Code for "Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors." (ICLR 2021)

[ICRA 2023] Uncertainty Quantification of Collaborative Detection for Self-Driving

👋 Xplique is a Neural Networks Explainability Toolbox

[CVPR 2024] Official RT-DETR (RTDETR paddle pytorch), Real-Time DEtection TRansformer, DETRs Beat YOLOs on Real-time Object Detection. 🔥 🔥 🔥

ECCV22: RFLA

Official code for "A Normalized Gaussian Wasserstein Distance for Tiny Object Detection"

Multi-Omics Factor Analysis

Deep neural network kernel for Gaussian process

EigenGP: Gaussian process models with adaptive eigenfunctions

Nonnegative spatial factorization for multivariate count data

👋 Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)

Fast and memory-efficient exact attention

An implementation of the Functional Map framework for finding correspondences between Meshes, Images or Graphs.

Deep Feature Factorization

Network Dissection http://netdissect.csail.mit.edu for quantifying interpretability of deep CNNs.

AutoCoT

Computing topological cavities of deep neural networks

A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation (ICCV 2021)

FeatureBooster: Boosting Feature Descriptors with a Lightweight Neural Network (CVPR 2023)

Official implementation for the paper "Deep ViT Features as Dense Visual Descriptors".

Pytorch code for "DPFM: Deep Partial Functional Maps" - 3DV 2021 (Oral)

Learning Multi-resolution Functional Maps with Spectral Attention for Robust Shape Matching (NeurIPS 2022)

ECCV22: Unsupervised Deep Multi-Shape Matching

Official Implementation of paper "A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence"

[NeurIPS'23] Emergent Correspondence from Image Diffusion

Unsupervised Semantic Correspondence Using Stable Diffusion