Search Results for author: Aseem Agarwala

Found 11 papers, 5 papers with code

Neural Volumetric Object Selection

no code implementations CVPR 2022 Zhongzheng Ren, Aseem Agarwala, Bryan Russell, Alexander G. Schwing, Oliver Wang

We introduce an approach for selecting objects in neural volumetric 3D representations, such as multi-plane images (MPI) and neural radiance fields (NeRF).

Object Segmentation

Deep Homography Estimation for Dynamic Scenes

1 code implementation CVPR 2020 Hoang Le, Feng Liu, Shu Zhang, Aseem Agarwala

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.

Homography Estimation Multi-Task Learning

A Compact Embedding for Facial Expression Similarity

2 code implementations CVPR 2019 Raviteja Vemulapalli, Aseem Agarwala

Most of the existing work on automatic facial expression analysis focuses on discrete emotion recognition, or facial action unit detection.

Action Unit Detection Emotion Recognition +2

Video Frame Synthesis using Deep Voxel Flow

3 code implementations ICCV 2017 Ziwei Liu, Raymond A. Yeh, Xiaoou Tang, Yiming Liu, Aseem Agarwala

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.

Optical Flow Estimation Video Prediction

Semantic Facial Expression Editing using Autoencoded Flow

no code implementations30 Nov 2016 Raymond Yeh, Ziwei Liu, Dan B. Goldman, Aseem Agarwala

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.

Test

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

Exploratory Font Selection Using Crowdsourced Attributes

no code implementations ACM Transactions on Graphics 2014 Peter O'Donovan, Jānis Lībeks, Aseem Agarwala, Aaron Hertzmann

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.

Attribute Descriptive

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 +2

Recognizing Image Style

1 code implementation15 Nov 2013 Sergey Karayev, Matthew Trentacoste, Helen Han, Aseem Agarwala, Trevor Darrell, Aaron Hertzmann, Holger Winnemoeller

The style of an image plays a significant role in how it is viewed, but style has received little attention in computer vision research.

Image Retrieval TAG

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