113 citations · 1.1k across the 69 of their papers we have counts for
7 papers · 1 filter
Learning 3D Face Reconstruction with a Pose Guidance Network
Pengpeng Liu, Xintong Han, Michael Lyu +2
We present a self-supervised learning approach to learning monocular 3D face reconstruction with a pose guidance network (PGN). First, we unveil the bottleneck of pose estimation i…
Flow2Stereo: Effective Self-Supervised Learning of Optical Flow and Stereo Matching
Pengpeng Liu, Irwin King, Michael Lyu +1
In this paper, we propose a unified method to jointly learn optical flow and stereo matching. Our first intuition is stereo matching can be modeled as a special case of optical flo…
VD-BERT: A Unified Vision and Dialog Transformer with BERT
Yue Wang, Shafiq Joty, Michael R. Lyu +3
Visual dialog is a challenging vision-language task, where a dialog agent needs to answer a series of questions through reasoning on the image content and dialog history. Prior wor…
SelFlow: Self-Supervised Learning of Optical Flow
Pengpeng Liu, Michael Lyu, Irwin King +1
We present a self-supervised learning approach for optical flow. Our method distills reliable flow estimations from non-occluded pixels, and uses these predictions as ground truth…
DDFlow: Learning Optical Flow with Unlabeled Data Distillation
Pengpeng Liu, Irwin King, Michael R. Lyu +1
We present DDFlow, a data distillation approach to learning optical flow estimation from unlabeled data. The approach distills reliable predictions from a teacher network, and uses…
Semantically Consistent Image Completion with Fine-grained Details
Pengpeng Liu, Xiaojuan Qi, Pinjia He +3
Image completion has achieved significant progress due to advances in generative adversarial networks (GANs). Albeit natural-looking, the synthesized contents still lack details, e…