I am a BAIR postdoc at UC Berkeley adviced by Jitendra Malik, Alyosha Efros and Trevor Darrell. I did my PhD in CS at the University of Maryland, College Park with my advisor David Jacobs.
Since then I've had the pleasure to work with:
My work focuses on 3D reconstruction of animals including humans from single-view images. I work with animals because I am interested in how to represent non-rigid 3D shapes that deform and articulate. In particular I'm interested in how we can build a model of non-rigid 3D shapes from 2D images or videos. Also, animal pictures are a lot of fun to work with.
I believe the key to solving this problem is having a strong prior on object pose and shape, which can resolve many of the ambiguities. I am also interested in exploring how deep learning methods can be used for building such models.
Keep it SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image
Federica Bogo*, Angjoo Kanazawa*, Christoph Lassner, Peter Gehler, Javier Romero and Michael J. Black
(* equal contribution)
European Conference on Computer Vision (ECCV) 2016. (Spotlight)
[pdf] [project page with code] [Spotlight video ]
Our work was featured in two minute papers
WarpNet: Weakly Supervised Matching for Single-View Reconstruction
Angjoo Kanazawa, David W. Jacobs, Manmohan Chandraker
Computer Vision and Pattern Recognition (CVPR) 2016.
[pdf] [supp] [test set ids & our curves]
Learning 3D Deformation of Animals from 2D Images
Angjoo Kanazawa, Shahar Kovalsky, Ronen Basri, David W. Jacobs
Eurographics 2016. Günter Enderle Best Paper Award
[pdf] [code on github] [fastforward] [cat results]
Affordance of Object Parts from Geometric Features
Austin Myers, Angjoo Kanazawa, Cornelia Fermuller, Yiannis Aloimonos
RGB-D: Advanced Reasoning with Depth Cameras: RSS 2014 [pdf]
Vision Meets Cognition Workshop: CVPR 2014 [pdf]
Single-View 3D Reconstruction of Animals
Doctoral Thesis, University of Maryland, August 2017