no code implementations • 21 Sep 2022 • Bharti Munjal, Alessandro Flaborea, Sikandar Amin, Federico Tombari, Fabio Galasso
Few-shot fine-grained classification and person search appear as distinct tasks and literature has treated them separately.
no code implementations • 4 Sep 2020 • Bharti Munjal, Sikandar Amin, Fabio Galasso
In experimental evaluation, the combination of CIR and a plain Siamese-net with triplet loss yields best few-shot learning performance on the challenging tieredImageNet.
no code implementations • 21 May 2020 • Bharti Munjal, Abdul Rafey Aftab, Sikandar Amin, Meltem D. Brandlmaier, Federico Tombari, Fabio Galasso
Notably, our joint optimization maintains the detector performance, a typical multi-task challenge.
1 code implementation • 3 Sep 2019 • Bharti Munjal, Fabio Galasso, Sikandar Amin
We employ this to supervise the detector of our person search model at various levels using a specialized detector.
1 code implementation • CVPR 2019 • Bharti Munjal, Sikandar Amin, Federico Tombari, Fabio Galasso
We extend this with i. a query-guided Siamese squeeze-and-excitation network (QSSE-Net) that uses global context from both the query and gallery images, ii.
no code implementations • 7 Jan 2019 • Irtiza Hasan, Francesco Setti, Theodore Tsesmelis, Vasileios Belagiannis, Sikandar Amin, Alessio Del Bue, Marco Cristani, Fabio Galasso
In this work, we explore the correlation between people trajectories and their head orientations.
no code implementations • 1 Oct 2016 • Vasileios Belagiannis, Sikandar Amin, Mykhaylo Andriluka, Bernt Schiele, Nassir Navab, Slobodan Ilic
We address the problem of 3D pose estimation of multiple humans from multiple views.
Ranked #15 on 3D Multi-Person Pose Estimation on Campus
no code implementations • 23 Feb 2015 • Marcus Rohrbach, Anna Rohrbach, Michaela Regneri, Sikandar Amin, Mykhaylo Andriluka, Manfred Pinkal, Bernt Schiele
To attack the second challenge, recognizing composite activities, we leverage the fact that these activities are compositional and that the essential components of the activities can be obtained from textual descriptions or scripts.
no code implementations • CVPR 2014 • Vasileios Belagiannis, Sikandar Amin, Mykhaylo Andriluka, Bernt Schiele, Nassir Navab, Slobodan Ilic
In this work, we address the problem of 3D pose estimation of multiple humans from multiple views.
Ranked #24 on 3D Multi-Person Pose Estimation on Shelf
no code implementations • 24 Mar 2014 • Anna Senina, Marcus Rohrbach, Wei Qiu, Annemarie Friedrich, Sikandar Amin, Mykhaylo Andriluka, Manfred Pinkal, Bernt Schiele
Humans can easily describe what they see in a coherent way and at varying level of detail.