Mahdi Elhousni

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Distance Transform Pooling Neural Network for LiDAR Depth Completion. IEEE Trans. Neural Networks Learn. Syst. Yiming Zhao, Mahdi Elhousni, Ziming Zhang, Xinming Huang
2022	J	`jnl`	A Survey on Visual Map Localization Using LiDARs and Cameras. CoRR Mahdi Elhousni, Xinming Huang
2022	J	`jnl`	LiDAR-OSM-Based Vehicle Localization in GPS-Denied Environments by Using Constrained Particle Filter. Sensors Mahdi Elhousni, Ziming Zhang, Xinming Huang
2021	J	`jnl`	Height Prediction and Refinement From Aerial Images With Semantic and Geometric Guidance. IEEE Access Mahdi Elhousni, Ziming Zhang, Xinming Huang
2020	C	`conf`	A Survey on 3D LiDAR Localization for Autonomous Vehicles. IV Mahdi Elhousni, Xinming Huang
2020	A*	`conf`	Automatic Building and Labeling of HD Maps with Deep Learning. AAAI Mahdi Elhousni, Yecheng Lyu, Ziming Zhang, Xinming Huang
2020	J	`jnl`	Automatic Building and Labeling of HD Maps with Deep Learning. CoRR Mahdi Elhousni, Yecheng Lyu, Ziming Zhang, Xinming Huang
2020	J	`jnl`	DepthNet: Real-Time LiDAR Point Cloud Depth Completion for Autonomous Vehicles. IEEE Access Lin Bai, Yiming Zhao, Mahdi Elhousni, Xinming Huang
2020	J	`jnl`	Height Prediction and Refinement from Aerial Images with Semantic and Geometric Guidance. CoRR Mahdi Elhousni, Xinming Huang, Ziming Zhang
2020	C	`conf`	Pedestrian Tracking with Gated Recurrent Units and Attention Mechanisms. ISCAS Mahdi Elhousni, Xinming Huang
2020	J	`jnl`	Pedestrian Tracking with Gated Recurrent Units and Attention Mechanisms. CoRR Mahdi Elhousni, Xinming Huang
2020	J	`jnl`	Review on 3D Lidar Localization for Autonomous Driving Cars. CoRR Mahdi Elhousni, Xinming Huang
2019	—	`conf`	An Interactive LiDAR to Camera Calibration. HPEC Yecheng Lyu, Lin Bai, Mahdi Elhousni, Xinming Huang

[tool.black]
line-length = 120
target-version = ['py38']
include = '\.pyi?$'
extend-exclude = '''
/(
  # directories
  \.eggs
  | \.git
  | \.hg
  | \.mypy_cache
  | \.tox
  | \.venv
  | build
  | dist
  | venv
)/
'''

[tool.isort]
profile = "black"
line_length = 120
multi_line_output = 3
include_trailing_comma = true
force_grid_wrap = 0
use_parentheses = true
ensure_newline_before_comments = true

[tool.flake8]
max-line-length = 120
ignore = ["E501", "W503", "E203", "F401"]
exclude = [
    "__pycache__",
    ".git",
    "venv",
    "build",
    "dist",
    "*.egg-info",
]

[tool.pylint.messages_control]
disable = [
    "C0114",  # missing-module-docstring
    "C0115",  # missing-class-docstring
    "C0116",  # missing-function-docstring
    "C0103",  # invalid-name
    "R0903",  # too-few-public-methods
    "R0913",  # too-many-arguments
    "R0914",  # too-many-locals
    "R0915",  # too-many-statements
]

[tool.pylint.format]
max-line-length = 120

# ============================================================================
# Pytest Configuration
# ============================================================================
[tool.pytest.ini_options]
testpaths = ["tests/unit", "tests/integration"]
python_files = ["test_*.py"]
python_classes = ["Test*"]
python_functions = ["test_*"]

# Default options: verbose, show locals on failure, strict markers
addopts = [
    "-v",
    "--strict-markers",
    "--tb=short",
]

# Custom markers for selective test execution
markers = [
    "unit: Pure unit tests - no external deps, no disk I/O, fast (< 1s each)",
    "integration: Integration tests - use real test binaries on disk",
    "slow: Tests that take > 5s (e.g. entropy on large files, full extraction pipelines)",
    "pe: Tests specific to PE binary analysis",
    "elf: Tests specific to ELF binary analysis",
    "macho: Tests specific to Mach-O binary analysis",
    "apk: Tests specific to APK binary analysis",
    "exporters: Tests for database exporters (ClickHouse, Elasticsearch, Print)",
    "dataclass: Tests for dataclass construction and field validation",
    "binja: Tests for Binary Ninja decompiler extractors (mocked, no license needed)",
]