activity
20202022
most citedFrom Synthetic to Real: Unsupervised Domain Adaptation for Animal Pose Estimation

8 citations · 31 across the 10 of their papers we have counts for

collaborators

14 papers

cs.CV20221 cited

Synthetic-to-Real Domain Generalized Semantic Segmentation for 3D Indoor Point Clouds

Yuyang Zhao, Na Zhao, Gim Hee Lee

Semantic segmentation in 3D indoor scenes has achieved remarkable performance under the supervision of large-scale annotated data. However, previous works rely on the assumption th…

cs.CV20222 cited

Open World DETR: Transformer based Open World Object Detection

Na Dong, Yongqiang Zhang, Mingli Ding +1

Open world object detection aims at detecting objects that are absent in the object classes of the training data as unknown objects without explicit supervision. Furthermore, the e…

cs.CV20223 cited

CA-UDA: Class-Aware Unsupervised Domain Adaptation with Optimal Assignment and Pseudo-Label Refinement

Can Zhang, Gim Hee Lee

Recent works on unsupervised domain adaptation (UDA) focus on the selection of good pseudo-labels as surrogates for the missing labels in the target data. However, source domain bi…

cs.CV20226 cited

VRAG: Region Attention Graphs for Content-Based Video Retrieval

Kennard Ng, Ser-Nam Lim, Gim Hee Lee

Content-based Video Retrieval (CBVR) is used on media-sharing platforms for applications such as video recommendation and filtering. To manage databases that scale to billions of v…

cs.CV2022

Weakly Supervised Learning of Keypoints for 6D Object Pose Estimation

Meng Tian, Gim Hee Lee

State-of-the-art approaches for 6D object pose estimation require large amounts of labeled data to train the deep networks. However, the acquisition of 6D object pose annotations i…

cs.CV2021

Learning Iterative Robust Transformation Synchronization

Zi Jian Yew, Gim Hee Lee

Transformation Synchronization is the problem of recovering absolute transformations from a given set of pairwise relative motions. Despite its usefulness, the problem remains chal…