Andreas Geiger Courses

Constraining 3D Fields for Reconstruction and View Synthesis

Explore advanced techniques in 3D field reconstruction and view synthesis, covering RegNeRF, MonoSDF, and TensoRF for improved neural rendering and geometric representation in computer vision.

• YouTube
• 27 minutes
• On-Demand
• Free Video

Learning Robust Policies for Self-Driving

Explore robust policies for self-driving vehicles, covering TransFuser for sensor fusion, PlanT for learned planning, and KING for identifying critical scenarios in autonomous driving.

• YouTube
• 30 minutes
• On-Demand
• Free Video

Driving with Attention

Explore innovative sensor fusion techniques for autonomous driving, focusing on TransFuser and NEAT models that leverage attention mechanisms to improve perception and decision-making in complex traffic scenarios.

• YouTube
• 33 minutes
• On-Demand
• Free Video

Towards Animatable Human Avatars

Explore cutting-edge techniques for creating animatable human avatars using neural implicit shapes and meta-learning approaches, with applications in computer vision and graphics.

• YouTube
• 28 minutes
• On-Demand
• Free Video

Segmenting and Tracking Every Pixel

Explore video panoptic segmentation with STEP datasets, focusing on real-world challenges in pixel-precise segmentation and tracking. Learn about new evaluation metrics and baseline methods.

• YouTube
• 34 minutes
• On-Demand
• Free Video

Generative Neural Scene Representations for 3D-Aware Image Synthesis

Explore 3D-aware image synthesis using generative neural scene representations, covering GRAF, GIRAFFE, and CAMPARI models for advanced computer vision applications.

• YouTube
• 26 minutes
• On-Demand
• Free Video

KITTI-360 - A Novel Dataset and Benchmarks for Urban Scene Understanding in 2D and 3D

Comprehensive dataset and benchmarks for urban scene understanding, combining computer vision, graphics, and robotics to advance autonomous driving technology.

• YouTube
• 23 minutes
• On-Demand
• Free Video

Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding

Explore unsupervised disentanglement of factors in natural videos using SlowVAE. Learn about temporal sparse coding, identifiability proof, and performance on benchmark datasets including new natural dynamics benchmarks.

• YouTube
• 52 minutes
• On-Demand
• Free Video

Appearance Acquisition for Digital 3D Content Creation

Explore advanced techniques for digital 3D content creation, including texture recovery, mesh reconstruction, and volumetric representation, using machine learning and computer vision approaches.

• YouTube
• 51 minutes
• On-Demand
• Free Video

Physically-Motivated Learning of Shape, Material and Lighting in Complex Scenes

Explores physically-motivated learning for shape, material, and lighting recovery in complex scenes using differentiable rendering layers and parsimonious representations, enabling augmented reality applications with single or few images.

• YouTube
• 51 minutes
• On-Demand
• Free Video

Keynote: Ross Girshick - Robustness Across the Data Abundance Spectrum

Explore robustness in computer vision across data abundance scenarios, addressing benchmarking challenges and efficient learning for diverse object categories using federated dataset design.

• YouTube
• 28 minutes
• On-Demand
• Free Video

Implicit Neural Scene Representations

Explore implicit neural representations for complex signals, enabling 3D reconstruction from single images and fast inference through gradient-based meta-learning, with applications in scene understanding and semantic segmentation.

• YouTube
• 57 minutes
• On-Demand
• Free Video

Neural Radiance Fields for View Synthesis

Explore neural radiance fields for view synthesis, combining coordinate-based neural representations with volumetric rendering to achieve state-of-the-art results in synthesizing novel views of complex scenes.

• YouTube
• 49 minutes
• On-Demand
• Free Video

Andrea Tagliasacchi: Structured Representations for 3D Computer Vision

Explore structured 3D representations for computer vision, covering scene analysis, digital humans, and hybrid geometry models. Gain insights into advanced techniques for 3D understanding and reconstruction.

• YouTube
• 49 minutes
• On-Demand
• Free Video

Unmasking the Inductive Biases of Unsupervised Object Representations for Video Sequences

Explore unsupervised object-centric learning approaches for video sequences, comparing perceptual abilities in detection, segmentation, and tracking using a benchmark dataset of procedurally generated videos.

• YouTube
• 49 minutes
• On-Demand
• Free Video