429 citations · 880 across the 60 of their papers we have counts for
7 papers · 1 filter
Beyond SOT: Tracking Multiple Generic Objects at Once
Christoph Mayer, Martin Danelljan, Ming-Hsuan Yang +3
Generic Object Tracking (GOT) is the problem of tracking target objects, specified by bounding boxes in the first frame of a video. While the task has received much attention in th…
From colouring-in to pointillism: revisiting semantic segmentation supervision
Rodrigo Benenson, Vittorio Ferrari
The prevailing paradigm for producing semantic segmentation training data relies on densely labelling each pixel of each image in the training set, akin to colouring-in books. This…
Multi-View Photometric Stereo Revisited
Berk Kaya, Suryansh Kumar, Carlos Oliveira +2
Multi-view photometric stereo (MVPS) is a preferred method for detailed and precise 3D acquisition of an object from images. Although popular methods for MVPS can provide outstandi…
The Missing Link: Finding label relations across datasets
Jasper Uijlings, Thomas Mensink, Vittorio Ferrari
Computer vision is driven by the many datasets available for training or evaluating novel methods. However, each dataset has a different set of class labels, visual definition of c…
How stable are Transferability Metrics evaluations?
Andrea Agostinelli, Michal Pándy, Jasper Uijlings +2
Transferability metrics is a maturing field with increasing interest, which aims at providing heuristics for selecting the most suitable source models to transfer to a given target…
Uncertainty-Aware Deep Multi-View Photometric Stereo
Berk Kaya, Suryansh Kumar, Carlos Oliveira +2
This paper presents a simple and effective solution to the longstanding classical multi-view photometric stereo (MVPS) problem. It is well-known that photometric stereo (PS) is exc…