Hu

We evaluate our method on public portrait image datasets, and show that it outperforms other state-of-art general image completion methods.

Graphics

GRAINS: Generative Recursive Autoencoders for INdoor Scenes

no code implementations24 Jul 2018 Manyi Li, Akshay Gadi Patil, Kai Xu, Siddhartha Chaudhuri, Owais Khan, Ariel Shamir, Changhe Tu, Baoquan Chen, Daniel Cohen-Or, Hao Zhang

We present a generative neural network which enables us to generate plausible 3D indoor scenes in large quantities and varieties, easily and highly efficiently.

Graphics

Deep Online Video Stabilization

3 code implementations22 Feb 2018 Miao Wang, Guo-Ye Yang, Jin-Kun Lin, Ariel Shamir, Song-Hai Zhang, Shao-Ping Lu, Shi-Min Hu

In this paper, we solve the video stabilization problem using a convolutional neural network (ConvNet).

Graphics

Sketch2Photo: Internet Image Montage

no code implementations ACM Transactions on Graphics 2009 Tao Chen, Ming-Ming Cheng, Ping Tan, Ariel Shamir, Shi-Min Hu

The composed picture is generated by seamlessly stitching several photographs in agreement with the sketch and text labels; these are found by searching the Internet.

Image Retrieval

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