18 citations · 34 across the 4 of their papers we have counts for
6 papers
Query-Guided Networks for Few-shot Fine-grained Classification and Person Search
Bharti Munjal, Alessandro Flaborea, Sikandar Amin +2
Few-shot fine-grained classification and person search appear as distinct tasks and literature has treated them separately. But a closer look unveils important similarities: both t…
Class Interference Regularization
Bharti Munjal, Sikandar Amin, Fabio Galasso
Contrastive losses yield state-of-the-art performance for person re-identification, face verification and few shot learning. They have recently outperformed the cross-entropy loss…
Joint Detection and Tracking in Videos with Identification Features
Bharti Munjal, Abdul Rafey Aftab, Sikandar Amin +3
Recent works have shown that combining object detection and tracking tasks, in the case of video data, results in higher performance for both tasks, but they require a high frame-r…
Knowledge Distillation for End-to-End Person Search
Bharti Munjal, Fabio Galasso, Sikandar Amin
We introduce knowledge distillation for end-to-end person search. End-to-End methods are the current state-of-the-art for person search that solve both detection and re-identificat…
Query-guided End-to-End Person Search
Bharti Munjal, Sikandar Amin, Federico Tombari +1
Person search has recently gained attention as the novel task of finding a person, provided as a cropped sample, from a gallery of non-cropped images, whereby several other people…
Forecasting People Trajectories and Head Poses by Jointly Reasoning on Tracklets and Vislets
Irtiza Hasan, Francesco Setti, Theodore Tsesmelis +5
In this work, we explore the correlation between people trajectories and their head orientations. We argue that people trajectory and head pose forecasting can be modelled as a joi…