Search Results for author:
Found 22 papers, 5 papers with code
StreamHover: Livestream Transcript Summarization and Annotation
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.
AESOP: Abstract Encoding of Stories, Objects, and Pictures
Visual storytelling and story comprehension are uniquely human skills that play a central role in how we learn about and experience the world.
Training a Constrained Natural Media Painting Agent using Reinforcement Learning
We present a novel approach to train a natural media painting using reinforcement learning.
LPaintB: Learning to Paint from Self-Supervision
We present a novel reinforcement learning-based natural media painting algorithm.
PaintBot: A Reinforcement Learning Approach for Natural Media Painting
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.
Hotels-50K: A Global Hotel Recognition Dataset
Recognizing a hotel from an image of a hotel room is important for human trafficking investigations.
Learning to Sketch with Deep Q Networks and Demonstrated Strokes
Doodling is a useful and common intelligent skill that people can learn and master.
Spatial-Semantic Image Search by Visual Feature Synthesis
We train a convolutional neural network to synthesize appropriate visual features that captures the spatial-semantic constraints from the user canvas query.
Top-down Neural Attention by Excitation Backprop
We aim to model the top-down attention of a Convolutional Neural Network (CNN) classifier for generating task-specific attention maps.
Shortlist Selection With Residual-Aware Distance Estimator for K-Nearest Neighbor Search
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.
A Multi-Level Contextual Model For Person Recognition in Photo Albums
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.
DeepFont: Identify Your Font from An Image
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.
Ranked #1 on
Font Recognition
on VFR-Wild
A Convolutional Neural Network Cascade for Face Detection
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.
Real-World Font Recognition Using Deep Network and Domain Adaptation
We address a challenging fine-grain classification problem: recognizing a font style from an image of text.
Decomposition-Based Domain Adaptation for Real-World Font Recognition
We present a domain adaption framework to address a domain mismatch between synthetic training and real-world testing data.
Large-Scale Visual Font Recognition
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.
Ranked #1 on
Font Recognition
on VFR-447
Nonparametric Context Modeling of Local Appearance for Pose- and Expression-Robust Facial Landmark Localization
We propose a data-driven approach to facial landmark localization that models the correlations between each landmark and its surrounding appearance features.
Efficient Boosted Exemplar-based Face Detection
Despite the fact that face detection has been studied intensively over the past several decades, the problem is still not completely solved.
Scalable Similarity Learning using Large Margin Neighborhood Embedding
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.
Exemplar-Based Face Parsing
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.
Detecting and Aligning Faces by Image Retrieval
In order to overcome these challenges, we present a novel and robust exemplarbased face detector that integrates image retrieval and discriminative learning.
Probabilistic Elastic Matching for Pose Variant Face Verification
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.
