28 citations · 136 across the 13 of their papers we have counts for
5 papers · 1 filter
End-to-End Learnable Geometric Vision by Backpropagating PnP Optimization
Bo Chen, Alvaro Parra, Jiewei Cao +2
Deep networks excel in learning patterns from large amounts of data. On the other hand, many geometric vision tasks are specified as optimization problems. To seamlessly combine de…
Part-Guided Attention Learning for Vehicle Instance Retrieval
Xinyu Zhang, Rufeng Zhang, Jiewei Cao +3
Vehicle instance retrieval often requires one to recognize the fine-grained visual differences between vehicles. Besides the holistic appearance of vehicles which is easily affecte…
Satellite Pose Estimation with Deep Landmark Regression and Nonlinear Pose Refinement
Bo Chen, Jiewei Cao, Alvaro Parra +1
We propose an approach to estimate the 6DOF pose of a satellite, relative to a canonical pose, from a single image. Such a problem is crucial in many space proximity operations, su…
Self-training with progressive augmentation for unsupervised cross-domain person re-identification
Xinyu Zhang, Jiewei Cao, Chunhua Shen +1
Person re-identification (Re-ID) has achieved great improvement with deep learning and a large amount of labelled training data. However, it remains a challenging task for adapting…
V-PROM: A Benchmark for Visual Reasoning Using Visual Progressive Matrices
Damien Teney, Peng Wang, Jiewei Cao +3
One of the primary challenges faced by deep learning is the degree to which current methods exploit superficial statistics and dataset bias, rather than learning to generalise over…