115 citations · 361 across the 35 of their papers we have counts for
9 papers · 1 filter
Adversarial Latent Autoencoder with Self-Attention for Structural Image Synthesis
Jiajie Fan, Laure Vuaille, Hao Wang +1
Generative Engineering Design approaches driven by Deep Generative Models (DGM) have been proposed to facilitate industrial engineering processes. In such processes, designs often…
Extracting Motion and Appearance via Inter-Frame Attention for Efficient Video Frame Interpolation
Guozhen Zhang, Yuhan Zhu, Haonan Wang +3
Effectively extracting inter-frame motion and appearance information is important for video frame interpolation (VFI). Previous works either extract both types of information in a…
Visual Prompt Tuning for Test-time Domain Adaptation
Yunhe Gao, Xingjian Shi, Yi Zhu +5
Models should be able to adapt to unseen data during test-time to avoid performance drops caused by inevitable distribution shifts in real-world deployment scenarios. In this work,…
Fast Key Points Detection and Matching for Tree-Structured Images
Hao Wang, Xiwen Chen, Abolfazl Razi +1
This paper offers a new authentication algorithm based on image matching of nano-resolution visual identifiers with tree-shaped patterns. The algorithm includes image-to-tree conve…
Causal Transportability for Visual Recognition
Chengzhi Mao, Kevin Xia, James Wang +4
Visual representations underlie object recognition tasks, but they often contain both robust and non-robust features. Our main observation is that image classifiers may perform poo…
DIP: Deep Inverse Patchmatch for High-Resolution Optical Flow
Zihua Zheng, Ni Nie, Zhi Ling +4
Recently, the dense correlation volume method achieves state-of-the-art performance in optical flow. However, the correlation volume computation requires a lot of memory, which mak…