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07/20/2023
Intrinsic Appearance Decomposition Using Point Cloud Representation
Intrinsic decomposition is to infer the albedo and shading from the imag...
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07/01/2023
Learning Content-enhanced Mask Transformer for Domain Generalized Urban-Scene Segmentation
Domain-generalized urban-scene semantic segmentation (USSS) aims to lear...
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11/25/2022
MorphPool: Efficient Non-linear Pooling Unpooling in CNNs
Pooling is essentially an operation from the field of Mathematical Morph...
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08/30/2022
SIGNet: Intrinsic Image Decomposition by a Semantic and Invariant Gradient Driven Network for Indoor Scenes
Intrinsic image decomposition (IID) is an under-constrained problem. The...
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04/08/2022
Invariant Descriptors for Intrinsic Reflectance Optimization
Intrinsic image decomposition aims to factorize an image into albedo (re...
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03/30/2022
PIE-Net: Photometric Invariant Edge Guided Network for Intrinsic Image Decomposition
Intrinsic image decomposition is the process of recovering the image for...
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11/09/2020
EDEN: Multimodal Synthetic Dataset of Enclosed GarDEN Scenes
Multimodal large-scale datasets for outdoor scenes are mostly designed f...
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10/22/2020
Spatio-temporal Features for Generalized Detection of Deepfake Videos
For deepfake detection, video-level detectors have not been explored as ...
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09/17/2020
Novel View Synthesis from Single Images via Point Cloud Transformation
In this paper the argument is made that for true novel view synthesis of...
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09/03/2020
Multi-Loss Weighting with Coefficient of Variations
Many interesting tasks in machine learning and computer vision are learn...
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09/03/2020
Physics-based Shading Reconstruction for Intrinsic Image Decomposition
We investigate the use of photometric invariance and deep learning to co...
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04/14/2020
Kinship Identification through Joint Learning Using Kinship Verification Ensemble
While kinship verification is a well-exploited task which only identifie...
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12/09/2019
ShadingNet: Image Intrinsics by Fine-Grained Shading Decomposition
In general, intrinsic image decomposition algorithms interpret shading a...
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10/29/2019
On the Benefit of Adversarial Training for Monocular Depth Estimation
In this paper we address the benefit of adding adversarial training to t...
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12/26/2018
Deception Detection by 2D-to-3D Face Reconstruction from Videos
Lies and deception are common phenomena in society, both in our private ...
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12/18/2018
Improving Face Detection Performance with 3D-Rendered Synthetic Data
In this paper, we provide a synthetic data generator methodology with fu...
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12/07/2018
Color Constancy by GANs: An Experimental Survey
In this paper, we formulate the color constancy task as an image-to-imag...
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12/05/2018
Unsupervised Generation of Optical Flow Datasets from Videos in the Wild
Dense optical flow ground truth of non-rigid motion for real-world image...
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12/04/2018
Inferring Point Clouds from Single Monocular Images by Depth Intermediation
In this paper, we propose a framework for generating 3D point cloud of a...
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07/31/2018
Joint Learning of Intrinsic Images and Semantic Segmentation
Semantic segmentation of outdoor scenes is problematic when there are va...
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07/19/2018
Three for one and one for three: Flow, Segmentation, and Surface Normals
Optical flow, semantic segmentation, and surface normals represent diffe...
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04/05/2018
TrimBot2020: an outdoor robot for automatic gardening
Robots are increasingly present in modern industry and also in everyday ...
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12/04/2017
CNN based Learning using Reflection and Retinex Models for Intrinsic Image Decomposition
Most of the traditional work on intrinsic image decomposition rely on de...
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11/30/2017
3DContextNet: K-d Tree Guided Hierarchical Learning of Point Clouds Using Local Contextual Cues
3D data such as point clouds and meshes are becoming more and more avail...
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12/26/2014
Detect2Rank : Combining Object Detectors Using Learning to Rank
Object detection is an important research area in the field of computer ...
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12/11/2014