46 Result(s)
within
Computer Science
Artificial Intelligence
Computer Applications
Computer Graphics
Image Processing and Computer Vision
**hu Li
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Chapter and Conference Paper
Foreground and Background Separate Adaptive Equilibrium Gradients Loss for Long-Tail Object Detection
The current mainstream object detection methods usually tend to implement on datasets where the categories remain balanced, and have made great progress. However, in the presence of long-tail distribution, the...
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Chapter and Conference Paper
Face Expression Recognition via Product-Cross Dual Attention and Neutral-Aware Anchor Loss
Face expression recognition is an important task whose aim is to classify a face image to a kind of expression such as happy, sad, or surprise, etc. This task is challenging due to the ambiguities in expressio...
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Chapter and Conference Paper
Silhouette-Based 6D Object Pose Estimation
For a long time, deep learning-based 6D object pose estimation networks have lacked the ability to address the problem of pose estimation of the unknown objects beyond the training datasets, due to the closed-...
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Chapter and Conference Paper
Object Category-Based Visual Dialog for Effective Question Generation
GuessWhat?! is a visual dialog dataset that consists of a series of goal-oriented questions and answers between a questioner and an answerer. The purpose of the task is to enable the questioner to identify the...
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Chapter and Conference Paper
Zero-Shot Real Facial Attribute Separation and Transfer at Novel Views
Real-time and zero-shot attribute separation of a given real-face image, allowing attribute transfer and rendering at novel views without the aid of multi-view information, has been demonstrated to be benefici...
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Chapter and Conference Paper
Deep Tiny Network for Recognition-Oriented Face Image Quality Assessment
Face recognition has made significant progress in recent years due to deep convolutional neural networks (CNN). In many face recognition (FR) scenarios, face images are acquired from a sequence with huge intr...
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Chapter and Conference Paper
GAN with Pixel and Perceptual Regularizations for Photo-Realistic Joint Deblurring and Super-Resolution
In this paper, we propose a Generative Adversarial Network with Pixel and Perceptual regularizations, denoted as P2GAN, to restore single motion blurry and low-resolution images jointly into clear and high-resolu...
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Chapter and Conference Paper
Capturing Piecewise SVBRDFs with Content Aware Lighting
We present a method for capturing piecewise SVBRDFs over flat surfaces that consist of piecewise homogeneous materials with arbitrary geometric details
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Chapter and Conference Paper
Object Gras** of Humanoid Robot Based on YOLO
This paper presents a system that aims to achieve autonomous gras** for micro-controller based humanoid robots such as the Inmoov robot [1]. The system consists of a visual sensor, a central controller and a ma...
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Chapter and Conference Paper
Deep Intrinsic Image Decomposition Using Joint Parallel Learning
Intrinsic image decomposition is a highly ill-posed problem in computer vision referring to extract albedo and shading from an image. In this paper, we regard it as an image-to-image translation issue and prop...
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Chapter and Conference Paper
An Interactive Virtual Training System for Assembly and Disassembly Based on Precedence Constraints
Compared with traditional training modes of assembly/disassembly, the virtual environment has advantages for enhancing the training quality, saving training resources, and breaking restrictions on training equ...
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Chapter and Conference Paper
Fine-Grained Color Sketch-Based Image Retrieval
We propose a novel fine-grained color sketch-based image retrieval (CSBIR) approach
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Chapter and Conference Paper
Fast Superpixel Segmentation with Deep Features
In this paper, we propose a superpixel segmentation method which utilizes extracted deep features along with the combination of color and position information of the pixels. It is observed that the results can...
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Chapter and Conference Paper
ODE-Driven Sketch-Based Organic Modelling
How to efficiently create 3D models from 2D sketches is an important problem
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Chapter and Conference Paper
Field-Aware Parameterization for 3D Painting
We present a two-phase method that generates a near-isometric parameterization using a local chart of the surface while still being aware of the geodesic metric. During the first phase, we utilize a novel meth...
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Chapter and Conference Paper
Generation of Synthetic 4D Cardiac CT Images by Deformation from Cardiac Ultrasound
In this paper we introduce a method of generating a synthetic 4D cardiac CT dataset using a single (static) CT and 4D ultrasound images. The method performs non-rigid registrations among ultrasound images to o...
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Chapter and Conference Paper
Scene Reconstruction Using MRF Optimization with Image Content Adaptive Energy Functions
Multi-view scene reconstruction from multiple uncalibrated images can be solved by two stages of processing: first, a sparse reconstruction using Structure From Motion (SFM), and second, a surface reconstructi...
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Chapter and Conference Paper
Use of Local Surface Curvature Estimation for Adaptive Vision System Based on Active Light Projection
In this paper, we present a new 3D reconstruction approach based on local surface curvature analysis. Its integration can make a normal active stereoscopic system intelligent, and capable to produce directly o...
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Chapter and Conference Paper
Speaker Diarization Using Direction of Arrival Estimate and Acoustic Feature Information: The I2R-NTU Submission for the NIST RT 2007 Evaluation
This paper describes the I2R/NTU system submitted for the NIST Rich Transcription 2007 (RT-07) Meeting Recognition evaluation Multiple Distant Microphone (MDM) task. In our system, speaker turn detection and clus...
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Chapter and Conference Paper
Tsinghua Face Detection and Tracking for CLEAR 2007 Evaluation
This paper presents the algorithm and evaluation results of a face detection and tracking system. A tree-structured multi-view face detector trained by Vector Boosting is used as the basic detection module. On...
