Jianzhuang Liu

research

∙ 08/16/2023

Low-Light Image Enhancement with Illumination-Aware Gamma Correction and Complete Image Modelling Network

This paper presents a novel network structure with illumination-aware ga...

0 Yinglong Wang, et al. ∙

research

∙ 08/11/2023

Generalizing Event-Based Motion Deblurring in Real-World Scenarios

Event-based motion deblurring has shown promising results by exploiting ...

0 Xiang Zhang, et al. ∙

research

∙ 08/09/2023

MixReorg: Cross-Modal Mixed Patch Reorganization is a Good Mask Learner for Open-World Semantic Segmentation

Recently, semantic segmentation models trained with image-level text sup...

0 Kaixin Cai, et al. ∙

research

∙ 07/17/2023

Video Frame Interpolation with Stereo Event and Intensity Camera

The stereo event-intensity camera setup is widely applied to leverage th...

0 Chao Ding, et al. ∙

research

∙ 05/23/2023

WaveDM: Wavelet-Based Diffusion Models for Image Restoration

Latest diffusion-based methods for many image restoration tasks outperfo...

0 Yi Huang, et al. ∙

research

∙ 05/19/2023

AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning

Continual learning aims to enable a model to incrementally learn knowled...

0 Runqi Wang, et al. ∙

research

∙ 05/19/2023

Few-Shot Learning with Visual Distribution Calibration and Cross-Modal Distribution Alignment

Pre-trained vision-language models have inspired much research on few-sh...

0 Runqi Wang, et al. ∙

research

∙ 05/17/2023

Controllable Mind Visual Diffusion Model

Brain signal visualization has emerged as an active research area, servi...

0 Bohan Zeng, et al. ∙

research

∙ 05/05/2023

AsConvSR: Fast and Lightweight Super-Resolution Network with Assembled Convolutions

In recent years, videos and images in 720p (HD), 1080p (FHD) and 4K (UHD...

7 Jiaming Guo, et al. ∙

research

∙ 04/26/2023

Towards Medical Artificial General Intelligence via Knowledge-Enhanced Multimodal Pretraining

Medical artificial general intelligence (MAGI) enables one foundation mo...

17 Bingqian Lin, et al. ∙

research

∙ 04/06/2023

Face Animation with an Attribute-Guided Diffusion Model

Face animation has achieved much progress in computer vision. However, p...

0 Bohan Zeng, et al. ∙

research

∙ 04/05/2023

Recovering Continuous Scene Dynamics from A Single Blurry Image with Events

This paper aims at demystifying a single motion-blurred image with event...

0 Zhangyi Cheng, et al. ∙

research

∙ 03/29/2023

Implicit Diffusion Models for Continuous Super-Resolution

Image super-resolution (SR) has attracted increasing attention due to it...

0 Sicheng Gao, et al. ∙

research

∙ 02/27/2023

Learning to Super-Resolve Blurry Images with Events

Super-Resolution from a single motion Blurred image (SRB) is a severely ...

0 Lei Yu, et al. ∙

research

∙ 02/13/2023

Actional Atomic-Concept Learning for Demystifying Vision-Language Navigation

Vision-Language Navigation (VLN) is a challenging task which requires an...

2 Bingqian Lin, et al. ∙

research

∙ 12/12/2022

Feature Calibration Network for Occluded Pedestrian Detection

Pedestrian detection in the wild remains a challenging problem especiall...

0 Tianliang Zhang, et al. ∙

research

∙ 12/04/2022

CoupAlign: Coupling Word-Pixel with Sentence-Mask Alignments for Referring Image Segmentation

Referring image segmentation aims at localizing all pixels of the visual...

8 Zicheng Zhang, et al. ∙

research

∙ 09/21/2022

FNeVR: Neural Volume Rendering for Face Animation

Face animation, one of the hottest topics in computer vision, has achiev...

0 Bohan Zeng, et al. ∙

research

∙ 09/02/2022

Structure-Preserving Graph Representation Learning

Though graph representation learning (GRL) has made significant progress...

0 Ruiyi Fang, et al. ∙

research

∙ 08/28/2022

Removing Rain Streaks via Task Transfer Learning

Due to the difficulty in collecting paired real-world training data, ima...

5 Yinglong Wang, et al. ∙

research

∙ 08/27/2022

Anti-Retroactive Interference for Lifelong Learning

Humans can continuously learn new knowledge. However, machine learning m...

1 Runqi Wang, et al. ∙

research

∙ 08/23/2022

Low-Light Video Enhancement with Synthetic Event Guidance

Low-light video enhancement (LLVE) is an important yet challenging task ...

0 Lin Liu, et al. ∙

research

∙ 08/01/2022

CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimation

Top-down methods dominate the field of 3D human pose and shape estimatio...

8 Zhihao Li, et al. ∙

research

∙ 07/19/2022

Self-Supervision Can Be a Good Few-Shot Learner

Existing few-shot learning (FSL) methods rely on training with a large l...

0 Yuning Lu, et al. ∙

research

∙ 05/31/2022

ADAPT: Vision-Language Navigation with Modality-Aligned Action Prompts

Vision-Language Navigation (VLN) is a challenging task that requires an ...

8 Bingqian Lin, 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

∙ 05/06/2022

Prompt Distribution Learning

We present prompt distribution learning for effectively adapting a pre-t...

0 Yuning Lu, et al. ∙

research

∙ 03/21/2022

Learning Enriched Illuminants for Cross and Single Sensor Color Constancy

Color constancy aims to restore the constant colors of a scene under dif...

1 Xiaodong Cun, et al. ∙

research

∙ 03/12/2022

Differentiated Relevances Embedding for Group-based Referring Expression Comprehension

Referring expression comprehension (REC) aims to locate a certain object...

0 Fuhai Chen, et al. ∙

research

∙ 12/17/2021

SiamTrans: Zero-Shot Multi-Frame Image Restoration with Pre-Trained Siamese Transformers

We propose a novel zero-shot multi-frame image restoration method for re...

10 Lin Liu, et al. ∙

research

∙ 11/17/2021

IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization

Learning to synthesize data has emerged as a promising direction in zero...

0 Yunshan Zhong, et al. ∙

research

∙ 09/28/2021

Motion Deblurring with Real Events

In this paper, we propose an end-to-end learning framework for event-bas...

0 Fang Xu, et al. ∙

research

∙ 09/12/2021

Prioritized Subnet Sampling for Resource-Adaptive Supernet Training

A resource-adaptive supernet adjusts its subnets for inference to fit th...

0 Bohong Chen, et al. ∙

research

∙ 08/03/2021

Wavelet-Based Network For High Dynamic Range Imaging

High dynamic range (HDR) imaging from multiple low dynamic range (LDR) i...

3 Tianhong Dai, et al. ∙

research

∙ 07/14/2021

Training Compact CNNs for Image Classification using Dynamic-coded Filter Fusion

The mainstream approach for filter pruning is usually either to force a ...

0 Mingbao Lin, et al. ∙

research

∙ 06/07/2021

Multi-Target Domain Adaptation with Collaborative Consistency Learning

Recently unsupervised domain adaptation for the semantic segmentation ta...

0 Takashi Isobe, et al. ∙

research

∙ 06/06/2021

Uformer: A General U-Shaped Transformer for Image Restoration

In this paper, we present Uformer, an effective and efficient Transforme...

0 Zhendong Wang, et al. ∙

research

∙ 05/24/2021

Towards Compact CNNs via Collaborative Compression

Channel pruning and tensor decomposition have received extensive attenti...

0 Yuchao Li, et al. ∙

research

∙ 04/06/2021

Multiple instance active learning for object detection

Despite the substantial progress of active learning for image recognitio...

18 Tianning Yuan, et al. ∙

research

∙ 03/23/2021

ReCU: Reviving the Dead Weights in Binary Neural Networks

Binary neural networks (BNNs) have received increasing attention due to ...

4 Zihan Xu, et al. ∙

research

∙ 03/08/2021

Multi-Source Domain Adaptation with Collaborative Learning for Semantic Segmentation

Multi-source unsupervised domain adaptation (MSDA) aims at adapting mode...

0 Jianzhong He, et al. ∙

research

∙ 03/08/2021

Semi-supervised Domain Adaptation based on Dual-level Domain Mixing for Semantic Segmentation

Data-driven based approaches, in spite of great success in many tasks, h...

0 Shuaijun Chen, et al. ∙

research

∙ 01/08/2021

Neighbor2Neighbor: Self-Supervised Denoising from Single Noisy Images

In the last few years, image denoising has benefited a lot from the fast...

4 Tao Huang, et al. ∙

research

∙ 11/03/2020

Self-Adaptively Learning to Demoire from Focused and Defocused Image Pairs

Moire artifacts are common in digital photography, resulting from the in...

2 Lin Liu, et al. ∙

research

∙ 09/08/2020

Binarized Neural Architecture Search for Efficient Object Recognition

Traditional neural architecture search (NAS) has a significant impact in...

0 Hanlin Chen, et al. ∙

research

∙ 09/07/2020

Light Field View Synthesis via Aperture Flow and Propagation Confidence Map

This paper presents a learning-based approach to synthesize the view fro...

19 Nan Meng, et al. ∙

research

∙ 07/27/2020

Dual Distribution Alignment Network for Generalizable Person Re-Identification

Domain generalization (DG) serves as a promising solution to handle pers...

0 Peixian Chen, et al. ∙

research

∙ 07/14/2020

Wavelet-Based Dual-Branch Network for Image Demoireing

When smartphone cameras are used to take photos of digital screens, usua...

6 Lin Liu, et al. ∙

research

∙ 05/08/2020

Projection Probability-Driven Black-Box Attack

Generating adversarial examples in a black-box setting retains a signifi...

0 Jie Li, et al. ∙

research

∙ 03/29/2020

High-Order Residual Network for Light Field Super-Resolution

Plenoptic cameras usually sacrifice the spatial resolution of their SAIs...

0 Nan Meng, et al. ∙

Jianzhuang Liu

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