b'Haoqian Wang'

research

∙ 09/14/2023

DT-NeRF: Decomposed Triplane-Hash Neural Radiance Fields for High-Fidelity Talking Portrait Synthesis

In this paper, we present the decomposed triplane-hash neural radiance f...

0 Yaoyu Su, et al. ∙

research

∙ 05/17/2023

Binarized Spectral Compressive Imaging

Existing deep learning models for hyperspectral image (HSI) reconstructi...

0 Yuanhao Cai, et al. ∙

research

∙ 04/24/2023

Learning Visibility Field for Detailed 3D Human Reconstruction and Relighting

Detailed 3D reconstruction and photo-realistic relighting of digital hum...

0 Ruichen Zheng, et al. ∙

research

∙ 04/10/2023

ITportrait: Image-Text Coupled 3D Portrait Domain Adaptation

Domain adaptation of 3D portraits has gained more and more attention. Ho...

0 Xiangwen Deng, et al. ∙

research

∙ 04/03/2023

VoxelFormer: Bird's-Eye-View Feature Generation based on Dual-view Attention for Multi-view 3D Object Detection

In recent years, transformer-based detectors have demonstrated remarkabl...

0 Zhuoling Li, et al. ∙

research

∙ 03/12/2023

Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement

When enhancing low-light images, many deep learning algorithms are based...

0 Yuanhao Cai, et al. ∙

research

∙ 03/11/2023

AugDiff: Diffusion based Feature Augmentation for Multiple Instance Learning in Whole Slide Image

Multiple Instance Learning (MIL), a powerful strategy for weakly supervi...

0 Zhuchen Shao, et al. ∙

research

∙ 10/15/2022

Learning Invariant Representation and Risk Minimized for Unsupervised Accent Domain Adaptation

Unsupervised representation learning for speech audios attained impressi...

0 Chendong Zhao, et al. ∙

research

∙ 09/30/2022

Adaptive Sparse and Monotonic Attention for Transformer-based Automatic Speech Recognition

The Transformer architecture model, based on self-attention and multi-he...

0 Chendong Zhao, et al. ∙

research

∙ 06/26/2022

Multiple Instance Learning with Mixed Supervision in Gleason Grading

With the development of computational pathology, deep learning methods f...

1 Hao Bian, et al. ∙

research

∙ 06/08/2022

Delving into the Pre-training Paradigm of Monocular 3D Object Detection

The labels of monocular 3D object detection (M3OD) are expensive to obta...

0 Zhuoling Li, et al. ∙

research

∙ 05/20/2022

Unsupervised Flow-Aligned Sequence-to-Sequence Learning for Video Restoration

How to properly model the inter-frame relation within the video sequence...

0 Jing Lin, et al. ∙

research

∙ 05/20/2022

Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging

In coded aperture snapshot spectral compressive imaging (CASSI) systems,...

0 Yuanhao Cai, et al. ∙

research

∙ 05/19/2022

Diversity Matters: Fully Exploiting Depth Clues for Reliable Monocular 3D Object Detection

As an inherently ill-posed problem, depth estimation from single images ...

0 Zhuoling Li, et al. ∙

research

∙ 04/17/2022

MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction

Existing leading methods for spectral reconstruction (SR) focus on desig...

4 Yuanhao Cai, et al. ∙

research

∙ 04/06/2022

Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training

Existing deep learning real denoising methods require a large amount of ...

1 Yuanhao Cai, et al. ∙

research

∙ 04/04/2022

Transient motion classification through turbid volumes via parallelized single-photon detection and deep contrastive embedding

Fast noninvasive probing of spatially varying decorrelating events, such...

11 Shiqi Xu, et al. ∙

research

∙ 03/09/2022

Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstruction

Many algorithms have been developed to solve the inverse problem of code...

0 Jing Lin, et al. ∙

research

∙ 03/04/2022

OPAL: Occlusion Pattern Aware Loss for Unsupervised Light Field Disparity Estimation

Light field disparity estimation is an essential task in computer vision...

4 Peng Li, et al. ∙

research

∙ 03/04/2022

HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imaging

The rapid development of deep learning provides a better solution for th...

8 Xiaowan Hu, et al. ∙

research

∙ 02/21/2022

r-G2P: Evaluating and Enhancing Robustness of Grapheme to Phoneme Conversion by Controlled noise introducing and Contextual information incorporation

Grapheme-to-phoneme (G2P) conversion is the process of converting the wr...

0 Chendong Zhao, et al. ∙

research

∙ 01/06/2022

Flow-Guided Sparse Transformer for Video Deblurring

Exploiting similar and sharper scene patches in spatio-temporal neighbor...

0 Jing Lin, et al. ∙

research

∙ 11/15/2021

Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction

Hyperspectral image (HSI) reconstruction aims to recover the 3D spatial-...

0 Yuanhao Cai, et al. ∙

research

∙ 08/16/2021

Real-time Human-Centric Segmentation for Complex Video Scenes

Most existing video tasks related to "human" focus on the segmentation o...

8 Ran Yu, et al. ∙

research

∙ 07/22/2021

PoseDet: Fast Multi-Person Pose Estimation Using Pose Embedding

Current methods of multi-person pose estimation typically treat the loca...

0 Chenyu Tian, et al. ∙

research

∙ 07/03/2021

Imaging dynamics beneath turbid media via parallelized single-photon detection

Noninvasive optical imaging through dynamic scattering media has numerou...

6 Shiqi Xu, et al. ∙

research

∙ 02/24/2021

Enabling the Network to Surf the Internet

Few-shot learning is challenging due to the limited data and labels. Exi...

0 Zhuoling Li, et al. ∙

research

∙ 03/09/2020

Learning Delicate Local Representations for Multi-Person Pose Estimation

In this paper, we propose a novel method called Residual Steps Network (...

0 Yuanhao Cai, et al. ∙

research

∙ 08/20/2019

Non-negative Sparse and Collaborative Representation for Pattern Classification

Sparse representation (SR) and collaborative representation (CR) have be...

4 Jun Xu, et al. ∙

research

∙ 08/11/2019

Semi-Supervised Self-Growing Generative Adversarial Networks for Image Recognition

Image recognition is an important topic in computer vision and image pro...

3 Haoqian Wang, et al. ∙

research

∙ 06/16/2019

STAR: A Structure and Texture Aware Retinex Model

Retinex theory is developed mainly to decompose an image into the illumi...

0 Jun Xu, et al. ∙

research

∙ 12/29/2018

SPI-Optimizer: an integral-Separated PI Controller for Stochastic Optimization

To overcome the oscillation problem in the classical momentum-based opti...

28 Dan Wang, et al. ∙

research

∙ 07/27/2018

CrossNet: An End-to-end Reference-based Super Resolution Network using Cross-scale Warping

The Reference-based Super-resolution (RefSR) super-resolves a low-resolu...

10 Haitian Zheng, et al. ∙

research

∙ 12/01/2015

Fast and High Quality Highlight Removal from A Single Image

Specular reflection exists widely in photography and causes the recorded...

0 Dongsheng An, et al. ∙

Haoqian Wang

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