257 citations · 854 across the 72 of their papers we have counts for
5 papers · 1 filter
Task-Assisted Domain Adaptation with Anchor Tasks
Zhizhong Li, Linjie Luo, Sergey Tulyakov +2
Some tasks, such as surface normals or single-view depth estimation, require per-pixel ground truth that is difficult to obtain on real images but easy to obtain on synthetic. Howe…
Train One Get One Free: Partially Supervised Neural Network for Bug Report Duplicate Detection and Clustering
Lahari Poddar, Leonardo Neves, William Brendel +3
Tracking user reported bugs requires considerable engineering effort in going through many repetitive reports and assigning them to the correct teams. This paper proposes a neural…
Transformable Bottleneck Networks
Kyle Olszewski, Sergey Tulyakov, Oliver Woodford +2
We propose a novel approach to performing fine-grained 3D manipulation of image content via a convolutional neural network, which we call the Transformable Bottleneck Network (TBN)…
Laplace Landmark Localization
Joseph P Robinson, Yuncheng Li, Ning Zhang +2
Landmark localization in images and videos is a classic problem solved in various ways. Nowadays, with deep networks prevailing throughout machine learning, there are revamped inte…
3D Guided Fine-Grained Face Manipulation
Zhenglin Geng, Chen Cao, Sergey Tulyakov
We present a method for fine-grained face manipulation. Given a face image with an arbitrary expression, our method can synthesize another arbitrary expression by the same person.…