👨 Code for "Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression"

R-FCN: Object Detection via Region-based Fully Convolutional Networks

Memory consumption and FLOP count estimates for convnets

Matlab toolbox for Geometry Processing.

Learning Deep CNN Denoiser Prior for Image Restoration (CVPR, 2017) (Matlab)

NetVLAD: CNN architecture for weakly supervised place recognition

[CVPR'17] Training a Correlation Filter end-to-end allows lightweight networks of 2 layers (600 kB) to high performance at fast speed..

Learning to Track: Online Multi-Object Tracking by Decision Making

Course Page for Geometry Processing

White balance camera-rendered sRGB images (CVPR 2019) [Matlab & Python]

Software Development Kit for the Oxford Robotcar Dataset

Real-world Noisy Image Denoising: A New Benchmark

SLAM Toolbox

Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views

Matlab implementation of facial landmark detection by deep multi-task learning

Digital Video Stabilization and Rolling Shutter Correction using Gyroscopes

S. Su, M. Delbracio, J. Wang, G. Sapiro, W. Heidrich, O. Wang. Deep Video Deblurring. CVPR 2017, Spotlight

The DCM-IMU algorithm is designed for fusing low-cost triaxial MEMS gyroscope and accelerometer measurements. An extended Kalman filter is used to estimate attitude in direction cosine matrix (DCM)…

Vectorized implementation of convolutional neural networks (CNN) in Matlab for both visual recognition and image processing.

Deep feature pyramids for various computer vision algorithms (DPMs, pyramid R-CNN, etc.)

Adversarial Examples for Semantic Segmentation and Object Detection

Professor X Toolkit (previously known as the Princeton Vision and Robotics Toolkit)

PyTorch & Matlab code for the paper: CIE XYZ Net: Unprocessing Images for Low-Level Computer Vision Tasks (TPAMI 2021).

This repository contains the code for the real data experiments presented in our paper “An embarrassingly simple approach to zero-shot learning”, presented at ICML 2015.

Source code for our paper "Depth Super-Resolution Meets Uncalibrated Photometric Stereo"

Code for ICCV2015 paper "Car That Knows Before You Do: Anticipating Maneuvers via Learning Temporal Driving Models"

This is the released code for the following papers: A generalized framework for edge-preserving and structure-preserving image smoothing. Liu W, et al., TPAMI 2021, AAAI 2020

This code implements the approach for the following research paper: Fight ill-posedness with ill-posedness: Single-shot variational depth super-resolution from shading; B. Haefner, Y. Quéau, T. Möl…

Repository for "TILDE: A Temporally Invariant Learned DEtector", CVPR2015