Search Results for author: Kaihong Wang

Found 8 papers, 7 papers with code

Exploring Consistency in Cross-Domain Transformer for Domain Adaptive Semantic Segmentation

1 code implementation27 Nov 2022 Kaihong Wang, Donghyun Kim, Rogerio Feris, Kate Saenko, Margrit Betke

We propose to perform adaptation on attention maps with cross-domain attention layers that share features between the source and the target domains.

Semantic Segmentation Unsupervised Domain Adaptation

A Unified Framework for Domain Adaptive Pose Estimation

1 code implementation1 Apr 2022 Donghyun Kim, Kaihong Wang, Kate Saenko, Margrit Betke, Stan Sclaroff

In this paper, we investigate the problem of domain adaptive 2D pose estimation that transfers knowledge learned on a synthetic source domain to a target domain without supervision.

2D Pose Estimation Animal Pose Estimation +2

A Broad Study of Pre-training for Domain Generalization and Adaptation

1 code implementation22 Mar 2022 Donghyun Kim, Kaihong Wang, Stan Sclaroff, Kate Saenko

In this paper, we provide a broad study and in-depth analysis of pre-training for domain adaptation and generalization, namely: network architectures, size, pre-training loss, and datasets.

Domain Generalization

Learning Temporally and Semantically Consistent Unpaired Video-to-video Translation Through Pseudo-Supervision From Synthetic Optical Flow

1 code implementation15 Jan 2022 Kaihong Wang, Kumar Akash, Teruhisa Misu

In this work, we propose a novel paradigm that regularizes the spatiotemporal consistency by synthesizing motions in input videos with the generated optical flow instead of estimating them.

Motion Estimation Optical Flow Estimation +1

Consistency Regularization with High-dimensional Non-adversarial Source-guided Perturbation for Unsupervised Domain Adaptation in Segmentation

no code implementations18 Sep 2020 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.

Semantic Segmentation Style Transfer +1

Learning to Separate: Detecting Heavily-Occluded Objects in Urban Scenes

1 code implementation ECCV 2020 Chenhongyi Yang, Vitaly Ablavsky, Kaihong Wang, Qi Feng, Margrit Betke

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.

object-detection Object Detection +1

Scraping Social Media Photos Posted in Kenya and Elsewhere to Detect and Analyze Food Types

1 code implementation31 Aug 2019 Kaihong Wang, Mona Jalal, Sankara Jefferson, Yi Zheng, Elaine O. Nsoesie, Margrit Betke

We also propose a scrape-by-keywords methodology and used it to scrape ~30, 000 images and their captions of 38 Kenyan food types.

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