Anti-UAV20
* *Catch UAVs That Want to Watch You: Detection and Tracking of Unmanned Aerial Vehicle in the Wild
* Effect of Annotation Errors on Drone Detection with YOLOv3
* IPG-Net: Image Pyramid Guidance Network for Small Object Detection
* Real-time Robust Approach for Tracking UAVs in Infrared Videos, A
* Real-time Tracking with Stabilized Frame
Anti-UAV21
* *Catch UAVs That Want to Watch You: Detection and Tracking of Unmanned Aerial Vehicle in the Wild
* Real-time Anti-distractor Infrared UAV Tracker with Channel Feature Refinement Module, A
* Semi-Automatic Annotation For Visual Object Tracking
* SiamSTA: Spatio-Temporal Attention based Siamese Tracker for Tracking UAVs
* Unified Approach for Tracking UAVs in Infrared, A
* Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark
AnticipateBeh18
* *Anticipating Human Behavior
* Action Alignment from Gaze Cues in Human-Human and Human-Robot Interaction
* Action Anticipation by Predicting Future Dynamic Images
* Context Graph Based Video Frame Prediction Using Locally Guided Objective
* Convolutional Neural Network for Trajectory Prediction
* Forecasting Hands and Objects in Future Frames
* Group LSTM: Group Trajectory Prediction in Crowded Scenarios
* Joint Future Semantic and Instance Segmentation Prediction
* Predicting Action Tubes
* RED: A Simple but Effective Baseline Predictor for the TrajNet Benchmark
10 for AnticipateBeh18