126 citations · 301 across the 7 of their papers we have counts for
7 papers
Deep Learning Guided Building Reconstruction from Satellite Imagery-derived Point Clouds
Bo Xu, Xu Zhang, Zhixin Li +3
3D urban reconstruction of buildings from remotely sensed imagery has drawn significant attention during the past two decades. While aerial imagery and LiDAR provide higher resolut…
Unifying Specialist Image Embedding into Universal Image Embedding
Yang Feng, Futang Peng, Xu Zhang +7
Deep image embedding provides a way to measure the semantic similarity of two images. It plays a central role in many applications such as image search, face verification, and zero…
Detecting and Simulating Artifacts in GAN Fake Images
Xu Zhang, Svebor Karaman, Shih-Fu Chang
To detect GAN generated images, conventional supervised machine learning algorithms require collection of a number of real and fake images from the targeted GAN model. However, the…
Unsupervised Embedding Learning via Invariant and Spreading Instance Feature
Mang Ye, Xu Zhang, Pong C. Yuen +1
This paper studies the unsupervised embedding learning problem, which requires an effective similarity measurement between samples in low-dimensional embedding space. Motivated by…
Heated-Up Softmax Embedding
Xu Zhang, Felix Xinnan Yu, Svebor Karaman +2
Metric learning aims at learning a distance which is consistent with the semantic meaning of the samples. The problem is generally solved by learning an embedding for each sample s…
Learning Spread-out Local Feature Descriptors
Xu Zhang, Felix X. Yu, Sanjiv Kumar +1
We propose a simple, yet powerful regularization technique that can be used to significantly improve both the pairwise and triplet losses in learning local feature descriptors. The…
Deep Transfer Network: Unsupervised Domain Adaptation
Xu Zhang, Felix Xinnan Yu, Shih-Fu Chang +1
Domain adaptation aims at training a classifier in one dataset and applying it to a related but not identical dataset. One successfully used framework of domain adaptation is to le…