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Found 10 papers, 2 papers with code
Query-guided End-to-End Person Search
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.
Recognizing Fine-Grained and Composite Activities using Hand-Centric Features and Script Data
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.
Coherent Multi-Sentence Video Description with Variable Level of Detail
Humans can easily describe what they see in a coherent way and at varying level of detail.
Forecasting People Trajectories and Head Poses by Jointly Reasoning on Tracklets and Vislets
In this work, we explore the correlation between people trajectories and their head orientations.
3D Pictorial Structures for Multiple Human Pose Estimation
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
Knowledge Distillation for End-to-End Person Search
We employ this to supervise the detector of our person search model at various levels using a specialized detector.
Joint Detection and Tracking in Videos with Identification Features
Notably, our joint optimization maintains the detector performance, a typical multi-task challenge.
Class Interference Regularization
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.
3D Pictorial Structures Revisited: Multiple Human Pose Estimation
We address the problem of 3D pose estimation of multiple humans from multiple views.
Ranked #15 on
3D Multi-Person Pose Estimation
on Campus
Query-Guided Networks for Few-shot Fine-grained Classification and Person Search
Few-shot fine-grained classification and person search appear as distinct tasks and literature has treated them separately.
