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Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models

Code repository for "TrackEverything: Long Horizon Dense Tracking via De-Duplicating 3D Scene Representations"

  • 3d-point-tracking
  • point-tracking

Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving

  • semantic-segmentation
  • lidar
  • semantickitti
  • 3d-lidar-data

Official implementation of “UniForge3D: Joint 3D Reconstruction and Generation in a Shared Anchor-Guided Space.”

A 3D vision library from 2D keypoints: monocular and stereo 3D detection for humans, social distancing, and body orientation.

  • 3d-object-detection
  • 3d-detection
  • 3d-deep-learning
  • pytorch

Build AI text detectors whose decisions are mechanistically grounded and human-auditable (EMNLP 2026)

  • ai-text-detection
  • explainable-ai
  • interpretability
  • mechanistic-interpretability

Code and Pretrained Models for Interspeech 2023 Paper "Whisper-AT: Noise-Robust Automatic Speech Recognizers are Also Strong Audio Event Taggers"

  • audio
  • audio-classification
  • audio-processing
  • audio-tagging