Harbin Institute of Technology

research

∙ 03/10/2021

Partial Differential Equations is All You Need for Generating Neural Architectures – A Theory for Physical Artificial Intelligence Systems

In this work, we generalize the reaction-diffusion equation in statistic...

Ping Guo, et al. ∙

research

∙ 05/11/2022

Deep Depth Completion: A Survey

Depth completion aims at predicting dense pixel-wise depth from a sparse...

Junjie Hu, et al. ∙

research

∙ 09/23/2021

Revisit Geophysical Imaging in A New View of Physics-informed Generative Adversarial Learning

Seismic full waveform inversion (FWI) is a powerful geophysical imaging ...

Fangshu Yang, et al. ∙

research

∙ 12/27/2020

Lidar and Camera Self-Calibration using CostVolume Network

In this paper, we propose a novel online self-calibration approach for L...

Xudong Lv, et al. ∙

research

∙ 04/22/2020

Learning an Adaptive Model for Extreme Low-light Raw Image Processing

Low-light images suffer from severe noise and low illumination. Current ...

Qingxu Fu, et al. ∙

research

∙ 05/08/2020

NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results

This paper reviews the NTIRE 2020 challenge on real image denoising with...

Abdelrahman Abdelhamed, et al. ∙

research

∙ 03/25/2019

Manifold Criterion Guided Transfer Learning via Intermediate Domain Generation

In many practical transfer learning scenarios, the feature distribution ...

Lei Zhang, et al. ∙

research

∙ 08/29/2019

Universal, transferable and targeted adversarial attacks

Deep Neural Network has been found vulnerable in many previous works. A ...

Junde Wu, et al. ∙

research

∙ 11/16/2019

Optimized CNN for PolSAR Image Classification via Differentiable Neural Architecture Search

Convolutional neural networks (CNNs) realize the automation of feature e...

Hongwei Dong, et al. ∙

research

∙ 12/15/2021

Putting People in their Place: Monocular Regression of 3D People in Depth

Given an image with multiple people, our goal is to directly regress the...

Yu Sun, et al. ∙

research

∙ 12/17/2021

Towards End-to-End Image Compression and Analysis with Transformers

We propose an end-to-end image compression and analysis model with Trans...

Yuanchao Bai, et al. ∙

research

∙ 08/16/2021

Pixel Difference Networks for Efficient Edge Detection

Recently, deep Convolutional Neural Networks (CNNs) can achieve human-le...

Zhuo Su, et al. ∙

research

∙ 08/18/2021

Learning RAW-to-sRGB Mappings with Inaccurately Aligned Supervision

Learning RAW-to-sRGB mapping has drawn increasing attention in recent ye...

Haolin Wang, et al. ∙

research

∙ 03/01/2019

Pyramid Feature Selective Network for Saliency detection

Saliency detection is one of the basic challenges in computer vision. Ho...

Ting Zhao, et al. ∙

research

∙ 01/15/2020

Filter Grafting for Deep Neural Networks

This paper proposes a new learning paradigm called filter grafting, whic...

Fanxu Meng, et al. ∙

research

∙ 09/14/2019

Fuzzy Semantic Segmentation of Breast Ultrasound Image with Breast Anatomy Constraints

Breast cancer is one of the most serious disease affects women's health....

Kuan Huang, et al. ∙

research

∙ 03/07/2019

Learning deep neural networks in blind deblurring framework

Recently, end-to-end learning methods based on deep neural network (DNN)...

Junde Wu, et al. ∙

research

∙ 04/24/2022

PUERT: Probabilistic Under-sampling and Explicable Reconstruction Network for CS-MRI

Compressed Sensing MRI (CS-MRI) aims at reconstructing de-aliased images...

Jingfen Xie, et al. ∙

research

∙ 01/10/2019

Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net

Hyperspectral imaging can help better understand the characteristics of ...

Qi Xie, et al. ∙

research

∙ 04/23/2021

Recent Advances in Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspective

Estimation of the human pose from a monocular camera has been an emergin...

Wu Liu, et al. ∙

research

∙ 12/10/2021

Network Compression via Central Filter

Neural network pruning has remarkable performance for reducing the compl...

Yuanzhi Duan, et al. ∙

research

∙ 12/28/2021

GuidedMix-Net: Semi-supervised Semantic Segmentation by Using Labeled Images as Reference

Semi-supervised learning is a challenging problem which aims to construc...

Peng Tu, et al. ∙

research

∙ 03/22/2020

TanhExp: A Smooth Activation Function with High Convergence Speed for Lightweight Neural Networks

Lightweight or mobile neural networks used for real-time computer vision...

Xinyu Liu, et al. ∙

research

∙ 07/08/2021

Crowd Counting via Perspective-Guided Fractional-Dilation Convolution

Crowd counting is critical for numerous video surveillance scenarios. On...

Zhaoyi Yan, et al. ∙

research

∙ 08/11/2021

Prototype Completion for Few-Shot Learning

Few-shot learning aims to recognize novel classes with few examples. Pre...

Baoquan Zhang, et al. ∙

research

∙ 02/26/2022

Towards Revenue Maximization with Popular and Profitable Products

Economic-wise, a common goal for companies conducting marketing is to ma...

Wensheng Gan, et al. ∙

research

∙ 09/12/2018

Hyperspectral Image Classification in the Presence of Noisy Labels

Label information plays an important role in supervised hyperspectral im...

Junjun Jiang, et al. ∙

research

∙ 12/19/2018

Learning Symmetry Consistent Deep CNNs for Face Completion

Deep convolutional networks (CNNs) have achieved great success in face c...

Xiaoming Li, et al. ∙

research

∙ 07/12/2022

Learning Diverse Tone Styles for Image Retouching

Image retouching, aiming to regenerate the visually pleasing renditions ...

Haolin Wang, et al. ∙

research

∙ 07/13/2022

Symmetry-Aware Transformer-based Mirror Detection

Mirror detection aims to identify the mirror regions in the given input ...

Tianyu Huang, et al. ∙

research

∙ 07/25/2022

W2N:Switching From Weak Supervision to Noisy Supervision for Object Detection

Weakly-supervised object detection (WSOD) aims to train an object detect...

Zitong Huang, et al. ∙

research

∙ 09/25/2020

AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results

This paper introduces the real image Super-Resolution (SR) challenge tha...

Pengxu Wei, et al. ∙

research

∙ 09/17/2021

Exploring the Robustness of Distributional Reinforcement Learning against Noisy State Observations

In real scenarios, state observations that an agent observes may contain...

Ke Sun, et al. ∙

research

∙ 02/04/2022

Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization

Federated learning has recently emerged as a paradigm promising the bene...

Yifeng Zheng, et al. ∙

research

∙ 04/20/2022

NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results

In this paper, we summarize the 1st NTIRE challenge on stereo image supe...

Longguang Wang, et al. ∙

research

∙ 04/30/2022

ClusterQ: Semantic Feature Distribution Alignment for Data-Free Quantization

Network quantization has emerged as a promising method for model compres...

Yangcheng Gao, et al. ∙

research

∙ 03/08/2020

Meta3D: Single-View 3D Object Reconstruction from Shape Priors in Memory

3D shape reconstruction from a single-view RGB image is an ill-posed pro...

Shuo Yang, et al. ∙

research

∙ 05/03/2020

Mutual Information Gradient Estimation for Representation Learning

Mutual Information (MI) plays an important role in representation learni...

Liangjian Wen, et al. ∙

research

∙ 12/23/2020

Correspondence Learning for Controllable Person Image Generation

We present a generative model for controllable person image synthesis,as...

Shilong Shen, et al. ∙

research

∙ 10/19/2021

CGNN: Traffic Classification with Graph Neural Network

Traffic classification associates packet streams with known application ...

Bo Pang, et al. ∙

research

∙ 12/07/2021

Image Compressed Sensing Using Non-local Neural Network

Deep network-based image Compressed Sensing (CS) has attracted much atte...

Wenxue Cui, et al. ∙

research

∙ 07/04/2022

VEM^2L: A Plug-and-play Framework for Fusing Text and Structure Knowledge on Sparse Knowledge Graph Completion

Knowledge Graph Completion has been widely studied recently to complete ...

Tao He, et al. ∙

research

∙ 06/09/2019

Learning Deep Multi-Level Similarity for Thermal Infrared Object Tracking

Existing deep Thermal InfraRed (TIR) trackers only use semantic features...

Qiao Liu, et al. ∙

research

∙ 09/19/2019

Assembly of randomly placed parts realized by using only one robot arm with a general parallel-jaw gripper

In industry assembly lines, parts feeding machines are widely employed a...

Jie Zhao, et al. ∙

research

∙ 06/05/2020

TCDesc: Learning Topology Consistent Descriptors

Triplet loss is widely used for learning local descriptors from image pa...

Honghu Pan, et al. ∙

research

∙ 06/30/2020

Cross-Scale Internal Graph Neural Network for Image Super-Resolution

Non-local self-similarity in natural images has been well studied as an ...

Shangchen Zhou, et al. ∙

research

∙ 03/14/2022

Self-Promoted Supervision for Few-Shot Transformer

The few-shot learning ability of vision transformers (ViTs) is rarely in...

Bowen Dong, et al. ∙

research

∙ 06/21/2022

Position-prior Clustering-based Self-attention Module for Knee Cartilage Segmentation

The morphological changes in knee cartilage (especially femoral and tibi...

Dong Liang, et al. ∙

research

∙ 06/28/2022

MACSA: A Multimodal Aspect-Category Sentiment Analysis Dataset with Multimodal Fine-grained Aligned Annotations

Multimodal fine-grained sentiment analysis has recently attracted increa...

Hao Yang, et al. ∙

research

∙ 08/04/2022

Learning Modal-Invariant and Temporal-Memory for Video-based Visible-Infrared Person Re-Identification

Thanks for the cross-modal retrieval techniques, visible-infrared (RGB-I...

Xinyu Lin, et al. ∙

Harbin Institute of Technology

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