60 citations · 89 across the 12 of their papers we have counts for
21 papers · 1 filter
ObjCAViT: Improving Monocular Depth Estimation Using Natural Language Models And Image-Object Cross-Attention
Dylan Auty, Krystian Mikolajczyk
While monocular depth estimation (MDE) is an important problem in computer vision, it is difficult due to the ambiguity that results from the compression of a 3D scene into only 2…
Monocular Depth Estimation Using Cues Inspired by Biological Vision Systems
Dylan Auty, Krystian Mikolajczyk
Monocular depth estimation (MDE) aims to transform an RGB image of a scene into a pixelwise depth map from the same camera view. It is fundamentally ill-posed due to missing inform…
Grasp-Oriented Fine-grained Cloth Segmentation without Real Supervision
Ruijie Ren, Mohit Gurnani Rajesh, Jordi Sanchez-Riera +6
Automatically detecting graspable regions from a single depth image is a key ingredient in cloth manipulation. The large variability of cloth deformations has motivated most of the…
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…
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…