154 citations · 605 across the 50 of their papers we have counts for
10 papers · 2 filters
DESC: Domain Adaptation for Depth Estimation via Semantic Consistency
Adrian Lopez-Rodriguez, Krystian Mikolajczyk
Accurate real depth annotations are difficult to acquire, needing the use of special devices such as a LiDAR sensor. Self-supervised methods try to overcome this problem by process…
Cascaded channel pruning using hierarchical self-distillation
Roy Miles, Krystian Mikolajczyk
In this paper, we propose an approach for filter-level pruning with hierarchical knowledge distillation based on the teacher, teaching-assistant, and student framework. Our method…
Project to Adapt: Domain Adaptation for Depth Completion from Noisy and Sparse Sensor Data
Adrian Lopez-Rodriguez, Benjamin Busam, Krystian Mikolajczyk
Depth completion aims to predict a dense depth map from a sparse depth input. The acquisition of dense ground truth annotations for depth completion settings can be difficult and,…
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…
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…
HDD-Net: Hybrid Detector Descriptor with Mutual Interactive Learning
Axel Barroso-Laguna, Yannick Verdie, Benjamin Busam +1
Local feature extraction remains an active research area due to the advances in fields such as SLAM, 3D reconstructions, or AR applications. The success in these applications relie…
SHOP-VRB: A Visual Reasoning Benchmark for Object Perception
Michal Nazarczuk, Krystian Mikolajczyk
In this paper we present an approach and a benchmark for visual reasoning in robotics applications, in particular small object grasping and manipulation. The approach and benchmark…
Domain Adversarial Training for Infrared-colour Person Re-Identification
Nima Mohammadi Meshky, Sara Iodice, Krystian Mikolajczyk
Person re-identification (re-ID) is a very active area of research in computer vision, due to the role it plays in video surveillance. Currently, most methods only address the task…
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…
Compression of descriptor models for mobile applications
Roy Miles, Krystian Mikolajczyk
Deep neural networks have demonstrated state-of-the-art performance for feature-based image matching through the advent of new large and diverse datasets. However, there has been l…