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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...
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05/17/2023
Binarized Spectral Compressive Imaging
Existing deep learning models for hyperspectral image (HSI) reconstructi...
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04/24/2023
Learning Visibility Field for Detailed 3D Human Reconstruction and Relighting
Detailed 3D reconstruction and photo-realistic relighting of digital hum...
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04/10/2023
ITportrait: Image-Text Coupled 3D Portrait Domain Adaptation
Domain adaptation of 3D portraits has gained more and more attention. Ho...
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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...
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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...
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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...
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10/15/2022
Learning Invariant Representation and Risk Minimized for Unsupervised Accent Domain Adaptation
Unsupervised representation learning for speech audios attained impressi...
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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...
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06/26/2022
Multiple Instance Learning with Mixed Supervision in Gleason Grading
With the development of computational pathology, deep learning methods f...
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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...
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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...
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05/20/2022
Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging
In coded aperture snapshot spectral compressive imaging (CASSI) systems,...
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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 ...
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04/17/2022
MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction
Existing leading methods for spectral reconstruction (SR) focus on desig...
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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 ...
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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...
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03/09/2022
Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstruction
Many algorithms have been developed to solve the inverse problem of code...
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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...
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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...
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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...
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01/06/2022
Flow-Guided Sparse Transformer for Video Deblurring
Exploiting similar and sharper scene patches in spatio-temporal neighbor...
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11/15/2021
Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction
Hyperspectral image (HSI) reconstruction aims to recover the 3D spatial-...
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08/16/2021
Real-time Human-Centric Segmentation for Complex Video Scenes
Most existing video tasks related to "human" focus on the segmentation o...
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07/22/2021
PoseDet: Fast Multi-Person Pose Estimation Using Pose Embedding
Current methods of multi-person pose estimation typically treat the loca...
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07/03/2021
Imaging dynamics beneath turbid media via parallelized single-photon detection
Noninvasive optical imaging through dynamic scattering media has numerou...
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02/24/2021
Enabling the Network to Surf the Internet
Few-shot learning is challenging due to the limited data and labels. Exi...
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03/09/2020
Learning Delicate Local Representations for Multi-Person Pose Estimation
In this paper, we propose a novel method called Residual Steps Network (...
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08/20/2019
Non-negative Sparse and Collaborative Representation for Pattern Classification
Sparse representation (SR) and collaborative representation (CR) have be...
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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...
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06/16/2019
STAR: A Structure and Texture Aware Retinex Model
Retinex theory is developed mainly to decompose an image into the illumi...
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12/29/2018
SPI-Optimizer: an integral-Separated PI Controller for Stochastic Optimization
To overcome the oscillation problem in the classical momentum-based opti...
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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...
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12/01/2015
