News

CARLA: An Open Urban Driving Simulator

Papers accepted to NIPS and CoRL


Posted on September 9, 2017

Two new papers accepted. Learning to Inpaint for Image Compression was accepted to Neural Information Processing Systems (NIPS). And CARLA: An Open Urban Driving Simulator was accepted to the new Conference on Robot Learning (CoRL).

Robust Continuous Clustering

Paper published in PNAS


Posted on August 30, 2017

Robust Continuous Clustering was published in the Proceedings of the National Academy of Sciences (PNAS). The paper presents a clustering algorithm that optimizes a smooth global objective using efficient numerical methods. This allows clustering to be integrated into end-to-end feature learning pipelines. Our algorithm effectively untangles mixed clusters, achieves high accuracy across domains, and scales to high dimensions and large datasets.

Playing for Benchmarks

Five papers accepted to ICCV 2017


Posted on July 31, 2017

Five papers were accepted to the International Conference on Computer Vision (ICCV). Photographic Image Synthesis was selected for full oral presentation at the conference (2.1% acceptance rate). Playing for Benchmarks was selected for a spotlight oral.

Tanks and Temples

Paper accepted to SIGGRAPH 2017


Posted on March 27, 2017

The paper Tanks and Temples: Benchmarking Large-Scale Scene Reconstruction was accepted to SIGGRAPH 2017.

Accurate Optical Flow via Direct Cost Volume Processing

Two papers accepted to CVPR 2017


Posted on March 4, 2017

Two papers were accepted to the Conference on Computer Vision and Pattern Recognition (CVPR): Dilated Residual Networks and Accurate Optical Flow via Direct Cost Volume Processing.

Learning to Act by Predicting the Future

Paper accepted to ICLR 2017


Posted on February 7, 2017

The paper Learning to Act by Predicting the Future was accepted to the International Conference on Learning Representations (ICLR) and selected for full oral presentation at the conference (3% acceptance rate).

Direct Sparse Odometry

Paper accepted to PAMI


Posted on February 7, 2017

The paper Direct Sparse Odometry was accepted to the IEEE Transactions on Pattern Analysis and Machine Intelligence.

Visual Doom AI Competition

Visual Doom AI Competition


Posted on September 26, 2016

Our entry won the Visual Doom AI Competition. The competition evaluates sensorimotor control models that act in three-dimensional environments based on raw sensory input. Our entry, IntelAct, placed first in the “Full deathmatch” track, which takes place in previously unseen environments. Our model was trained end-to-end: from pixels to actions. It learns to act from raw experience, without human gameplay or other “expert” supervision. The work is based on an approach to sensorimotor control that will be presented in a forthcoming research paper. A video preview is available.

Playing for Data: Ground Truth from Computer Games

Two papers accepted to ECCV 2016


Posted on August 1, 2016

Two papers were accepted to the European Conference on Computer Vision (ECCV): Playing for Data and Fast Global Registration. The latter was selected for full oral presentation at the conference (1.8% acceptance rate).

Feature Space Optimization for Semantic Video Segmentation

Three papers accepted to CVPR 2016


Posted on March 4, 2016

Three papers were accepted to the Conference on Computer Vision and Pattern Recognition (CVPR). Two of these were selected for full oral presentation at the conference (3.9% acceptance rate).

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Paper accepted to ICLR 2016


Posted on March 4, 2016

The paper Multi-Scale Context Aggregation by Dilated Convolutions was accepted to the International Conference on Learning Representations (ICLR).

Adobe Fuse

Adobe releases Fuse


Posted on October 10, 2015

Adobe released a product based on our data-driven 3D modeling research at Stanford. The original research was described in papers published at SIGGRAPH Asia 2010 and SIGGRAPH 2011, and was the subject of Siddhartha Chaudhuri’s PhD thesis. Our technology was licensed in 2012 by Mixamo, a start-up company led by Stefano Corazza. Mixamo turned the technology into a product called Fuse. Fuse became a widely used 3D character modeling tool and led to Adobe’s acquisition of Mixamo earlier this year. Fuse has now been rebranded and launched as part of the Adobe Creative Cloud.

Robust Nonrigid Registration by Convex Optimization

Paper accepted to ICCV 2015


Posted on September 6, 2015

The paper Robust Nonrigid Registration by Convex Optimization was accepted to the International Conference on Computer Vision (ICCV) and selected for full oral presentation at the conference (3.3% acceptance rate).

http://vladlen.info/publications/single-view-reconstruction-via-joint-analysis-of-image-and-shape-collections/

Paper accepted to SIGGRAPH 2015


Posted on May 8, 2015

The paper Single-View Reconstruction via Joint Analysis of Image and Shape Collections was accepted to SIGGRAPH 2015.

Robust Reconstruction of Indoor Scenes

Three papers accepted to CVPR 2015


Posted on March 9, 2015

Three papers were accepted to the Conference on Computer Vision and Pattern Recognition (CVPR).

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Joined Intel Labs


Posted on January 5, 2015

Joined Intel Labs to build a new lab devoted to basic research.

Geodesic Object Proposals

Paper accepted to ECCV 2014


Posted on July 8, 2014

The paper Geodesic Object Proposals was accepted to the European Conference on Computer Vision (ECCV) and selected for full oral presentation at the conference (2.8% acceptance rate).

Color Map Optimization

Paper accepted to SIGGRAPH 2014


Posted on April 24, 2014

The paper Color Map Optimization for 3D Reconstruction with Consumer Depth Cameras was accepted to SIGGRAPH 2014.

Learning Complex Neural Network Policies

Paper accepted to ICML 2014


Posted on April 24, 2014

A new paper on policy search was accepted to the International Conference on Machine Learning (ICML).

Symposium on Computer Animation 2014

Symposium on Computer Animation 2014


Posted on February 23, 2014

I’m serving as a Program Chair of the Symposium on Computer Animation. The submission deadline is April 15. The call for papers is here.

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Paper accepted to NIPS 2013


Posted on October 8, 2013

A new paper on policy search was accepted to NIPS 2013.

Elastic Fragments for Dense Scene Reconstruction

Two papers accepted to ICCV 2013


Posted on September 2, 2013

Two papers were accepted to the International Conference on Computer Vision (ICCV): A Simple Model for Intrinsic Image Decomposition with Depth Cues and Elastic Fragments for Dense Scene Reconstruction. The latter was selected for full oral presentation at the conference (2.5% acceptance rate).

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Paper accepted to SIGGRAPH Asia 2013


Posted on July 24, 2013

A new paper on simulation of human motion was accepted to SIGGRAPH Asia 2013.

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Two papers accepted to ICML 2013


Posted on May 4, 2013

The papers Guided Policy Search and Parameter Learning and Convergent Inference for Dense Random Fields were accepted to ICML 2013.

Dense Scene Reconstruction with Points of Interest

Paper accepted to SIGGRAPH 2013


Posted on April 21, 2013

The paper Dense Scene Reconstruction with Points of Interest was accepted to SIGGRAPH 2013.

Mixamo releases Fuse

Mixamo releases Fuse


Posted on August 27, 2012

Mixamo released a character modeling tool based on our assembly-based modeling work. The modeling tool is called Fuse and is a polished version of the system developed by Siddhartha Chaudhuri for his PhD thesis.

Efficient Nonlocal Regularization for Optical Flow

Paper accepted to ECCV 2012


Posted on June 27, 2012

The paper Efficient Nonlocal Regularization for Optical Flow was accepted to ECCV 2012. Congratulations Philipp!

Continuous Inverse Optimal Control with Locally Optimal Examples

Paper accepted to ICML 2012


Posted on May 15, 2012

The paper Continuous Inverse Optimal Control with Locally Optimal Examples was accepted to ICML 2012. Congratulations Sergey!

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NIPS Outstanding Student Paper Award


Posted on December 9, 2011

Philipp Krähenbühl won the Outstanding Student Paper award at NIPS 2011 for our paper Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials. This year NIPS received 1,400 submissions, 306 of which were accepted for publication. Three of these were picked for the award. (See the conference book for more details.)