James Hays

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Georgia Institute of Technology

Associate Professor at Georgia Institute of Technology

PVA: Pixel-aligned Volumetric Avatars

Acquisition and rendering of photo-realistic human heads is a highly cha...
01/07/2021 ∙ by Amit Raj, et al. ∙ 10 ∙ share

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ANR: Articulated Neural Rendering for Virtual Avatars

The combination of traditional rendering with neural networks in Deferre...
12/23/2020 ∙ by Amit Raj, et al. ∙ 7 ∙ share

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Scene Flow from Point Clouds with or without Learning

Scene flow is the three-dimensional (3D) motion field of a scene. It pro...
10/31/2020 ∙ by Jhony Kaesemodel Pontes, et al. ∙ 21 ∙ share

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3D for Free: Crossmodal Transfer Learning using HD Maps

3D object detection is a core perceptual challenge for robotics and auto...
08/24/2020 ∙ by Benjamin Wilson, et al. ∙ 0 ∙ share

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TIDE: A General Toolbox for Identifying Object Detection Errors

We introduce TIDE, a framework and associated toolbox for analyzing the ...
08/18/2020 ∙ by Daniel Bolya, et al. ∙ 17 ∙ share

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ContactPose: A Dataset of Grasps with Object Contact and Hand Pose

Grasping is natural for humans. However, it involves complex hand config...
07/19/2020 ∙ by Samarth Brahmbhatt, et al. ∙ 14 ∙ share

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Argoverse: 3D Tracking and Forecasting with Rich Maps

We present Argoverse – two datasets designed to support autonomous vehic...
11/06/2019 ∙ by Ming-Fang Chang, et al. ∙ 22 ∙ share

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Towards Markerless Grasp Capture

Humans excel at grasping objects and manipulating them. Capturing human ...
07/17/2019 ∙ by Samarth Brahmbhatt, et al. ∙ 0 ∙ share

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Kernel Mean Matching for Content Addressability of GANs

We propose a novel procedure which adds "content-addressability" to any ...
05/14/2019 ∙ by Wittawat Jitkrittum, et al. ∙ 7 ∙ share

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ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging

Grasping and manipulating objects is an important human skill. Since han...
04/15/2019 ∙ by Samarth Brahmbhatt, et al. ∙ 0 ∙ share

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ContactGrasp: Functional Multi-finger Grasp Synthesis from Contact

Grasping and manipulating objects is an important human skill. Since mos...
04/07/2019 ∙ by Samarth Brahmbhatt, et al. ∙ 0 ∙ share

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Let's Transfer Transformations of Shared Semantic Representations

With a good image understanding capability, can we manipulate the images...
03/02/2019 ∙ by Nam Vo, et al. ∙ 12 ∙ share

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Composing Text and Image for Image Retrieval - An Empirical Odyssey

In this paper, we study the task of image retrieval, where the input que...
12/18/2018 ∙ by Nam Vo, et al. ∙ 20 ∙ share

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Informative Features for Model Comparison

Given two candidate models, and a set of target observations, we address...
10/27/2018 ∙ by Wittawat Jitkrittum, et al. ∙ 0 ∙ share

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Generalization in Metric Learning: Should the Embedding Layer be the Embedding Layer?

Many recent works advancing deep learning tend to focus on large scale s...
03/08/2018 ∙ by Nam Vo, et al. ∙ 0 ∙ share

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Let's Dance: Learning From Online Dance Videos

In recent years, deep neural network approaches have naturally extended ...
01/23/2018 ∙ by Daniel Castro, et al. ∙ 0 ∙ share

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SketchyGAN: Towards Diverse and Realistic Sketch to Image Synthesis

Synthesizing realistic images from human drawn sketches is a challenging...
01/09/2018 ∙ by Wengling Chen, et al. ∙ 0 ∙ share

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MapNet: Geometry-Aware Learning of Maps for Camera Localization

Maps are a key component in image-based camera localization and visual S...
12/09/2017 ∙ by Samarth Brahmbhatt, et al. ∙ 0 ∙ share

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TextureGAN: Controlling Deep Image Synthesis with Texture Patches

In this paper, we investigate deep image synthesis guided by sketch, col...
06/09/2017 ∙ by Wenqi Xian, et al. ∙ 0 ∙ share

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On Convergence and Stability of GANs

We propose studying GAN training dynamics as regret minimization, which ...
05/19/2017 ∙ by Naveen Kodali, et al. ∙ 0 ∙ share

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Revisiting IM2GPS in the Deep Learning Era

Image geolocalization, inferring the geographic location of an image, is...
05/13/2017 ∙ by Nam Vo, et al. ∙ 0 ∙ share

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DeepNav: Learning to Navigate Large Cities

We present DeepNav, a Convolutional Neural Network (CNN) based algorithm...
01/31/2017 ∙ by Samarth Brahmbhatt, et al. ∙ 0 ∙ share

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Super-resolution Using Constrained Deep Texture Synthesis

Hallucinating high frequency image details in single image super-resolut...
01/26/2017 ∙ by Libin Sun, et al. ∙ 0 ∙ share

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Complex Event Recognition from Images with Few Training Examples

We propose to leverage concept-level representations for complex event r...
01/17/2017 ∙ by Unaiza Ahsan, et al. ∙ 0 ∙ share

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Scribbler: Controlling Deep Image Synthesis with Sketch and Color

Recently, there have been several promising methods to generate realisti...
12/02/2016 ∙ by Patsorn Sangkloy, et al. ∙ 0 ∙ share

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StuffNet: Using 'Stuff' to Improve Object Detection

We propose a Convolutional Neural Network (CNN) based algorithm - StuffN...
10/19/2016 ∙ by Samarth Brahmbhatt, et al. ∙ 0 ∙ share

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Localizing and Orienting Street Views Using Overhead Imagery

In this paper we aim to determine the location and orientation of a grou...
07/30/2016 ∙ by Nam Vo, et al. ∙ 0 ∙ share

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Lens Factory: Automatic Lens Generation Using Off-the-shelf Components

Custom optics is a necessity for many imaging applications. Unfortunatel...
06/30/2015 ∙ by Libin Sun, et al. ∙ 0 ∙ share

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Microsoft COCO: Common Objects in Context

We present a new dataset with the goal of advancing the state-of-the-art...
05/01/2014 ∙ by Tsung-Yi Lin, et al. ∙ 0 ∙ share

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James Hays

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