Search Results for author: Xin Ning

Found 12 papers, 2 papers with code

DNGaussian: Optimizing Sparse-View 3D Gaussian Radiance Fields with Global-Local Depth Normalization

1 code implementation11 Mar 2024 Jiahe Li, Jiawei Zhang, Xiao Bai, Jin Zheng, Xin Ning, Jun Zhou, Lin Gu

Our motivation stems from the highly efficient representation and surprising quality of the recent 3D Gaussian Splatting, despite it will encounter a geometry degradation when input views decrease.

Novel View Synthesis

PL-FSCIL: Harnessing the Power of Prompts for Few-Shot Class-Incremental Learning

no code implementations26 Jan 2024 Songsong Tian, Lusi Li, Weijun Li, Hang Ran, Li Li, Xin Ning

In this paper, we propose a novel approach called Prompt Learning for FSCIL (PL-FSCIL), which harnesses the power of prompts in conjunction with a pre-trained Vision Transformer (ViT) model to address the challenges of FSCIL effectively.

Few-Shot Class-Incremental Learning Incremental Learning

Deep Learning-based 3D Point Cloud Classification: A Systematic Survey and Outlook

no code implementations5 Nov 2023 Huang Zhang, Changshuo Wang, Shengwei Tian, Baoli Lu, Liping Zhang, Xin Ning, Xiao Bai

Point cloud classification is the basis of point cloud analysis, and many deep learning-based methods have been widely used in this task.

3D Point Cloud Classification Autonomous Driving +2

Occluded Person Re-Identification with Deep Learning: A Survey and Perspectives

no code implementations1 Nov 2023 Enhao Ning, Changshuo Wang, Huang Zhangc, Xin Ning, Prayag Tiwari

Person re-identification (Re-ID) technology plays an increasingly crucial role in intelligent surveillance systems.

Person Re-Identification

Towards Fully Decoupled End-to-End Person Search

no code implementations10 Sep 2023 Pengcheng Zhang, Xiao Bai, Jin Zheng, Xin Ning

This enables independent learning for different objectives thus fully decoupled the model for persons earch.

Person Search

Learning Adversarial Semantic Embeddings for Zero-Shot Recognition in Open Worlds

1 code implementation7 Jul 2023 Tianqi Li, Guansong Pang, Xiao Bai, Jin Zheng, Lei Zhou, Xin Ning

Open-Set Recognition (OSR) is dedicated to addressing the unknown class issue, but existing OSR methods are not designed to model the semantic information of the unseen classes.

Open Set Learning Zero-Shot Learning

A Survey on Few-Shot Class-Incremental Learning

no code implementations17 Apr 2023 Songsong Tian, Lusi Li, Weijun Li, Hang Ran, Xin Ning, Prayag Tiwari

Overall, this paper offers a comprehensive analysis of the latest advances in FSCIL from a methodological, performance, and application perspective.

Few-Shot Class-Incremental Learning Few-Shot Learning +6

Learning Continuous Face Representation with Explicit Functions

no code implementations25 Oct 2021 Liping Zhang, Weijun Li, Linjun Sun, Lina Yu, Xin Ning, Xiaoli Dong, Jian Xu, Hong Qin

First, we propose an explicit model (EmFace) for human face representation in the form of a finite sum of mathematical terms, where each term is an analytic function element.

Denoising Image Restoration

Costly Features Classification using Monte Carlo Tree Search

no code implementations14 Feb 2021 Ziheng Chen, Jin Huang, Hongshik Ahn, Xin Ning

We consider the problem of costly feature classification, where we sequentially select the subset of features to make a balance between the classification error and the feature cost.

Classification General Classification

GmFace: A Mathematical Model for Face Image Representation Using Multi-Gaussian

no code implementations3 Aug 2020 Liping Zhang, Weijun Li, Lina Yu, Xiaoli Dong, Linjun Sun, Xin Ning, Jian Xu, Hong Qin

The GmNet is then designed using Gaussian functions as neurons, with parameters that correspond to each of the parameters of GmFace in order to transform the problem of GmFace parameter solving into a network optimization problem of GmNet.

Face Model

A Local Descriptor with Physiological Characteristic for Finger Vein Recognition

no code implementations16 Apr 2020 Liping Zhang, Weijun Li, Xin Ning

In this work, we propose a finger vein-specific local feature descriptors based physiological characteristic of finger vein patterns, i. e., histogram of oriented physiological Gabor responses (HOPGR), for finger vein recognition.

Finger Vein Recognition

Continuous learning of face attribute synthesis

no code implementations15 Apr 2020 Xin Ning, Shaohui Xu, Xiaoli Dong, Weijun Li, Fangzhe Nan, Yuanzhou Yao

To overcome the limitations of a single network in new attribute synthesis, a continuous learning method for face attribute synthesis is proposed in this work.

Attribute Generative Adversarial Network

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