17 citations · 22 across the 6 of their papers we have counts for
9 papers
A Flow-Guided Mutual Attention Network for Video-Based Person Re-Identification
Madhu Kiran, Amran Bhuiyan, Louis-Antoine Blais-Morin +3
Person Re-Identification (ReID) is a challenging problem in many video analytics and surveillance applications, where a person's identity must be associated across a distributed no…
Joint Progressive Knowledge Distillation and Unsupervised Domain Adaptation
Le Thanh Nguyen-Meidine, Eric Granger, Madhu Kiran +2
Currently, the divergence in distributions of design and operational data, and large computational complexity are limiting factors in the adoption of CNNs in real-world application…
Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision
Hoel Kervadec, Jose Dolz, Shanshan Wang +2
We propose a novel weakly supervised learning segmentation based on several global constraints derived from box annotations. Particularly, we leverage a classical tightness prior t…
Dual-Triplet Metric Learning for Unsupervised Domain Adaptation in Video-Based Face Recognition
George Ekladious, Hugo Lemoine, Eric Granger +2
The scalability and complexity of deep learning models remains a key issue in many of visual recognition applications like, e.g., video surveillance, where fine tuning with labeled…
Non-parametric Uni-modality Constraints for Deep Ordinal Classification
Soufiane Belharbi, Ismail Ben Ayed, Luke McCaffrey +1
We propose a new constrained-optimization formulation for deep ordinal classification, in which uni-modality of the label distribution is enforced implicitly via a set of inequalit…
On the Interaction Between Deep Detectors and Siamese Trackers in Video Surveillance
Madhu Kiran, Vivek Tiwari, Le Thanh Nguyen-Meidine +1
Visual object tracking is an important function in many real-time video surveillance applications, such as localization and spatio-temporal recognition of persons. In real-world ap…