Search Results for author:
Found 4 papers, 2 papers with code
Bi-directional Contrastive Learning for Domain Adaptive Semantic Segmentation
We present a novel unsupervised domain adaptation method for semantic segmentation that generalizes a model trained with source images and corresponding ground-truth labels to a target domain.
Video-based Person Re-identification with Spatial and Temporal Memory Networks
Spatial and temporal distractors in person videos, such as background clutter and partial occlusions over frames, respectively, make this task much more challenging than image-based person reID.
Ranked #8 on
Person Re-Identification
on MARS
Learning Disentangled Representation for Robust Person Re-identification
We address the problem of person re-identification (reID), that is, retrieving person images from a large dataset, given a query image of the person of interest.
Ranked #43 on
Person Re-Identification
on DukeMTMC-reID
Temporally Consistent Depth Prediction with Flow-Guided Memory Units
To address this problem, we propose to memorize temporal consistency in the video sequence, and leverage it for the task of depth prediction.
