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20232026
most citedSentence Bag Graph Formulation for Biomedical Distant Supervision Relation Extraction

2 citations · 2 across the 12 of their papers we have counts for

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6 papers · 1 filter

cs.CV2025

TubeRMC: Tube-conditioned Reconstruction with Mutual Constraints for Weakly-supervised Spatio-Temporal Video Grounding

Jinxuan Li, Yi Zhang, Jian-Fang Hu +3

Spatio-Temporal Video Grounding (STVG) aims to localize a spatio-temporal tube that corresponds to a given language query in an untrimmed video. This is a challenging task since it…

cs.CV2025

CoopDiff: Anticipating 3D Human-object Interactions via Contact-consistent Decoupled Diffusion

Xiaotong Lin, Tianming Liang, Jian-Fang Hu +5

3D human-object interaction (HOI) anticipation aims to predict the future motion of humans and their manipulated objects, conditioned on the historical context. Generally, the arti…

cs.CV2025

Long-RVOS: A Comprehensive Benchmark for Long-term Referring Video Object Segmentation

Tianming Liang, Haichao Jiang, Yuting Yang +4

Referring video object segmentation (RVOS) aims to identify, track and segment the objects in a video based on language descriptions, which has received great attention in recent y…

cs.CV2025

PVUW 2025 Challenge Report: Advances in Pixel-level Understanding of Complex Videos in the Wild

Henghui Ding, Chang Liu, Nikhila Ravi +33

This report provides a comprehensive overview of the 4th Pixel-level Video Understanding in the Wild (PVUW) Challenge, held in conjunction with CVPR 2025. It summarizes the challen…

cs.CV2025

ReferDINO-Plus: 2nd Solution for 4th PVUW MeViS Challenge at CVPR 2025

Tianming Liang, Haichao Jiang, Wei-Shi Zheng +1

Referring Video Object Segmentation (RVOS) aims to segment target objects throughout a video based on a text description. This task has attracted increasing attention in the field…

cs.CV2025

ReferDINO: Referring Video Object Segmentation with Visual Grounding Foundations

Tianming Liang, Kun-Yu Lin, Chaolei Tan +3

Referring video object segmentation (RVOS) aims to segment target objects throughout a video based on a text description. This is challenging as it involves deep vision-language un…