18 citations · 44 across the 7 of their papers we have counts for
7 papers · 1 filter
Towards Precise Action Spotting: Addressing Temporal Misalignment in Labels with Dynamic Label Assignment
Masato Tamura
Precise action spotting has attracted considerable attention due to its promising applications. While existing methods achieve substantial performance by employing well-designed mo…
Design and Analysis of Efficient Attention in Transformers for Social Group Activity Recognition
Masato Tamura
Social group activity recognition is a challenging task extended from group activity recognition, where social groups must be recognized with their activities and group members. Ex…
Random Word Data Augmentation with CLIP for Zero-Shot Anomaly Detection
Masato Tamura
This paper presents a novel method that leverages a visual-language model, CLIP, as a data source for zero-shot anomaly detection. Tremendous efforts have been put towards developi…
Hunting Group Clues with Transformers for Social Group Activity Recognition
Masato Tamura, Rahul Vishwakarma, Ravigopal Vennelakanti
This paper presents a novel framework for social group activity recognition. As an expanded task of group activity recognition, social group activity recognition requires recognizi…
Segmentation-Based Bounding Box Generation for Omnidirectional Pedestrian Detection
Masato Tamura, Tomoaki Yoshinaga
We propose a segmentation-based bounding box generation method for omnidirectional pedestrian detection that enables detectors to tightly fit bounding boxes to pedestrians without…
QPIC: Query-Based Pairwise Human-Object Interaction Detection with Image-Wide Contextual Information
Masato Tamura, Hiroki Ohashi, Tomoaki Yoshinaga
We propose a simple, intuitive yet powerful method for human-object interaction (HOI) detection. HOIs are so diverse in spatial distribution in an image that existing CNN-based met…
Augmented Hard Example Mining for Generalizable Person Re-Identification
Masato Tamura, Tomokazu Murakami
Although the performance of person re-identification (Re-ID) has been much improved by using sophisticated training methods and large-scale labelled datasets, many existing methods…