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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...
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08/11/2023
Generalizing Event-Based Motion Deblurring in Real-World Scenarios
Event-based motion deblurring has shown promising results by exploiting ...
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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...
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07/17/2023
Video Frame Interpolation with Stereo Event and Intensity Camera
The stereo event-intensity camera setup is widely applied to leverage th...
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05/23/2023
WaveDM: Wavelet-Based Diffusion Models for Image Restoration
Latest diffusion-based methods for many image restoration tasks outperfo...
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05/19/2023
AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning
Continual learning aims to enable a model to incrementally learn knowled...
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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...
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05/17/2023
Controllable Mind Visual Diffusion Model
Brain signal visualization has emerged as an active research area, servi...
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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...
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04/26/2023
Towards Medical Artificial General Intelligence via Knowledge-Enhanced Multimodal Pretraining
Medical artificial general intelligence (MAGI) enables one foundation mo...
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04/06/2023
Face Animation with an Attribute-Guided Diffusion Model
Face animation has achieved much progress in computer vision. However, p...
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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...
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03/29/2023
Implicit Diffusion Models for Continuous Super-Resolution
Image super-resolution (SR) has attracted increasing attention due to it...
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02/27/2023
Learning to Super-Resolve Blurry Images with Events
Super-Resolution from a single motion Blurred image (SRB) is a severely ...
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02/13/2023
Actional Atomic-Concept Learning for Demystifying Vision-Language Navigation
Vision-Language Navigation (VLN) is a challenging task which requires an...
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12/12/2022
Feature Calibration Network for Occluded Pedestrian Detection
Pedestrian detection in the wild remains a challenging problem especiall...
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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...
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09/21/2022
FNeVR: Neural Volume Rendering for Face Animation
Face animation, one of the hottest topics in computer vision, has achiev...
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09/02/2022
Structure-Preserving Graph Representation Learning
Though graph representation learning (GRL) has made significant progress...
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08/28/2022
Removing Rain Streaks via Task Transfer Learning
Due to the difficulty in collecting paired real-world training data, ima...
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08/27/2022
Anti-Retroactive Interference for Lifelong Learning
Humans can continuously learn new knowledge. However, machine learning m...
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08/23/2022
Low-Light Video Enhancement with Synthetic Event Guidance
Low-light video enhancement (LLVE) is an important yet challenging task ...
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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...
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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...
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05/31/2022
ADAPT: Vision-Language Navigation with Modality-Aligned Action Prompts
Vision-Language Navigation (VLN) is a challenging task that requires an ...
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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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05/06/2022
Prompt Distribution Learning
We present prompt distribution learning for effectively adapting a pre-t...
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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...
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03/12/2022
Differentiated Relevances Embedding for Group-based Referring Expression Comprehension
Referring expression comprehension (REC) aims to locate a certain object...
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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...
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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...
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09/28/2021
Motion Deblurring with Real Events
In this paper, we propose an end-to-end learning framework for event-bas...
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09/12/2021
Prioritized Subnet Sampling for Resource-Adaptive Supernet Training
A resource-adaptive supernet adjusts its subnets for inference to fit th...
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08/03/2021
Wavelet-Based Network For High Dynamic Range Imaging
High dynamic range (HDR) imaging from multiple low dynamic range (LDR) i...
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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 ...
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06/07/2021
Multi-Target Domain Adaptation with Collaborative Consistency Learning
Recently unsupervised domain adaptation for the semantic segmentation ta...
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06/06/2021
Uformer: A General U-Shaped Transformer for Image Restoration
In this paper, we present Uformer, an effective and efficient Transforme...
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05/24/2021
Towards Compact CNNs via Collaborative Compression
Channel pruning and tensor decomposition have received extensive attenti...
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04/06/2021
Multiple instance active learning for object detection
Despite the substantial progress of active learning for image recognitio...
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03/23/2021
ReCU: Reviving the Dead Weights in Binary Neural Networks
Binary neural networks (BNNs) have received increasing attention due to ...
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03/08/2021
Multi-Source Domain Adaptation with Collaborative Learning for Semantic Segmentation
Multi-source unsupervised domain adaptation (MSDA) aims at adapting mode...
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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...
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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...
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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...
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09/08/2020
Binarized Neural Architecture Search for Efficient Object Recognition
Traditional neural architecture search (NAS) has a significant impact in...
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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...
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07/27/2020
Dual Distribution Alignment Network for Generalizable Person Re-Identification
Domain generalization (DG) serves as a promising solution to handle pers...
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07/14/2020
Wavelet-Based Dual-Branch Network for Image Demoireing
When smartphone cameras are used to take photos of digital screens, usua...
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05/08/2020
Projection Probability-Driven Black-Box Attack
Generating adversarial examples in a black-box setting retains a signifi...
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03/29/2020
