Search Results for author:
Found 11 papers, 5 papers with code
Neural Volumetric Object Selection
We introduce an approach for selecting objects in neural volumetric 3D representations, such as multi-plane images (MPI) and neural radiance fields (NeRF).
Deep Homography Estimation for Dynamic Scenes
We then develop a multi-scale neural network and show that when properly trained using our new dataset, this neural network can already handle dynamic scenes to some extent.
A Compact Embedding for Facial Expression Similarity
Most of the existing work on automatic facial expression analysis focuses on discrete emotion recognition, or facial action unit detection.
Video Frame Synthesis using Deep Voxel Flow
We combine the advantages of these two methods by training a deep network that learns to synthesize video frames by flowing pixel values from existing ones, which we call deep voxel flow.
Ranked #2 on
Video Prediction
on DAVIS 2017
Semantic Facial Expression Editing using Autoencoded Flow
High-level manipulation of facial expressions in images --- such as changing a smile to a neutral expression --- is challenging because facial expression changes are highly non-linear, and vary depending on the appearance of the face.
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
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.
Exploratory Font Selection Using Crowdsourced Attributes
These tools are complementary; a user may search for "graceful" fonts, select a reasonable one, and then refine the results from a list of fonts similar to the selection.
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
Recognizing Image Style
The style of an image plays a significant role in how it is viewed, but style has received little attention in computer vision research.
