11 citations · 21 across the 3 of their papers we have counts for
5 papers
Going Deeper into Semi-supervised Person Re-identification
Olga Moskvyak, Frederic Maire, Feras Dayoub +1
Person re-identification is the challenging task of identifying a person across different camera views. Training a convolutional neural network (CNN) for this task requires annotat…
Semi-supervised Keypoint Localization
Olga Moskvyak, Frederic Maire, Feras Dayoub +1
Knowledge about the locations of keypoints of an object in an image can assist in fine-grained classification and identification tasks, particularly for the case of objects that ex…
Keypoint-Aligned Embeddings for Image Retrieval and Re-identification
Olga Moskvyak, Frederic Maire, Feras Dayoub +1
Learning embeddings that are invariant to the pose of the object is crucial in visual image retrieval and re-identification. The existing approaches for person, vehicle, or animal…
Learning landmark guided embeddings for animal re-identification
Olga Moskvyak, Frederic Maire, Feras Dayoub +1
Re-identification of individual animals in images can be ambiguous due to subtle variations in body markings between different individuals and no constraints on the poses of animal…
Robust Re-identification of Manta Rays from Natural Markings by Learning Pose Invariant Embeddings
Olga Moskvyak, Frederic Maire, Asia O. Armstrong +2
Visual identification of individual animals that bear unique natural body markings is an important task in wildlife conservation. The photo databases of animal markings grow larger…