research
∙
07/16/2023
Surface Geometry Processing: An Efficient Normal-based Detail Representation
With the rapid development of high-resolution 3D vision applications, th...
share
research
∙
05/24/2023
L-CAD: Language-based Colorization with Any-level Descriptions
Language-based colorization produces plausible and visually pleasing col...
research
∙
04/14/2023
Self-Supervised Scene Dynamic Recovery from Rolling Shutter Images and Events
Scene Dynamic Recovery (SDR) by inverting distorted Rolling Shutter (RS)...
research
∙
04/06/2023
Spike Stream Denoising via Spike Camera Simulation
As a neuromorphic sensor with high temporal resolution, the spike camera...
research
∙
03/06/2023
EvHandPose: Event-based 3D Hand Pose Estimation with Sparse Supervision
Event camera shows great potential in 3D hand pose estimation, especiall...
research
∙
12/16/2022
Deep Learning Methods for Calibrated Photometric Stereo and Beyond: A Survey
Photometric stereo recovers the surface normals of an object from multip...
research
∙
11/28/2022
NeuralMPS: Non-Lambertian Multispectral Photometric Stereo via Spectral Reflectance Decomposition
Multispectral photometric stereo(MPS) aims at recovering the surface nor...
research
∙
07/11/2022
Edge-preserving Near-light Photometric Stereo with Neural Surfaces
This paper presents a near-light photometric stereo method that faithful...
research
∙
07/23/2021
Label Distribution Amendment with Emotional Semantic Correlations for Facial Expression Recognition
By utilizing label distribution learning, a probability distribution is ...
research
∙
04/28/2021
DeRenderNet: Intrinsic Image Decomposition of Urban Scenes with Shape-(In)dependent Shading Rendering
We propose DeRenderNet, a deep neural network to decompose the albedo an...
research
∙
04/09/2021
Spatially-Varying Outdoor Lighting Estimation from Intrinsics
We present SOLID-Net, a neural network for spatially-varying outdoor lig...
research
∙
11/12/2020
RIFE: Real-Time Intermediate Flow Estimation for Video Frame Interpolation
We propose RIFE, a Real-time Intermediate Flow Estimation algorithm for ...
research
∙
07/26/2020
Deep Photometric Stereo for Non-Lambertian Surfaces
This paper addresses the problem of photometric stereo, in both calibrat...
research
∙
05/14/2020
A Semi-Supervised Assessor of Neural Architectures
Neural architecture search (NAS) aims to automatically design deep neura...
research
∙
03/07/2020
Distilling portable Generative Adversarial Networks for Image Translation
Despite Generative Adversarial Networks (GANs) have been widely used in ...
research
∙
02/23/2020
Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks
Deep neural networks often consist of a great number of trainable parame...
research
∙
02/04/2020
On Positive-Unlabeled Classification in GAN
This paper defines a positive and unlabeled classification problem for s...
research
∙
01/18/2020
Multi-View Photometric Stereo: A Robust Solution and Benchmark Dataset for Spatially Varying Isotropic Materials
We present a method to capture both 3D shape and spatially varying refle...
research
∙
12/31/2019
AdderNet: Do We Really Need Multiplications in Deep Learning?
Compared with cheap addition operation, multiplication operation is of m...
research
∙
11/29/2019
DIST: Rendering Deep Implicit Signed Distance Function with Differentiable Sphere Tracing
We propose a differentiable sphere tracing algorithm to bridge the gap b...
research
∙
09/11/2019
CARS: Continuous Evolution for Efficient Neural Architecture Search
Searching techniques in most of existing neural architecture search (NAS...
research
∙
07/13/2019
Bringing Giant Neural Networks Down to Earth with Unlabeled Data
Compressing giant neural networks has gained much attention for their ex...
research
∙
05/10/2019
SPLINE-Net: Sparse Photometric Stereo through Lighting Interpolation and Normal Estimation Networks
This paper solves the Sparse Photometric stereo through Lighting Interpo...
research
∙
04/02/2019
Data-Free Learning of Student Networks
Learning portable neural networks is very essential for computer vision ...
research
∙
03/25/2019
Physics-based Neural Networks for Shape from Polarization
How should prior knowledge from physics inform a neural network solution...
research
∙
03/18/2019
Self-calibrating Deep Photometric Stereo Networks
This paper proposes an uncalibrated photometric stereo method for non-La...
research
∙
03/03/2019
Face Image Reflection Removal
Face images captured through the glass are usually contaminated by refle...
research
∙
07/30/2018
Robust Student Network Learning
Deep neural networks bring in impressive accuracy in various application...
research
∙
05/30/2018
CRRN: Multi-Scale Guided Concurrent Reflection Removal Network
Removing the undesired reflections from images taken through the glass i...
research
∙
03/01/2017
