Search Results for author: Philippe-Henri Gosselin

Found 7 papers, 3 papers with code

S2F2: Self-Supervised High Fidelity Face Reconstruction from Monocular Image

1 code implementation15 Mar 2022 Abdallah Dib, Junghyun Ahn, Cedric Thebault, Philippe-Henri Gosselin, Louis Chevallier

We present a novel face reconstruction method capable of reconstructing detailed face geometry, spatially varying face reflectance from a single monocular image.

Face Reconstruction Self-Supervised Learning

Practical Face Reconstruction via Differentiable Ray Tracing

1 code implementation13 Jan 2021 Abdallah Dib, Gaurav Bharaj, Junghyun Ahn, Cédric Thébault, Philippe-Henri Gosselin, Marco Romeo, Louis Chevallier

The proposed method models scene illumination via a novel, parameterized virtual light stage, which in-conjunction with differentiable ray-tracing, introduces a coarse-to-fine optimization formulation for face reconstruction.

Face Reconstruction

Face Reflectance and Geometry Modeling via Differentiable Ray Tracing

no code implementations3 Oct 2019 Abdallah Dib, Gaurav Bharaj, Junghyun Ahn, Cedric Thebault, Philippe-Henri Gosselin, Louis Chevallier

We present a novel strategy to automatically reconstruct 3D faces from monocular images with explicitly disentangled facial geometry (pose, identity and expression), reflectance (diffuse and specular albedo), and self-shadows.

Data Dependent Kernel Approximation using Pseudo Random Fourier Features

no code implementations27 Nov 2017 Bharath Bhushan Damodaran, Nicolas Courty, Philippe-Henri Gosselin

Thus, reducing the number of feature dimensions is necessary to effectively scale to large datasets.

A comparison of dense region detectors for image search and fine-grained classification

no code implementations29 Oct 2014 Ahmet Iscen, Giorgos Tolias, Philippe-Henri Gosselin, Hervé Jégou

Our results show that the regular dense detector is outperformed by other methods in most situations, leading us to improve the state of the art in comparable setups on standard retrieval and fined-grain benchmarks.

General Classification Image Classification +1

Covariance Descriptors for 3D Shape Matching and Retrieval

no code implementations CVPR 2014 Hedi Tabia, Hamid Laga, David Picard, Philippe-Henri Gosselin

We evaluate the performance of the proposed Bag of Covariance Matrices framework on 3D shape matching and retrieval applications and demonstrate its superiority compared to descriptor-based techniques.

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