20 citations · 83 across the 15 of their papers we have counts for
15 papers
ForestMamba: Sparse Mamba with Geometry-guided Queries for 3D Forest Point Cloud Segmentation
Trung Thanh Nguyen, Tuan-Anh Vu, Duc Viet Le +4
Semantic and instance segmentation of terrestrial and drone LiDAR point clouds is emerging as a transformative approach for converting the complex 3D structure of forests into acti…
Small Object Detection for Birds with Swin Transformer
Da Huo, Marc A. Kastner, Tingwei Liu +4
Object detection is the task of detecting objects in an image. In this task, the detection of small objects is particularly difficult. Other than the small size, it is also accompa…
Action Selection Learning for Multi-label Multi-view Action Recognition
Trung Thanh Nguyen, Yasutomo Kawanishi, Takahiro Komamizu +1
Multi-label multi-view action recognition aims to recognize multiple concurrent or sequential actions from untrimmed videos captured by multiple cameras. Existing work has focused…
Tracking Small Birds by Detection Candidate Region Filtering and Detection History-aware Association
Tingwei Liu, Yasutomo Kawanishi, Takahiro Komamizu +1
This paper focuses on tracking birds that appear small in a panoramic video. When the size of the tracked object is small in the image (small object tracking) and move quickly, obj…
One-Stage Open-Vocabulary Temporal Action Detection Leveraging Temporal Multi-scale and Action Label Features
Trung Thanh Nguyen, Yasutomo Kawanishi, Takahiro Komamizu +1
Open-vocabulary Temporal Action Detection (Open-vocab TAD) is an advanced video analysis approach that expands Closed-vocabulary Temporal Action Detection (Closed-vocab TAD) capabi…
Multi-View Video-Based Learning: Leveraging Weak Labels for Frame-Level Perception
Vijay John, Yasutomo Kawanishi
For training a video-based action recognition model that accepts multi-view video, annotating frame-level labels is tedious and difficult. However, it is relatively easy to annotat…
Predicting reliable H column density maps from molecular line data using machine learning
Yoshito Shimajiri, Yasutomo Kawanishi, Shinji Fujita +13
The total mass estimate of molecular clouds suffers from the uncertainty in the H-CO conversion factor, the so-called factor, which is used to convert the C…
MVA2023 Small Object Detection Challenge for Spotting Birds: Dataset, Methods, and Results
Yuki Kondo, Norimichi Ukita, Takayuki Yamaguchi +19
Small Object Detection (SOD) is an important machine vision topic because (i) a variety of real-world applications require object detection for distant objects and (ii) SOD is a ch…
DeePoint: Visual Pointing Recognition and Direction Estimation
Shu Nakamura, Yasutomo Kawanishi, Shohei Nobuhara +1
In this paper, we realize automatic visual recognition and direction estimation of pointing. We introduce the first neural pointing understanding method based on two key contributi…
IPA-CLIP: Integrating Phonetic Priors into Vision and Language Pretraining
Chihaya Matsuhira, Marc A. Kastner, Takahiro Komamizu +4
Recently, large-scale Vision and Language (V\&L) pretraining has become the standard backbone of many multimedia systems. While it has shown remarkable performance even in unseen s…
Distance determination of molecular clouds in the 1st quadrant of the Galactic plane using deep learning : I. Method and Results
Shinji Fujita, A. M. Ito, Yusuke Miyamoto +15
Machine learning has been successfully applied in varied field but whether it is a viable tool for determining the distance to molecular clouds in the Galaxy is an open question. I…
A Multimodal Sensor Fusion Framework Robust to Missing Modalities for Person Recognition
Vijay John, Yasutomo Kawanishi
Utilizing the sensor characteristics of the audio, visible camera, and thermal camera, the robustness of person recognition can be enhanced. Existing multimodal person recognition…
What Should the System Do Next?: Operative Action Captioning for Estimating System Actions
Taiki Nakamura, Seiya Kawano, Akishige Yuguchi +2
Such human-assisting systems as robots need to correctly understand the surrounding situation based on observations and output the required support actions for humans. Language is…
SDOF-Tracker: Fast and Accurate Multiple Human Tracking by Skipped-Detection and Optical-Flow
Hitoshi Nishimura, Satoshi Komorita, Yasutomo Kawanishi +1
Multiple human tracking is a fundamental problem for scene understanding. Although both accuracy and speed are required in real-world applications, recent tracking methods based on…
Multiple Human Tracking using Multi-Cues including Primitive Action Features
Hitoshi Nishimura, Kazuyuki Tasaka, Yasutomo Kawanishi +1
In this paper, we propose a Multiple Human Tracking method using multi-cues including Primitive Action Features (MHT-PAF). MHT-PAF can perform the accurate human tracking in dynami…