Search Results for author:
Found 7 papers, 0 papers with code
Global-guided Focal Neural Radiance Field for Large-scale Scene Rendering
The global stage obtains a continuous representation of the entire scene while the focal stage decomposes the scene into multiple blocks and further processes them with distinct sub-encoders.
Fine-tuning Large Language Models for Multigenerator, Multidomain, and Multilingual Machine-Generated Text Detection
The task comprises three subtasks: binary classification in monolingual and multilingual (Subtask A), multi-class classification (Subtask B), and mixed text detection (Subtask C).
YOLO-Drone:Airborne real-time detection of dense small objects from high-altitude perspective
With regards to UAVDT, the YOLO-Drone exhibits both high real-time inference speed of 53 FPS and a maximum mAP of 34. 04%.
Ranked #1 on
Object Detection
on India Driving Dataset
FIND:Explainable Framework for Meta-learning
Meta-learning is used to efficiently enable the automatic selection of machine learning models by combining data and prior knowledge.
Double Anchor R-CNN for Human Detection in a Crowd
Double Anchor RPN is developed to capture body and head parts in pairs.
Predicting Learning Status in MOOCs using LSTM
Real-time and open online course resources of MOOCs have attracted a large number of learners in recent years.
Spatiotemporal Modeling for Crowd Counting in Videos
To exploit the otherwise very useful temporal information in video sequences, we propose a variant of a recent deep learning model called convolutional LSTM (ConvLSTM) for crowd counting.
