Five papers were accepted to the International Conference on Computer Vision (ICCV). Photographic Image Synthesis was selected for full oral presentation at the conference. Playing for Benchmarks was selected for a spotlight oral.
The paper Tanks and Temples: Benchmarking Large-Scale Scene Reconstruction was accepted to SIGGRAPH 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.
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).
The paper Direct Sparse Odometry was accepted to the IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.
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).
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).
The paper Multi-Scale Context Aggregation by Dilated Convolutions was accepted to the International Conference on Learning Representations (ICLR).
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.
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).
The paper Single-View Reconstruction via Joint Analysis of Image and Shape Collections was accepted to SIGGRAPH 2015.
Three papers were accepted to the Conference on Computer Vision and Pattern Recognition (CVPR).
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).
The paper Color Map Optimization for 3D Reconstruction with Consumer Depth Cameras was accepted to SIGGRAPH 2014.
A new paper on policy search was accepted to the International Conference on Machine Learning (ICML).
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.
A new paper on policy search was accepted to NIPS 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).
A new paper on simulation of human motion was accepted to SIGGRAPH Asia 2013.
The papers Guided Policy Search and Parameter Learning and Convergent Inference for Dense Random Fields were accepted to ICML 2013.
The paper Dense Scene Reconstruction with Points of Interest was accepted to SIGGRAPH 2013.
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.
The paper Efficient Nonlocal Regularization for Optical Flow was accepted to ECCV 2012. Congratulations Philipp!
The paper Continuous Inverse Optimal Control with Locally Optimal Examples was accepted to ICML 2012. Congratulations Sergey!
Four papers were accepted to SIGGRAPH 2012: A Probabilistic Model for Component-Based Shape Synthesis, Optimizing Locomotion Controllers Using Biologically-Based Actuators and Objectives, An Algebraic Model for Parameterized Shape Editing, and Continuous Character Control with Low-Dimensional Embeddings.
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.)
