79 citations · 166 across the 10 of their papers we have counts for
23 papers
Towards Adversarially Robust and Domain Generalizable Stereo Matching by Rethinking DNN Feature Backbones
Kelvin Cheng, Christopher Healey, Tianfu Wu
Stereo matching has recently witnessed remarkable progress using Deep Neural Networks (DNNs). But, how robust are they? Although it has been well-known that DNNs often suffer from…
PlaneTR: Structure-Guided Transformers for 3D Plane Recovery
Bin Tan, Nan Xue, Song Bai +2
This paper presents a neural network built upon Transformers, namely PlaneTR, to simultaneously detect and reconstruct planes from a single image. Different from previous methods,…
Deep Consensus Learning
Wei Sun, Tianfu Wu
Both generative learning and discriminative learning have recently witnessed remarkable progress using Deep Neural Networks (DNNs). For structured input synthesis and structured ou…
Local Clustering with Mean Teacher for Semi-supervised Learning
Zexi Chen, Benjamin Dutton, Bharathkumar Ramachandra +2
The Mean Teacher (MT) model of Tarvainen and Valpola has shown favorable performance on several semi-supervised benchmark datasets. MT maintains a teacher model's weights as the ex…
Holistically-Attracted Wireframe Parsing
Nan Xue, Tianfu Wu, Song Bai +4
This paper presents a fast and parsimonious parsing method to accurately and robustly detect a vectorized wireframe in an input image with a single forward pass. The proposed metho…
Learning Layout and Style Reconfigurable GANs for Controllable Image Synthesis
Wei Sun, Tianfu Wu
With the remarkable recent progress on learning deep generative models, it becomes increasingly interesting to develop models for controllable image synthesis from reconfigurable i…