Search Results for author: Jonathan Brandt

Found 22 papers, 5 papers with code

StreamHover: Livestream Transcript Summarization and Annotation

1 code implementation EMNLP 2021 Sangwoo Cho, Franck Dernoncourt, Tim Ganter, Trung Bui, Nedim Lipka, Walter Chang, Hailin Jin, Jonathan Brandt, Hassan Foroosh, Fei Liu

With the explosive growth of livestream broadcasting, there is an urgent need for new summarization technology that enables us to create a preview of streamed content and tap into this wealth of knowledge.

Extractive Summarization

AESOP: Abstract Encoding of Stories, Objects, and Pictures

2 code implementations ICCV 2021 Hareesh Ravi, Kushal Kafle, Scott Cohen, Jonathan Brandt, Mubbasir Kapadia

Visual storytelling and story comprehension are uniquely human skills that play a central role in how we learn about and experience the world.

Story Completion Visual Storytelling

PaintBot: A Reinforcement Learning Approach for Natural Media Painting

no code implementations3 Apr 2019 Biao Jia, Chen Fang, Jonathan Brandt, Byungmoon Kim, Dinesh Manocha

Action selection is guided by a given reference image, which the agent attempts to replicate subject to the limitations of the action space and the agent's learned policy.

reinforcement-learning Reinforcement Learning (RL)

Hotels-50K: A Global Hotel Recognition Dataset

1 code implementation26 Jan 2019 Abby Stylianou, Hong Xuan, Maya Shende, Jonathan Brandt, Richard Souvenir, Robert Pless

Recognizing a hotel from an image of a hotel room is important for human trafficking investigations.

Data Augmentation

Spatial-Semantic Image Search by Visual Feature Synthesis

no code implementations CVPR 2017 Long Mai, Hailin Jin, Zhe Lin, Chen Fang, Jonathan Brandt, Feng Liu

We train a convolutional neural network to synthesize appropriate visual features that captures the spatial-semantic constraints from the user canvas query.

Image Retrieval Retrieval

Top-down Neural Attention by Excitation Backprop

3 code implementations1 Aug 2016 Jianming Zhang, Zhe Lin, Jonathan Brandt, Xiaohui Shen, Stan Sclaroff

We aim to model the top-down attention of a Convolutional Neural Network (CNN) classifier for generating task-specific attention maps.

A Multi-Level Contextual Model For Person Recognition in Photo Albums

no code implementations CVPR 2016 Haoxiang Li, Jonathan Brandt, Zhe Lin, Xiaohui Shen, Gang Hua

Our new framework enables efficient use of these complementary multi-level contextual cues to improve overall recognition rates on the photo album person recognition task, as demonstrated through state-of-the-art results on a challenging public dataset.

Person Recognition

Shortlist Selection With Residual-Aware Distance Estimator for K-Nearest Neighbor Search

no code implementations CVPR 2016 Jae-Pil Heo, Zhe Lin, Xiaohui Shen, Jonathan Brandt, Sung-Eui Yoon

We have tested the proposed method with the inverted index and multi-index on a diverse set of benchmarks including up to one billion data points with varying dimensions, and found that our method robustly improves the accuracy of shortlists (up to 127% relatively higher) over the state-of-the-art techniques with a comparable or even faster computational cost.


DeepFont: Identify Your Font from An Image

1 code implementation12 Jul 2015 Zhangyang Wang, Jianchao Yang, Hailin Jin, Eli Shechtman, Aseem Agarwala, Jonathan Brandt, Thomas S. Huang

As font is one of the core design concepts, automatic font identification and similar font suggestion from an image or photo has been on the wish list of many designers.

Domain Adaptation Font Recognition +1

A Convolutional Neural Network Cascade for Face Detection

no code implementations CVPR 2015 Haoxiang Li, Zhe Lin, Xiaohui Shen, Jonathan Brandt, Gang Hua

To improve localization effectiveness, and reduce the number of candidates at later stages, we introduce a CNN-based calibration stage after each of the detection stages in the cascade.

Face Detection

Efficient Boosted Exemplar-based Face Detection

no code implementations CVPR 2014 Haoxiang Li, Zhe Lin, Jonathan Brandt, Xiaohui Shen, Gang Hua

Despite the fact that face detection has been studied intensively over the past several decades, the problem is still not completely solved.

Face Detection

Large-Scale Visual Font Recognition

no code implementations CVPR 2014 Guang Chen, Jianchao Yang, Hailin Jin, Jonathan Brandt, Eli Shechtman, Aseem Agarwala, Tony X. Han

This paper addresses the large-scale visual font recognition (VFR) problem, which aims at automatic identification of the typeface, weight, and slope of the text in an image or photo without any knowledge of content.

Font Recognition Image Categorization +1

Nonparametric Context Modeling of Local Appearance for Pose- and Expression-Robust Facial Landmark Localization

no code implementations CVPR 2014 Brandon M. Smith, Jonathan Brandt, Zhe Lin, Li Zhang

We propose a data-driven approach to facial landmark localization that models the correlations between each landmark and its surrounding appearance features.

Face Alignment

Scalable Similarity Learning using Large Margin Neighborhood Embedding

no code implementations24 Apr 2014 Zhaowen Wang, Jianchao Yang, Zhe Lin, Jonathan Brandt, Shiyu Chang, Thomas Huang

In this paper, we present an image similarity learning method that can scale well in both the number of images and the dimensionality of image descriptors.

Metric Learning

Exemplar-Based Face Parsing

no code implementations CVPR 2013 Brandon M. Smith, Li Zhang, Jonathan Brandt, Zhe Lin, Jianchao Yang

Given a test image, our algorithm first selects a subset of exemplar images from the database, Our algorithm then computes a nonrigid warp for each exemplar image to align it with the test image.

Face Alignment Face Parsing +3

Detecting and Aligning Faces by Image Retrieval

no code implementations CVPR 2013 Xiaohui Shen, Zhe Lin, Jonathan Brandt, Ying Wu

In order to overcome these challenges, we present a novel and robust exemplarbased face detector that integrates image retrieval and discriminative learning.

Attribute Face Alignment +5

Probabilistic Elastic Matching for Pose Variant Face Verification

no code implementations CVPR 2013 Haoxiang Li, Gang Hua, Zhe Lin, Jonathan Brandt, Jianchao Yang

By augmenting each feature with its location, a Gaussian mixture model (GMM) is trained to capture the spatialappearance distribution of all face images in the training corpus.

Face Recognition Face Verification

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