activity
20162021
most citedSiamese Regression Networks with Efficient mid-level Feature Extraction for 3D Object Pose Estimation

43 citations · 86 across the 4 of their papers we have counts for

collaborators

7 papers

cs.CV202111 cited

Reassessing the Limitations of CNN Methods for Camera Pose Regression

Tony Ng, Adrian Lopez-Rodriguez, Vassileios Balntas +1

In this paper, we address the problem of camera pose estimation in outdoor and indoor scenarios. In comparison to the currently top-performing methods that rely on 2D to 3D matchin…

cs.CV2020

HyNet: Learning Local Descriptor with Hybrid Similarity Measure and Triplet Loss

Yurun Tian, Axel Barroso-Laguna, Tony Ng +2

Recent works show that local descriptor learning benefits from the use of L2 normalisation, however, an in-depth analysis of this effect lacks in the literature. In this paper, we…

cs.CV20205 cited

D2D: Keypoint Extraction with Describe to Detect Approach

Yurun Tian, Vassileios Balntas, Tony Ng +3

In this paper, we present a novel approach that exploits the information within the descriptor space to propose keypoint locations. Detect then describe, or detect and describe joi…

cs.CV202027 cited

UR2KiD: Unifying Retrieval, Keypoint Detection, and Keypoint Description without Local Correspondence Supervision

Tsun-Yi Yang, Duy-Kien Nguyen, Huub Heijnen +1

In this paper, we explore how three related tasks, namely keypoint detection, description, and image retrieval can be jointly tackled using a single unified framework, which is tra…

cs.CV2020

SOLAR: Second-Order Loss and Attention for Image Retrieval

Tony Ng, Vassileios Balntas, Yurun Tian +1

Recent works in deep-learning have shown that second-order information is beneficial in many computer-vision tasks. Second-order information can be enforced both in the spatial con…

cs.CV2019

SOSNet: Second Order Similarity Regularization for Local Descriptor Learning

Yurun Tian, Xin Yu, Bin Fan +3

Despite the fact that Second Order Similarity (SOS) has been used with significant success in tasks such as graph matching and clustering, it has not been exploited for learning lo…