4 citations · 8 across the 6 of their papers we have counts for
6 papers
Exploring Consistency in Cross-Domain Transformer for Domain Adaptive Semantic Segmentation
Kaihong Wang, Donghyun Kim, Rogerio Feris +2
While transformers have greatly boosted performance in semantic segmentation, domain adaptive transformers are not yet well explored. We identify that the domain gap can cause disc…
A Unified Framework for Domain Adaptive Pose Estimation
Donghyun Kim, Kaihong Wang, Kate Saenko +2
While pose estimation is an important computer vision task, it requires expensive annotation and suffers from domain shift. In this paper, we investigate the problem of domain adap…
Learning Temporally and Semantically Consistent Unpaired Video-to-video Translation Through Pseudo-Supervision From Synthetic Optical Flow
Kaihong Wang, Kumar Akash, Teruhisa Misu
Unpaired video-to-video translation aims to translate videos between a source and a target domain without the need of paired training data, making it more feasible for real applica…
Consistency Regularization with High-dimensional Non-adversarial Source-guided Perturbation for Unsupervised Domain Adaptation in Segmentation
Kaihong Wang, Chenhongyi Yang, Margrit Betke
Unsupervised domain adaptation for semantic segmentation has been intensively studied due to the low cost of the pixel-level annotation for synthetic data. The most common approach…
Learning to Separate: Detecting Heavily-Occluded Objects in Urban Scenes
Chenhongyi Yang, Vitaly Ablavsky, Kaihong Wang +2
While visual object detection with deep learning has received much attention in the past decade, cases when heavy intra-class occlusions occur have not been studied thoroughly. In…
Scraping Social Media Photos Posted in Kenya and Elsewhere to Detect and Analyze Food Types
Kaihong Wang, Mona Jalal, Sankara Jefferson +3
Monitoring population-level changes in diet could be useful for education and for implementing interventions to improve health. Research has shown that data from social media sourc…