Ali Farhadi

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University of Washington

Associate Professor at University of Washington

What's Hidden in a Randomly Weighted Neural Network?

Training a neural network is synonymous with learning the values of the ...
11/29/2019 ∙ by Vivek Ramanujan, et al. ∙ 78 ∙ share

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From Recognition to Cognition: Visual Commonsense Reasoning

Visual understanding goes well beyond object recognition. With one glanc...
11/27/2018 ∙ by Rowan Zellers, et al. ∙ 30 ∙ share

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Grounded Situation Recognition

We introduce Grounded Situation Recognition (GSR), a task that requires ...
03/26/2020 ∙ by Sarah Pratt, et al. ∙ 25 ∙ share

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Conditional Driving from Natural Language Instructions

Widespread adoption of self-driving cars will depend not only on their s...
10/16/2019 ∙ by Junha Roh, et al. ∙ 18 ∙ share

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Artificial Agents Learn Flexible Visual Representations by Playing a Hiding Game

The ubiquity of embodied gameplay, observed in a wide variety of animal ...
12/17/2019 ∙ by Luca Weihs, et al. ∙ 17 ∙ share

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ELASTIC: Improving CNNs with Instance Specific Scaling Policies

Scale variation has been a challenge from traditional to modern approach...
12/13/2018 ∙ by Huiyu Wang, et al. ∙ 16 ∙ share

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Butterfly Transform: An Efficient FFT Based Neural Architecture Design

In this paper, we introduce the Butterfly Transform (BFT), a light weigh...
06/05/2019 ∙ by Keivan Alizadeh, et al. ∙ 14 ∙ share

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Visual Commonsense Graphs: Reasoning about the Dynamic Context of a Still Image

Even from a single frame of a still image, people can reason about the d...
04/22/2020 ∙ by Jae Sung Park, et al. ∙ 14 ∙ share

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What Should I Do Now? Marrying Reinforcement Learning and Symbolic Planning

Long-term planning poses a major difficulty to many reinforcement learni...
01/06/2019 ∙ by Daniel Gordon, et al. ∙ 12 ∙ share

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Two Body Problem: Collaborative Visual Task Completion

Collaboration is a necessary skill to perform tasks that are beyond one ...
04/11/2019 ∙ by Unnat Jain, et al. ∙ 12 ∙ share

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Watching the World Go By: Representation Learning from Unlabeled Videos

Recent single image unsupervised representation learning techniques show...
03/18/2020 ∙ by Daniel Gordon, et al. ∙ 12 ∙ share

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Soft Threshold Weight Reparameterization for Learnable Sparsity

Sparsity in Deep Neural Networks (DNNs) is studied extensively with the ...
02/08/2020 ∙ by Aditya Kusupati, et al. ∙ 3 ∙ share

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Transferring Common-Sense Knowledge for Object Detection

We propose the idea of transferring common-sense knowledge from source c...
04/03/2018 ∙ by Krishna Kumar Singh, et al. ∙ 2 ∙ share

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Actor and Observer: Joint Modeling of First and Third-Person Videos

Several theories in cognitive neuroscience suggest that when people inte...
04/25/2018 ∙ by Gunnar A. Sigurdsson, et al. ∙ 2 ∙ share

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Imagine This! Scripts to Compositions to Videos

Imagining a scene described in natural language with realistic layout an...
04/10/2018 ∙ by Tanmay Gupta, et al. ∙ 2 ∙ share

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PhotoShape: Photorealistic Materials for Large-Scale Shape Collections

Existing online 3D shape repositories contain thousands of 3D models but...
09/26/2018 ∙ by Keunhong Park, et al. ∙ 2 ∙ share

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Discovering Neural Wirings

The success of neural networks has driven a shift in focus from feature ...
06/03/2019 ∙ by Mitchell Wortsman, et al. ∙ 2 ∙ share

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RoboTHOR: An Open Simulation-to-Real Embodied AI Platform

Visual recognition ecosystems (e.g. ImageNet, Pascal, COCO) have undenia...
04/14/2020 ∙ by Matt Deitke, et al. ∙ 2 ∙ share

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OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledge

Visual Question Answering (VQA) in its ideal form lets us study reasonin...
05/31/2019 ∙ by Kenneth Marino, et al. ∙ 1 ∙ share

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AJILE Movement Prediction: Multimodal Deep Learning for Natural Human Neural Recordings and Video

Developing useful interfaces between brains and machines is a grand chal...
09/13/2017 ∙ by Xin Ru Nancy Wang, et al. ∙ 0 ∙ share

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Visual Semantic Planning using Deep Successor Representations

A crucial capability of real-world intelligent agents is their ability t...
05/23/2017 ∙ by Yuke Zhu, et al. ∙ 0 ∙ share

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Re3 : Real-Time Recurrent Regression Networks for Visual Tracking of Generic Objects

Robust object tracking requires knowledge and understanding of the objec...
05/17/2017 ∙ by Daniel Gordon, et al. ∙ 0 ∙ share

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SeGAN: Segmenting and Generating the Invisible

Objects often occlude each other in scenes; Inferring their appearance b...
03/29/2017 ∙ by Kiana Ehsani, et al. ∙ 0 ∙ share

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Structured Set Matching Networks for One-Shot Part Labeling

Diagrams often depict complex phenomena and serve as a good test bed for...
12/05/2017 ∙ by Jonghyun Choi, et al. ∙ 0 ∙ share

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See the Glass Half Full: Reasoning about Liquid Containers, their Volume and Content

Humans have rich understanding of liquid containers and their contents; ...
01/10/2017 ∙ by Roozbeh Mottaghi, et al. ∙ 0 ∙ share

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YOLO9000: Better, Faster, Stronger

We introduce YOLO9000, a state-of-the-art, real-time object detection sy...
12/25/2016 ∙ by Joseph Redmon, et al. ∙ 0 ∙ share

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Asynchronous Temporal Fields for Action Recognition

Actions are more than just movements and trajectories: we cook to eat an...
12/19/2016 ∙ by Gunnar A. Sigurdsson, et al. ∙ 0 ∙ share

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Commonly Uncommon: Semantic Sparsity in Situation Recognition

Semantic sparsity is a common challenge in structured visual classificat...
12/03/2016 ∙ by Mark Yatskar, et al. ∙ 0 ∙ share

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LCNN: Lookup-based Convolutional Neural Network

Porting state of the art deep learning algorithms to resource constraine...
11/20/2016 ∙ by Hessam Bagherinezhad, et al. ∙ 0 ∙ share

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Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning

Two less addressed issues of deep reinforcement learning are (1) lack of...
09/16/2016 ∙ by Yuke Zhu, et al. ∙ 0 ∙ share

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Much Ado About Time: Exhaustive Annotation of Temporal Data

Large-scale annotated datasets allow AI systems to learn from and build ...
07/25/2016 ∙ by Gunnar A. Sigurdsson, et al. ∙ 0 ∙ share

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Deep3D: Fully Automatic 2D-to-3D Video Conversion with Deep Convolutional Neural Networks

As 3D movie viewing becomes mainstream and Virtual Reality (VR) market e...
04/13/2016 ∙ by Junyuan Xie, et al. ∙ 0 ∙ share

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Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding

Computer vision has a great potential to help our daily lives by searchi...
04/06/2016 ∙ by Gunnar A. Sigurdsson, et al. ∙ 0 ∙ share

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A Diagram Is Worth A Dozen Images

Diagrams are common tools for representing complex concepts, relationshi...
03/24/2016 ∙ by Aniruddha Kembhavi, et al. ∙ 0 ∙ share

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"What happens if..." Learning to Predict the Effect of Forces in Images

What happens if one pushes a cup sitting on a table toward the edge of t...
03/17/2016 ∙ by Roozbeh Mottaghi, et al. ∙ 0 ∙ share

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XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

We propose two efficient approximations to standard convolutional neural...
03/16/2016 ∙ by Mohammad Rastegari, et al. ∙ 0 ∙ share

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Semantic Understanding of Professional Soccer Commentaries

This paper presents a novel approach to the problem of semantic parsing ...
10/16/2012 ∙ by Hannaneh Hajishirzi, et al. ∙ 0 ∙ share

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Are Elephants Bigger than Butterflies? Reasoning about Sizes of Objects

Human vision greatly benefits from the information about sizes of object...
02/02/2016 ∙ by Hessam Bagherinezhad, et al. ∙ 0 ∙ share

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Toward a Taxonomy and Computational Models of Abnormalities in Images

The human visual system can spot an abnormal image, and reason about wha...
12/04/2015 ∙ by Babak Saleh, et al. ∙ 0 ∙ share

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Actions Transformations

What defines an action like "kicking ball"? We argue that the true meani...
12/02/2015 ∙ by Xiaolong Wang, et al. ∙ 0 ∙ share

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Newtonian Image Understanding: Unfolding the Dynamics of Objects in Static Images

In this paper, we study the challenging problem of predicting the dynami...
11/12/2015 ∙ by Roozbeh Mottaghi, et al. ∙ 0 ∙ share

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You Only Look Once: Unified, Real-Time Object Detection

We present YOLO, a new approach to object detection. Prior work on objec...
06/08/2015 ∙ by Joseph Redmon, et al. ∙ 0 ∙ share

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Image Classification and Retrieval from User-Supplied Tags

This paper proposes direct learning of image classification from user-su...
11/25/2014 ∙ by Hamid Izadinia, et al. ∙ 0 ∙ share

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Abnormal Object Recognition: A Comprehensive Study

When describing images, humans tend not to talk about the obvious, but r...
11/09/2014 ∙ by Babak Saleh, et al. ∙ 0 ∙ share

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Neural Speed Reading via Skim-RNN

Inspired by the principles of speed reading, we introduce Skim-RNN, a re...
11/06/2017 ∙ by Minjoon Seo, et al. ∙ 0 ∙ share

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Bidirectional Attention Flow for Machine Comprehension

Machine comprehension (MC), answering a query about a given context para...
11/05/2016 ∙ by Minjoon Seo, et al. ∙ 0 ∙ share

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Query-Reduction Networks for Question Answering

In this paper, we study the problem of question answering when reasoning...
06/14/2016 ∙ by Minjoon Seo, et al. ∙ 0 ∙ share

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IQA: Visual Question Answering in Interactive Environments

We introduce Interactive Question Answering (IQA), the task of answering...
12/09/2017 ∙ by Daniel Gordon, et al. ∙ 0 ∙ share

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AI2-THOR: An Interactive 3D Environment for Visual AI

We introduce The House Of inteRactions (THOR), a framework for visual AI...
12/14/2017 ∙ by Eric Kolve, et al. ∙ 0 ∙ share

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Who Let The Dogs Out? Modeling Dog Behavior From Visual Data

We introduce the task of directly modeling a visually intelligent agent....
03/28/2018 ∙ by Kiana Ehsani, et al. ∙ 0 ∙ share

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Ali Farhadi

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