350 citations · 526 across the 17 of their papers we have counts for
19 papers
Improved Distribution Matching for Dataset Condensation
Ganlong Zhao, Guanbin Li, Yipeng Qin +1
Dataset Condensation aims to condense a large dataset into a smaller one while maintaining its ability to train a well-performing model, thus reducing the storage cost and training…
Universal Semi-supervised Model Adaptation via Collaborative Consistency Training
Zizheng Yan, Yushuang Wu, Yipeng Qin +3
In this paper, we introduce a realistic and challenging domain adaptation problem called Universal Semi-supervised Model Adaptation (USMA), which i) requires only a pre-trained sou…
Exploration and Exploitation of Unlabeled Data for Open-Set Semi-Supervised Learning
Ganlong Zhao, Guanbin Li, Yipeng Qin +5
In this paper, we address a complex but practical scenario in semi-supervised learning (SSL) named open-set SSL, where unlabeled data contain both in-distribution (ID) and out-of-d…
Parametric Implicit Face Representation for Audio-Driven Facial Reenactment
Ricong Huang, Peiwen Lai, Yipeng Qin +1
Audio-driven facial reenactment is a crucial technique that has a range of applications in film-making, virtual avatars and video conferences. Existing works either employ explicit…
Motion-R3: Fast and Accurate Motion Annotation via Representation-based Representativeness Ranking
Jubo Yu, Tianxiang Ren, Shihui Guo +6
In this paper, we follow a data-centric philosophy and propose a novel motion annotation method based on the inherent representativeness of motion data in a given dataset. Specific…
Diverse Motion In-betweening with Dual Posture Stitching
Tianxiang Ren, Jubo Yu, Shihui Guo +5
In-betweening is a technique for generating transitions given initial and target character states. The majority of existing works require multiple (often 10) frames as input, wh…