News Archive
August 2020
Attending SIGGRAPH 2020? Drop by our BoF (Birds of a Feather) session Monday 8/24 at 11am Pacific Time to discuss the future of synthetic 3D indoor scene datasets.
July 2020
July 2020
Wallace Lira's work on image-to-image translation via multiple small "hops" has been accepted to ECCV 2020.
June 2020
Our CVPR 2020 workshop on Learning 3D Generative Models is coming up soon (6/14)! Submit questions for the panel discussion in advance using this Google form.
April 2020
The new Brown Visual Computing website is live! There are a couple of 'graphics-y' easter eggs on the page--see if you can find them 😉
March 2020
Won an NSF CAREER Award for work on Learning Neurosymbolic 3D Models.
March 2020
My PhD advisor, Pat Hanrahan, won a Turing Award!
February 2020
Check out our new state-of-the-art report (to be presented at Eurographics 2020) on Learning Generative Models of 3D Structures.
November 2019
PhD student Kai Wang announced as a recipient of the Adobe Research Fellowship. Congratulations, Kai!
October 2019
In Seoul, South Korea to present Yifan Liu's and Roulan Tang's work on style compatibility for Unity assets at Pacific Graphics.
May 2019
Paper on graph-based generative models for indoor scenes accepted to SIGGRAPH 2019.
March 2019
February 2019
I'll be presenting a tutorial on Learning Generative Models of 3D Structures at Eurographics 2019.
January 2019
I'm co-organizing a workshop on 3D Scene Generation at CVPR 2019.
December 2018
Yunchao Liu's work on inferring scene-generating programs from images accepted to ICLR 2019.
September 2018
Kevin Ellis's work on visual program induction from hand-drawn graph sketches accepted as a spotlight presentation at NeurIPS 2018.
August 2018
Aaron Gokaslan and Vivek Ramanujan's work on unsupervised image translation with large shape deformation to be presented at ECCV 2018.
March 2018
New paper on deep convolutional scene synthesis models accepted to SIGGRAPH 2018.
February 2018
Angela Dai's work on large-scale 3D scan completion accepted to CVPR 2018.
December 2017
New paper on learning procedural models from examples accepted to Eurographics 2018.
November 2017
Maxime Voisin's work on improved training for neural autoregressive data completion models accepted to the NIPS 2017 Bayesian Deep Learning Workshop.
October 2017
July 2017
Moved to Brown!
January 2017
Interview about Neurally-Guided Procedural Models on the AI Guild podcast.
October 2016
August 2016
July 2016
I will be starting as an Assistant Professor at the Brown University Computer Science Department in Fall 2017. I'm currently looking for students and postdocs; if you're interested in working with me, please contact me via email.