9 citations · 12 across the 14 of their papers we have counts for
11 papers · 1 filter
SelectAnyTree: A Promptable Instance Segmentation Model for 3D Forest LiDAR Point Clouds
Trung Thanh Nguyen, Daniel Lusk, Kilian Gerberding +10
Instance segmentation of trees in forest LiDAR point clouds is constrained by label scarcity: A single hectare holds millions of points and hundreds of overlapping tree crowns, mak…
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…
Multi-proposal Collaboration and Multi-task Training for Weakly-supervised Video Moment Retrieval
Bolin Zhang, Chao Yang, Bin Jiang +2
This study focuses on weakly-supervised Video Moment Retrieval (VMR), aiming to identify a moment semantically similar to the given query within an untrimmed video using only video…
Static and Dynamic Graph Alignment Network for Temporal Video Grounding
Zhanjie Hu, Bolin Zhang, Jianhua Wang +5
Temporal Video Grounding (TVG) aims to localize temporal moments in an untrimmed video that semantically correspond to given natural language queries. Recently, Graph Convolutional…
View-aware Cross-modal Distillation for Multi-view Action Recognition
Trung Thanh Nguyen, Yasutomo Kawanishi, Vijay John +2
The widespread use of multi-sensor systems has increased research in multi-view action recognition. While existing approaches in multi-view setups with fully overlapping sensors be…
Q-Adapter: Visual Query Adapter for Extracting Textually-related Features in Video Captioning
Junan Chen, Trung Thanh Nguyen, Takahiro Komamizu +1
Recent advances in video captioning are driven by large-scale pretrained models, which follow the standard "pre-training followed by fine-tuning" paradigm, where the full model is…
MultiSensor-Home: A Wide-area Multi-modal Multi-view Dataset for Action Recognition and Transformer-based Sensor Fusion
Trung Thanh Nguyen, Yasutomo Kawanishi, Vijay John +2
Multi-modal multi-view action recognition is a rapidly growing field in computer vision, offering significant potential for applications in surveillance. However, current datasets…
MultiTSF: Transformer-based Sensor Fusion for Human-Centric Multi-view and Multi-modal Action Recognition
Trung Thanh Nguyen, Yasutomo Kawanishi, Vijay John +2
Action recognition from multi-modal and multi-view observations holds significant potential for applications in surveillance, robotics, and smart environments. However, existing me…
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…