Google Research

Kolmogorov Arnold Networks

Companion webpage to the book "Mathematics For Machine Learning"

Code release for NeRF (Neural Radiance Fields)

PyTorch code and models for the DINOv2 self-supervised learning method.

Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)

A collection of infrastructure and tools for research in neural network interpretability.

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.

Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021, T-PAMI 2022

Metric depth estimation from a single image

1st place solution

D2-Net: A Trainable CNN for Joint Description and Detection of Local Features

Food Classification with Deep Learning in Keras / Tensorflow

Self-Supervised Learning of 3D Human Pose using Multi-view Geometry (CVPR2019)

Repository for code used in my blog posts

Local Invariance Selection at Runtime for Descriptors (LISRD)

Deep Declarative Networks

Baselines for the Image Matching Benchmark and Challenge

Super-Resolution of Sentinel-2 Images: Learning a Globally Applicable Deep Neural Network

A Smooth Representation of SO(3) for Deep Rotation Learning with Uncertainty.

Official implementation of VaxNeRF (Voxel-Accelearated NeRF).

Some computer vision tutorials for my articles

Graph signal processing tutorial, presented at the GraphSiP summer school.

3D Object Recognition with Deep Networks Project for 3D Vision - ETHZ

Public repository for CIL

Structure from Motion in Python

Trading Positional Complexity vs Deepness in Coordinate Networks

Learning and Processing over Networks workshop AMLD 2019