Advancing Self-Supervised Deep Learning for 3D Scene Understanding

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Advancing Self-Supervised Deep Learning for 3D Scene Understanding

Chat with Graph Search

Transfer learning-based approach for evaluating residual stiffness in carbon fiber reinforced composites and adhesives

Development of a blind control occupant behaviour model (BC-OBM) based on contextual and time-related factors through supervised machine learning approaches

Aggregating Spatial and Photometric Context for Photometric Stereo

Robust machine learning for neuroscientific inference

Fast and Future: Towards Efficient Forecasting in Video Semantic Segmentation

Infusing structured knowledge priors in neural models for sample-efficient symbolic reasoning

Efficient Temporally-Aware DeepFake Detection using H.264 Motion Vectors

Incorporating Projective Geometry into Deep Learning

Few-shot Learning for Efficient and Effective Machine Learning Model Adaptation

Multi-temporal forest monitoring in the Swiss Alps with knowledge-guided deep learning

Robust NAS under adversarial training: benchmark, theory, and beyond

Understanding generalization and robustness in modern deep learning

Topics in statistical physics of high-dimensional machine learning

Deep learning approach for identification of H II regions during reionization in 21-cm observations - II. Foreground contamination

Random matrix methods for high-dimensional machine learning models

Land Cover Mapping From Multiple Complementary Experts Under Heavy Class Imbalance

Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning through Object Exchange

Predicting the long-term collective behaviour of fish pairs with deep learning

The multimodality cell segmentation challenge: toward universal solutions

Network time series forecasting in photovoltaics power production