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Found 16 papers, 3 papers with code
NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: Methods and Results
This paper presents a review for the NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement.
Technique Report of CVPR 2024 PBDL Challenges
The intersection of physics-based vision and deep learning presents an exciting frontier for advancing computer vision technologies.
Reconstructive Sequence-Graph Network for Video Summarization
Then, the videos are summarized by exploiting both the local and global dependencies among shots.
Bio-Inspired Representation Learning for Visual Attention Prediction
In this paper, a novel VAP method is proposed to generate visual attention map via bio-inspired representation learning.
A Supervised Segmentation Network for Hyperspectral Image Classification
To explore the spatial information for HSI classification, pixels with its adjacent pixels are usually directly cropped from hyperspectral data to form HSI cubes in CNN-based methods.
Vision-to-Language Tasks Based on Attributes and Attention Mechanism
To make full use of these information, this paper attempt to exploit the text guided attention and semantic-guided attention (SA) to find the more correlated spatial information and reduce the semantic gap between vision and language.
Hierarchical Recurrent Neural Network for Video Summarization
Compared to traditional RNNs, H-RNN is more suitable to video summarization, since it can exploit long temporal dependency among frames, meanwhile, the computation operations are significantly lessened.
A CNN-RNN Architecture for Multi-Label Weather Recognition
To address this problem, we make the first attempt to view weather recognition as a multi-label classification task, i. e., assigning an image more than one labels according to the displayed weather conditions.
A General Framework for Edited Video and Raw Video Summarization
Besides, the property-weights are learned for edited videos and raw videos, respectively.
3G structure for image caption generation
In this paper, we propose a model with 3-gated model which fuses the global and local image features together for the task of image caption generation.
Multi-modal gated recurrent units for image description
And in the testing step, when an image is imported to our multi-modal GRU model, a sentence which describes the image content is generated.
HSA-RNN: Hierarchical Structure-Adaptive RNN for Video Summarization
Although video summarization has achieved great success in recent years, few approaches have realized the influence of video structure on the summarization results.
Exploring Models and Data for Remote Sensing Image Caption Generation
Finally, a comprehensive review is presented on the proposed data set to fully advance the task of remote sensing caption.
Image2song: Song Retrieval via Bridging Image Content and Lyric Words
Image is usually taken for expressing some kinds of emotions or purposes, such as love, celebrating Christmas.
Remote Sensing Image Scene Classification: Benchmark and State of the Art
During the past years, significant efforts have been made to develop various datasets or present a variety of approaches for scene classification from remote sensing images.
Temporal Multimodal Learning in Audiovisual Speech Recognition
Recently, audiovisual speech recognition based the MRBM has attracted much attention, and the MRBM shows its effectiveness in learning the joint representation across audiovisual modalities.
