Search Results for author:
Found 6 papers, 3 papers with code
CROVIA: Seeing Drone Scenes from Car Perspective via Cross-View Adaptation
First, a novel geometry-based constraint to cross-view adaptation is introduced based on the geometry correlation between views.
Multi-Camera Multi-Object Tracking on the Move via Single-Stage Global Association Approach
The development of autonomous vehicles generates a tremendous demand for a low-cost solution with a complete set of camera sensors capturing the environment around the car.
DirecFormer: A Directed Attention in Transformer Approach to Robust Action Recognition
Various 3D-CNN based methods have been presented to tackle both the spatial and temporal dimensions in the task of video action recognition with competitive results.
Ranked #1 on
Action Recognition
on Jester (Gesture Recognition)
Class Similarity Weighted Knowledge Distillation for Continual Semantic Segmentation
Our CSW-KD method distills the knowledge of a previous model on old classes that are similar to the new one.
D-Net: A Generalised and Optimised Deep Network for Monocular Depth Estimation
Depth estimation is an essential component in computer vision systems for achieving 3D scene understanding.
Ranked #26 on
Monocular Depth Estimation
on KITTI Eigen split
BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation
Semantic segmentation aims to predict pixel-level labels.
