You are kindly encouraged to contribute to and help shape the conference through submissions of your research abstracts and papers to DLCV 2025 conference. Topics of interest for submission include:

Track 1: Deep Learning

Machine Learning
Unsupervised Learning
Deep Reinforcement Learning
Convolutional Neural Networks (CNN)
Deep Hierarchical Networks (DHN)
Recurrent Neural Network (RNN)
Neuro-Fuzzy Algorithms
Autoencoders
Graph Representation Learning
Clustering, Classification and Regression
Evolutionary Methods
Autonomic Computing
User Modeling
Information Retrieval and Reuse
Question-Answering
Cognitive Architectures
Deep Learning Approach in Recommendation Systems

Track 2: Computer Vision

Big data and computer vision
Biomedical image analysis
Image and video coding
Image and video retrieval
Remote sensing image
Computational photography
Optimization and method of study
Sensor and display
Data collection and performance analysis
Computer vision of deep learning
Document image analysis
Character identification
Analysis, behavior identity
Visual models
Video analysis
Multimodal information processing
Visual and language
Motion and tracking
3D reconstruction
Human-computer interaction