361 citations · 944 across the 48 of their papers we have counts for
7 papers · 1 filter
DMCL: Distillation Multiple Choice Learning for Multimodal Action Recognition
Nuno C. Garcia, Sarah Adel Bargal, Vitaly Ablavsky +3
In this work, we address the problem of learning an ensemble of specialist networks using multimodal data, while considering the realistic and challenging scenario of possible miss…
Aggregation Signature for Small Object Tracking
Chunlei Liu, Wenrui Ding, Jinyu Yang +4
Small object tracking becomes an increasingly important task, which however has been largely unexplored in computer vision. The great challenges stem from the facts that: 1) small…
Unsupervised Domain-Adaptive Person Re-identification Based on Attributes
Xiangping Zhu, Pietro Morerio, Vittorio Murino
Pedestrian attributes, e.g., hair length, clothes type and color, locally describe the semantic appearance of a person. Training person re-identification (ReID) algorithms under th…
Intra-Camera Supervised Person Re-Identification: A New Benchmark
Xiangping Zhu, Xiatian Zhu, Minxian Li +2
Existing person re-identification (re-id) methods rely mostly on a large set of inter-camera identity labelled training data, requiring a tedious data collection and annotation pro…
Audio-Visual Model Distillation Using Acoustic Images
Andrés F. Pérez, Valentina Sanguineti, Pietro Morerio +1
In this paper, we investigate how to learn rich and robust feature representations for audio classification from visual data and acoustic images, a novel audio data modality. Forme…
Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets
Riccardo Volpi, Vittorio Murino
We are concerned with the vulnerability of computer vision models to distributional shifts. We formulate a combinatorial optimization problem that allows evaluating the regions in…