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

1 code implementation • 31 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.

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

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

no code implementations • 18 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 Temporally and Semantically Consistent Unpaired Video-to-video Translation Through Pseudo-Supervision From Synthetic Optical Flow

1 code implementation • 15 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

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

1 code implementation • 22 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

A Unified Framework for Domain Adaptive Pose Estimation

1 code implementation • 1 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

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

1 code implementation • 27 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

CDAC: Cross-domain Attention Consistency in Transformer for Domain Adaptive Semantic Segmentation

1 code implementation • ICCV 2023 • Kaihong Wang, Donghyun Kim, Rogerio Feris, Margrit Betke

While transformers have greatly boosted performance in semantic segmentation, domain adaptive transformers are not yet well explored.

Semantic Segmentation Unsupervised Domain Adaptation