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20242026
most citedMulti-proposal Collaboration and Multi-task Training for Weakly-supervised Video Moment Retrieval

1 citations · 1 across the 6 of their papers we have counts for

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cs.CV2026

SelectAnyTree: A Promptable Instance Segmentation Model for 3D Forest LiDAR Point Clouds

Trung Thanh Nguyen, Daniel Lusk, Kilian Gerberding +10

Automated instance segmentation of forest LiDAR point clouds is increasingly critical as forest monitoring moves toward scalable, detailed, 3D measurement. Yet, progress is constra…

cs.CV2026

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…

cs.CV20261 cited

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…

cs.CV2026

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…

cs.CV2025

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…

cs.CV2025

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…