14 citations · 14 across the 2 of their papers we have counts for
2 papers
cs.CV2017★ 14 cited
Synthetic to Real Adaptation with Generative Correlation Alignment Networks
Xingchao Peng, Kate Saenko
Synthetic images rendered from 3D CAD models are useful for augmenting training data for object recognition algorithms. However, the generated images are non-photorealistic and do…
cs.CV2016
Combining Texture and Shape Cues for Object Recognition With Minimal Supervision
Xingchao Peng, Kate Saenko
We present a novel approach to object classification and detection which requires minimal supervision and which combines visual texture cues and shape information learned from free…