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08/07/2023
Learning a Graph Neural Network with Cross Modality Interaction for Image Fusion
Infrared and visible image fusion has gradually proved to be a vital for...
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06/25/2023
DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited Data
Denoising diffusion probabilistic models (DDPMs) have been proven capabl...
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05/19/2023
Few-shot 3D Shape Generation
Realistic and diverse 3D shape generation is helpful for a wide variety ...
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03/06/2023
MotionVideoGAN: A Novel Video Generator Based on the Motion Space Learned from Image Pairs
Video generation has achieved rapid progress benefiting from high-qualit...
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02/08/2023
Gestalt-Guided Image Understanding for Few-Shot Learning
Due to the scarcity of available data, deep learning does not perform we...
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01/17/2023
Distribution Aligned Feature Clustering for Zero-Shot Sketch-Based Image Retrieval
Zero-Shot Sketch-Based Image Retrieval (ZS-SBIR) is a challenging cross-...
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11/07/2022
Few-shot Image Generation with Diffusion Models
Denoising diffusion probabilistic models (DDPMs) have been proven capabl...
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10/27/2022
Few-shot Image Generation via Masked Discrimination
Few-shot image generation aims to generate images of high quality and gr...
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11/08/2021
Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems
We introduce a curriculum learning algorithm, Variational Automatic Curr...
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05/11/2021
Video Frame Interpolation via Structure-Motion based Iterative Fusion
Video Frame Interpolation synthesizes non-existent images between adjace...
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05/21/2020
Unsupervised segmentation via semantic-apparent feature fusion
Foreground segmentation is an essential task in the field of image under...
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03/10/2020
Realizing Pixel-Level Semantic Learning in Complex Driving Scenes based on Only One Annotated Pixel per Class
Semantic segmentation tasks based on weakly supervised condition have be...
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02/19/2020
Weakly-Supervised Semantic Segmentation by Iterative Affinity Learning
Weakly-supervised semantic segmentation is a challenging task as no pixe...
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11/27/2019
Semantic Head Enhanced Pedestrian Detection in a Crowd
Pedestrian detection in the crowd is a challenging task because of intra...
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11/26/2019
WSOD with PSNet and Box Regression
Weakly supervised object detection(WSOD) task uses only image-level anno...
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11/26/2019
Occluded Pedestrian Detection with Visible IoU and Box Sign Predictor
Training a robust classifier and an accurate box regressor are difficult...
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05/09/2019
Pretrain Soft Q-Learning with Imperfect Demonstrations
Pretraining reinforcement learning methods with demonstrations has been ...
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01/29/2019
The FFBS Estimation of High Dimensional Panel Data Factor Stochastic Volatility Models
In this paper, We propose a new style panel data factor stochastic volat...
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06/12/2018
Weakly-Supervised Semantic Segmentation by Iteratively Mining Common Object Features
Weakly-supervised semantic segmentation under image tags supervision is ...
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05/08/2018
Driving maneuvers prediction based on cognition-driven and data-driven method
Advanced Driver Assistance Systems (ADAS) improve driving safety signifi...
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01/31/2018
Pretraining Deep Actor-Critic Reinforcement Learning Algorithms With Expert Demonstrations
Pretraining with expert demonstrations have been found useful in speedin...
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12/14/2016
Single Image Action Recognition using Semantic Body Part Actions
In this paper, we propose a novel single image action recognition algori...
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11/23/2016
Multi-View 3D Object Detection Network for Autonomous Driving
This paper aims at high-accuracy 3D object detection in autonomous drivi...
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08/29/2016
Edge Preserving and Multi-Scale Contextual Neural Network for Salient Object Detection
In this paper, we propose a novel edge preserving and multi-scale contex...
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08/27/2016