Search Results for author: Andrew Owens

Found 19 papers, 10 papers with code

Structure from Silence: Learning Scene Structure from Ambient Sound

no code implementations10 Nov 2021 Ziyang Chen, Xixi Hu, Andrew Owens

From whirling ceiling fans to ticking clocks, the sounds that we hear subtly vary as we move through a scene.

Comparing Correspondences: Video Prediction with Correspondence-wise Losses

1 code implementation19 Apr 2021 Daniel Geng, Andrew Owens

Today's image prediction methods struggle to change the locations of objects in a scene, producing blurry images that average over the many positions they might occupy.

Optical Flow Estimation Video Prediction

Strumming to the Beat: Audio-Conditioned Contrastive Video Textures

no code implementations6 Apr 2021 Medhini Narasimhan, Shiry Ginosar, Andrew Owens, Alexei A. Efros, Trevor Darrell

We learn representations for video frames and frame-to-frame transition probabilities by fitting a video-specific model trained using contrastive learning.

Contrastive Learning Self-Supervised Learning +1

Planar Surface Reconstruction from Sparse Views

1 code implementation ICCV 2021 Linyi Jin, Shengyi Qian, Andrew Owens, David F. Fouhey

The paper studies planar surface reconstruction of indoor scenes from two views with unknown camera poses.

Surface Reconstruction

Contrastive Video Textures

no code implementations1 Jan 2021 Medhini Narasimhan, Shiry Ginosar, Andrew Owens, Alexei A Efros, Trevor Darrell

By randomly traversing edges with high transition probabilities, we generate diverse temporally smooth videos with novel sequences and transitions.

Contrastive Learning Video Generation

CNN-generated images are surprisingly easy to spot... for now

2 code implementations CVPR 2020 Sheng-Yu Wang, Oliver Wang, Richard Zhang, Andrew Owens, Alexei A. Efros

In this work we ask whether it is possible to create a "universal" detector for telling apart real images from these generated by a CNN, regardless of architecture or dataset used.

Data Augmentation Image Generation +1

Detecting Photoshopped Faces by Scripting Photoshop

2 code implementations ICCV 2019 Sheng-Yu Wang, Oliver Wang, Andrew Owens, Richard Zhang, Alexei A. Efros

Most malicious photo manipulations are created using standard image editing tools, such as Adobe Photoshop.

Image Manipulation Detection

Learning Individual Styles of Conversational Gesture

1 code implementation CVPR 2019 Shiry Ginosar, Amir Bar, Gefen Kohavi, Caroline Chan, Andrew Owens, Jitendra Malik

Specifically, we perform cross-modal translation from "in-the-wild'' monologue speech of a single speaker to their hand and arm motion.

Speech-to-Gesture Translation Translation

MoSculp: Interactive Visualization of Shape and Time

no code implementations14 Sep 2018 Xiuming Zhang, Tali Dekel, Tianfan Xue, Andrew Owens, Qiurui He, Jiajun Wu, Stefanie Mueller, William T. Freeman

We present a system that allows users to visualize complex human motion via 3D motion sculptures---a representation that conveys the 3D structure swept by a human body as it moves through space.

More Than a Feeling: Learning to Grasp and Regrasp using Vision and Touch

no code implementations28 May 2018 Roberto Calandra, Andrew Owens, Dinesh Jayaraman, Justin Lin, Wenzhen Yuan, Jitendra Malik, Edward H. Adelson, Sergey Levine

This model -- a deep, multimodal convolutional network -- predicts the outcome of a candidate grasp adjustment, and then executes a grasp by iteratively selecting the most promising actions.

Robotic Grasping

Fighting Fake News: Image Splice Detection via Learned Self-Consistency

3 code implementations ECCV 2018 Minyoung Huh, Andrew Liu, Andrew Owens, Alexei A. Efros

In this paper, we propose a learning algorithm for detecting visual image manipulations that is trained only using a large dataset of real photographs.

Image Forensics

Audio-Visual Scene Analysis with Self-Supervised Multisensory Features

1 code implementation ECCV 2018 Andrew Owens, Alexei A. Efros

The thud of a bouncing ball, the onset of speech as lips open -- when visual and audio events occur together, it suggests that there might be a common, underlying event that produced both signals.

Action Recognition Audio Source Separation

Learning Sight from Sound: Ambient Sound Provides Supervision for Visual Learning

no code implementations20 Dec 2017 Andrew Owens, Jiajun Wu, Josh H. McDermott, William T. Freeman, Antonio Torralba

The sound of crashing waves, the roar of fast-moving cars -- sound conveys important information about the objects in our surroundings.

The Feeling of Success: Does Touch Sensing Help Predict Grasp Outcomes?

1 code implementation16 Oct 2017 Roberto Calandra, Andrew Owens, Manu Upadhyaya, Wenzhen Yuan, Justin Lin, Edward H. Adelson, Sergey Levine

In this work, we investigate the question of whether touch sensing aids in predicting grasp outcomes within a multimodal sensing framework that combines vision and touch.

Industrial Robots Robotic Grasping

Ambient Sound Provides Supervision for Visual Learning

1 code implementation25 Aug 2016 Andrew Owens, Jiajun Wu, Josh H. McDermott, William T. Freeman, Antonio Torralba

We show that, through this process, the network learns a representation that conveys information about objects and scenes.

Object Recognition

Camouflaging an Object from Many Viewpoints

no code implementations CVPR 2014 Andrew Owens, Connelly Barnes, Alex Flint, Hanumant Singh, William Freeman

We address the problem of camouflaging a 3D object from the many viewpoints that one might see it from.

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