Georgia Institute of Technology

∙ Atlanta , United States ∙ 0 followers

The Georgia Institute of Technology, commonly referred to as Georgia Tech, is a public research university and institute of technology in Atlanta, Georgia.

Featured Researchers

Yu Zhang
177 publications
Wei Zhang
170 publications
Rui Zhang
163 publications
Yi Yang
145 publications
Jianfeng Gao
131 publications
Yue Zhang
97 publications
Devi Parikh
94 publications
Dhruv Batra
92 publications
Yan Wang
89 publications
Chao Zhang
84 publications
Lei Wang
83 publications

REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild

In recent years, significant attention has been devoted towards integrat...
01/29/2020 ∙ by Rahul Duggal, et al. ∙ 116 ∙ share

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Predicting A Creator's Preferences In, and From, Interactive Generative Art

As a lay user creates an art piece using an interactive generative art t...
03/03/2020 ∙ by Devi Parikh, et al. ∙ 92 ∙ share

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Feel The Music: Automatically Generating A Dance For An Input Song

We present a general computational approach that enables a machine to ge...
06/21/2020 ∙ by Purva Tendulkar, et al. ∙ 77 ∙ share

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Deep Reinforcement Learning with Smooth Policy

Deep neural networks have been widely adopted in modern reinforcement le...
03/21/2020 ∙ by Qianli Shen, et al. ∙ 54 ∙ share

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Audio-Visual Scene-Aware Dialog

We introduce the task of scene-aware dialog. Given a follow-up question ...
01/25/2019 ∙ by Huda Alamri, et al. ∙ 48 ∙ share

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nocaps: novel object captioning at scale

Image captioning models have achieved impressive results on datasets con...
12/20/2018 ∙ by Harsh Agrawal, et al. ∙ 46 ∙ share

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Statistical Guarantees of Generative Adversarial Networks for Distribution Estimation

Generative Adversarial Networks (GANs) have achieved great success in un...
02/10/2020 ∙ by Minshuo Chen, et al. ∙ 45 ∙ share

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SQuINTing at VQA Models: Interrogating VQA Models with Sub-Questions

Existing VQA datasets contain questions with varying levels of complexit...
01/20/2020 ∙ by Ramprasaath R. Selvaraju, et al. ∙ 44 ∙ share

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A Bayesian Framework for Nash Equilibrium Inference in Human-Robot Parallel Play

We consider shared workspace scenarios with humans and robots acting to ...
06/10/2020 ∙ by Shray Bansal, et al. ∙ 44 ∙ share

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The role of visual saliency in the automation of seismic interpretation

In this paper, we propose a workflow based on SalSi for the detection an...
12/31/2018 ∙ by Muhammad Amir Shafiq, et al. ∙ 40 ∙ share

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Continuous Online Learning and New Insights to Online Imitation Learning

Online learning is a powerful tool for analyzing iterative algorithms. H...
12/03/2019 ∙ by Jonathan Lee, et al. ∙ 33 ∙ share

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Massif: Interactive Interpretation of Adversarial Attacks on Deep Learning

Deep neural networks (DNNs) are increasingly powering high-stakes applic...
01/21/2020 ∙ by Nilaksh Das, et al. ∙ 33 ∙ share

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CNN 101: Interactive Visual Learning for Convolutional Neural Networks

The success of deep learning solving previously-thought hard problems ha...
01/07/2020 ∙ by Zijie J. Wang, et al. ∙ 27 ∙ share

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Learning to Walk in the Real World with Minimal Human Effort

Reliable and stable locomotion has been one of the most fundamental chal...
02/20/2020 ∙ by Sehoon Ha, et al. ∙ 27 ∙ share

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Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded

Many vision and language models suffer from poor visual grounding - ofte...
02/11/2019 ∙ by Ramprasaath R. Selvaraju, et al. ∙ 26 ∙ share

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Perceptual Attention-based Predictive Control

In this paper, we present a novel information processing architecture fo...
04/26/2019 ∙ by Keuntaek Lee, et al. ∙ 26 ∙ share

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Automatically Neutralizing Subjective Bias in Text

Texts like news, encyclopedias, and some social media strive for objecti...
11/21/2019 ∙ by Reid Pryzant, et al. ∙ 26 ∙ share

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EvalAI: Towards Better Evaluation Systems for AI Agents

We introduce EvalAI, an open source platform for evaluating and comparin...
02/10/2019 ∙ by Deshraj Yadav, et al. ∙ 24 ∙ share

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GOGGLES: Automatic Training Data Generation with Affinity Coding

Generating large labeled training data is becoming the biggest bottlenec...
03/11/2019 ∙ by Nilaksh Das, et al. ∙ 24 ∙ share

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Probabilistic Kernel Support Vector Machines

We propose a probabilistic enhancement of standard kernel Support Vecto...
04/14/2019 ∙ by Yongxin Chen, et al. ∙ 24 ∙ share

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Good Feature Matching: Towards Accurate, Robust VO/VSLAM with Low Latency

Analysis of state-of-the-art VO/VSLAM system exposes a gap in balancing ...
01/03/2020 ∙ by Yipu Zhao, et al. ∙ 24 ∙ share

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Trick or TReAT: Thematic Reinforcement for Artistic Typography

An approach to make text visually appealing and memorable is semantic re...
03/19/2019 ∙ by Purva Tendulkar, et al. ∙ 23 ∙ share

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TarMAC: Targeted Multi-Agent Communication

We explore a collaborative multi-agent reinforcement learning setting wh...
10/26/2018 ∙ by Abhishek Das, et al. ∙ 22 ∙ share

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Synthesizing New Retinal Symptom Images by Multiple Generative Models

Age-Related Macular Degeneration (AMD) is an asymptomatic retinal diseas...
02/11/2019 ∙ by Yi-Chieh Liu, et al. ∙ 22 ∙ share

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Meta Learning with Relational Information for Short Sequences

This paper proposes a new meta-learning method -- named HARMLESS (HAwkes...
09/04/2019 ∙ by Yujia Xie, et al. ∙ 22 ∙ share

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Implicit Saliency in Deep Neural Networks

In this paper, we show that existing recognition and localization deep a...
08/04/2020 ∙ by Yutong Sun, et al. ∙ 22 ∙ share

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Learning Robust Representations with Graph Denoising Policy Network

Graph representation learning, aiming to learn low-dimensional represent...
10/04/2019 ∙ by Lu Wang, et al. ∙ 21 ∙ share

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Pose estimation and bin picking for deformable products

Robotic systems in manufacturing applications commonly assume known obje...
11/12/2019 ∙ by Benjamin Joffe, et al. ∙ 21 ∙ share

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Lemotif: Abstract Visual Depictions of your Emotional States in Life

We present Lemotif. Lemotif generates a motif for your emotional life. Y...
03/18/2019 ∙ by Devi Parikh, et al. ∙ 20 ∙ share

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Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data

Deep neural networks have attained remarkable performance when applied t...
02/26/2020 ∙ by Yen-Chang Hsu, et al. ∙ 20 ∙ share

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Evolving Neural Networks through a Reverse Encoding Tree

NeuroEvolution is one of the most competitive evolutionary learning fram...
02/03/2020 ∙ by Haoling Zhang, et al. ∙ 19 ∙ share

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CLEVR-Dialog: A Diagnostic Dataset for Multi-Round Reasoning in Visual Dialog

Visual Dialog is a multimodal task of answering a sequence of questions ...
03/07/2019 ∙ by Satwik Kottur, et al. ∙ 18 ∙ share

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Unsupervised Discovery of Decision States for Transfer in Reinforcement Learning

We present a hierarchical reinforcement learning (HRL) or options framew...
07/24/2019 ∙ by Nirbhay Modhe, et al. ∙ 17 ∙ share

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Detecting Robotic Affordances on Novel Objects with Regional Attention and Attributes

This paper presents a framework for predicting affordances of object par...
09/12/2019 ∙ by Fu-Jen Chu, et al. ∙ 17 ∙ share

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Backpropagated Gradient Representations for Anomaly Detection

Learning representations that clearly distinguish between normal and abn...
07/18/2020 ∙ by Gukyeong Kwon, et al. ∙ 17 ∙ share

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Choose Your Neuron: Incorporating Domain Knowledge through Neuron-Importance

Individual neurons in convolutional neural networks supervised for image...
08/08/2018 ∙ by Ramprasaath R. Selvaraju, et al. ∙ 16 ∙ share

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Fast 3D Pose Refinement with RGB Images

Pose estimation is a vital step in many robotics and perception tasks su...
11/17/2019 ∙ by Abhinav Jain, et al. ∙ 16 ∙ share

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Large-scale Pretraining for Visual Dialog: A Simple State-of-the-Art Baseline

Prior work in visual dialog has focused on training deep neural models o...
12/05/2019 ∙ by Vishvak Murahari, et al. ∙ 16 ∙ share

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Learning Structured Communication for Multi-agent Reinforcement Learning

This work explores the large-scale multi-agent communication mechanism u...
02/11/2020 ∙ by Junjie Sheng, et al. ∙ 16 ∙ share

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Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks

Wasserstein Barycenter is a principled approach to represent the weighte...
07/08/2020 ∙ by Jiaojiao Fan, et al. ∙ 16 ∙ share

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Cycle-Consistency for Robust Visual Question Answering

Despite significant progress in Visual Question Answering over the years...
02/15/2019 ∙ by Meet Shah, et al. ∙ 14 ∙ share

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Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral Characteristics

Traffic signs are critical for maintaining the safety and efficiency of ...
08/29/2019 ∙ by Dogancan Temel, et al. ∙ 14 ∙ 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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Do Explanations make VQA Models more Predictable to a Human?

A rich line of research attempts to make deep neural networks more trans...
10/29/2018 ∙ by Arjun Chandrasekaran, et al. ∙ 13 ∙ share

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PhICNet: Physics-Incorporated Convolutional Recurrent Neural Networks for Modeling Dynamical Systems

Dynamical systems involving partial differential equations (PDEs) and or...
04/14/2020 ∙ by Priyabrata Saha, et al. ∙ 13 ∙ share

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Response to "Visual Dialogue without Vision or Dialogue" (Massiceti et al., 2018)

In a recent workshop paper, Massiceti et al. presented a baseline model ...
01/16/2019 ∙ by Abhishek Das, et al. ∙ 12 ∙ 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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Embodied Question Answering in Photorealistic Environments with Point Cloud Perception

To help bridge the gap between internet vision-style problems and the go...
04/06/2019 ∙ by Erik Wijmans, et al. ∙ 12 ∙ share

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Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning

Diverse and accurate vision+language modeling is an important goal to re...
08/22/2019 ∙ by Jyoti Aneja, et al. ∙ 12 ∙ share

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Improving Robustness of ReRAM-based Spiking Neural Network Accelerator with Stochastic Spike-timing-dependent-plasticity

Spike-timing-dependent-plasticity (STDP) is an unsupervised learning alg...
09/11/2019 ∙ by Xueyuan She, et al. ∙ 12 ∙ share

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