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08/11/2023
CaPhy: Capturing Physical Properties for Animatable Human Avatars
We present CaPhy, a novel method for reconstructing animatable human ava...
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07/03/2023
Real-time Monocular Full-body Capture in World Space via Sequential Proxy-to-Motion Learning
Learning-based approaches to monocular motion capture have recently show...
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04/03/2023
Rethinking Context Aggregation in Natural Image Matting
For natural image matting, context information plays a crucial role in e...
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04/25/2021
Distractor-Aware Fast Tracking via Dynamic Convolutions and MOT Philosophy
A practical long-term tracker typically contains three key properties, i...
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07/29/2020
Object-and-Action Aware Model for Visual Language Navigation
Vision-and-Language Navigation (VLN) is unique in that it requires turni...
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03/18/2020
Scene Text Recognition via Transformer
Scene text recognition with arbitrary shape is very challenging due to l...
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03/15/2020
Siamese Box Adaptive Network for Visual Tracking
Most of the existing trackers usually rely on either a multi-scale searc...
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10/18/2019
Toward 3D Object Reconstruction from Stereo Images
Inferring the 3D shape of an object from an RGB image has shown impressi...
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10/14/2019
Sketch-Specific Data Augmentation for Freehand Sketch Recognition
Sketch recognition remains a significant challenge due to the limited tr...
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06/19/2019
Light Field Saliency Detection with Deep Convolutional Networks
CNN-based methods have been proven to work well for saliency detection o...
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05/12/2019
DeepIlluminance: Contextual Illuminance Estimation via Deep Neural Networks
Computational color constancy refers to the estimation of the scene illu...
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01/31/2019
Pix2Vox: Context-aware 3D Reconstruction from Single and Multi-view Images
Recovering the 3D representation of an object from single-view or multi-...
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08/17/2018
Convolutional Neural Networks based Intra Prediction for HEVC
Traditional intra prediction methods for HEVC rely on using the nearest ...
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04/13/2018
An efficient deep convolutional laplacian pyramid architecture for CS reconstruction at low sampling ratios
The compressed sensing (CS) has been successfully applied to image compr...
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07/22/2017
Deep Networks for Compressed Image Sensing
The compressed sensing (CS) theory has been successfully applied to imag...
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07/30/2016
