activity
20162026
most citedUniversal Correspondence Network

260 citations · 506 across the 15 of their papers we have counts for

collaborators
Showing 2017Show all

5 papers · 1 filter

cs.CV2017

SEGCloud: Semantic Segmentation of 3D Point Clouds

Lyne P. Tchapmi, Christopher B. Choy, Iro Armeni +2

3D semantic scene labeling is fundamental to agents operating in the real world. In particular, labeling raw 3D point sets from sensors provides fine-grained semantics. Recent work…

cs.CV2017

DeformNet: Free-Form Deformation Network for 3D Shape Reconstruction from a Single Image

Andrey Kurenkov, Jingwei Ji, Animesh Garg +4

3D reconstruction from a single image is a key problem in multiple applications ranging from robotic manipulation to augmented reality. Prior methods have tackled this problem thro…

cs.CV2017★ 1 cited

Weakly supervised 3D Reconstruction with Adversarial Constraint

JunYoung Gwak, Christopher B. Choy, Animesh Garg +2

Supervised 3D reconstruction has witnessed a significant progress through the use of deep neural networks. However, this increase in performance requires large scale annotations of…

cs.CV2017★ 74 cited

DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents

Namhoon Lee, Wongun Choi, Paul Vernaza +3

We introduce a Deep Stochastic IOC RNN Encoderdecoder framework, DESIRE, for the task of future predictions of multiple interacting agents in dynamic scenes. DESIRE effectively pre…

cs.CV2017★ 100 cited

Scene Graph Generation by Iterative Message Passing

Danfei Xu, Yuke Zhu, Christopher B. Choy +1

Understanding a visual scene goes beyond recognizing individual objects in isolation. Relationships between objects also constitute rich semantic information about the scene. In th…