Titlebook: Computer Vision –ACCV 2016; 13th Asian Conferenc Shang-Hong Lai,Vincent Lepetit,Yoichi Sato Conference proceedings 2017 Springer Internatio

MAZE

https://doi.org/10.1057/9780230295032o reconstruct the response maps. The second stage is shape mapping stage, which processes the response maps to get locations of facial key points. We explored four functions for this stage: . function, ., . function and . function. Experiments done on 300 W dataset show that our algorithm outperforms state-of-the-art methods.

BUMP

无效

Radial Lens Distortion Correction Using Convolutional Neural Networks Trained with Synthesized Image well exploited by deep CNN with a high learning capacity. We present quantitative results that demonstrate the ability of our technique to estimate the radial distortion with comparisons against several baseline methods, including an automatic method based on Hough transforms of distorted line images.

国家明智

Direct and Global Component Separation from a Single Image Using Basis Representationeffectiveness of our approach is demonstrated on both simulated and real images captured by a standard off-the-shelf camera and a projector mounted in a coaxial system. Our results show better visual quality and less error compared with those obtained by the conventional single-shot approach on both still and moving objects.

Assignment

Video Enhancement via Super-Resolution Using Deep Quality Transfer Networksion with LR input, residual learning and bidirectional architecture. The proposed CNN model has real-time performance at inference stage. The empirical studies have verified the generality of the proposed CNN model showing significant quality gains for video enhancement.

时代

Age Estimation Based on a Single Network with Soft Softmax of Aging Modelinge calculated offline in advance. We evaluate our method on two public datasets: MORPH II and Cross-Age Celebrity Dataset (CACD), and experimental results have shown that the proposed method has gained superior performances compared to the state of the art.

GRAZE

Local Fractional Order Derivative Vector Quantization Pattern for Face Recognitionn performance and robust to noise. Extensive experimental results conducted on four benchmark face databases demonstrate the superior performance of our fVQP compared with existing state-of-the-art descriptors for face recognition in terms of recognition rate.

ambivalence

Learning Facial Point Response for Alignment by Purely Convolutional Networko reconstruct the response maps. The second stage is shape mapping stage, which processes the response maps to get locations of facial key points. We explored four functions for this stage: . function, ., . function and . function. Experiments done on 300 W dataset show that our algorithm outperforms state-of-the-art methods.

发电机

正式演说

Justice in the Cultural Industry,nd shading consistency across views. In evaluations of our method on real-world data sets captured with a Lytro Illum plenoptic camera, we demonstrate the advantages of our approach with respect to intrinsic image decomposition and specular removal.