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Home/Authors/Mattia Segu

Mattia Segu

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 14, 2026, 11:22 PM AMS

12

papers

848

total citations

papers (12)

UniDepth: Universal Monocular Metric Depth Estimation

SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation

Generative Cooperative Learning for Unsupervised Video Anomaly Detection

Matching Anything by Segmenting Anything

UniK3D: Universal Camera Monocular 3D Estimation

DARTH: Holistic Test-time Adaptation for Multiple Object Tracking

Samba: Synchronized Set-of-Sequences Modeling for Multiple Object Tracking

Know Your Neighbors: Improving Single-View Reconstruction via Spatial Vision-Language Reasoning

SLAck: Semantic, Location, and Appearance Aware Open-Vocabulary Tracking

Semantic Library Adaptation: LoRA Retrieval and Fusion for Open-Vocabulary Semantic Segmentation

3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection

MOBIUS: Big-to-Mobile Universal Instance Segmentation via Multi-modal Bottleneck Fusion and Calibrated Decoder Pruning