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Markus Gross

4 papers hereh-index 259 citations5 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.RO1
same name
  • Markus Gross — 11 papers, h 6
  • Markus Gross — 3 papers, h 6
  • Markus Gross — 2 papers, h 2
  • Markus Gross — 2 papers, h 2
  • Markus Gross — 2 papers, h 2
  • Markus Gross — 1 paper, h 5

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

EnerGS: Energy-Based Gaussian Splatting with Partial Geometric Priors

Rui Song, Tianhui Cai, Markus Gross +5

3D Gaussian Splatting (3DGS) has been widely adopted for scene reconstruction, where training inherently constitutes a highly coupled and non-convex optimization problem. Recent wo…

cs.CV2026

SegFly: A Dataset and 2D-3D-2D Paradigm for Aerial RGB-Thermal Semantic Segmentation at Scale

Markus Gross, Sai Bharadhwaj Matha, Rui Song +4

Semantic segmentation for uncrewed aerial vehicles (UAVs) is fundamental for aerial scene understanding, yet existing RGB and RGB-T datasets remain limited in scale, diversity, and…

cs.CV2025

OccuFly: A 3D Vision Benchmark for Semantic Scene Completion from the Aerial Perspective

Markus Gross, Sai B. Matha, Aya Fahmy +3

Semantic Scene Completion (SSC) is essential for 3D perception in mobile robotics, as it enables holistic scene understanding by jointly estimating dense volumetric occupancy and p…

cs.CV2024

Collaborative Semantic Occupancy Prediction with Hybrid Feature Fusion in Connected Automated Vehicles

Rui Song, Chenwei Liang, Hu Cao +5

Collaborative perception in automated vehicles leverages the exchange of information between agents, aiming to elevate perception results. Previous camera-based collaborative 3D pe…

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