13 citations · 28 across the 9 of their papers we have counts for
9 papers
Mutual Balancing in State-Object Components for Compositional Zero-Shot Learning
Chenyi Jiang, Dubing Chen, Shidong Wang +3
Compositional Zero-Shot Learning (CZSL) aims to recognize unseen compositions from seen states and objects. The disparity between the manually labeled semantic information and its…
Zero-Shot Logit Adjustment
Dubing Chen, Yuming Shen, Haofeng Zhang +1
Semantic-descriptor-based Generalized Zero-Shot Learning (GZSL) poses challenges in recognizing novel classes in the test phase. The development of generative models enables curren…
Deconstructed Generation-Based Zero-Shot Model
Dubing Chen, Yuming Shen, Haofeng Zhang +1
Recent research on Generalized Zero-Shot Learning (GZSL) has focused primarily on generation-based methods. However, current literature has overlooked the fundamental principles of…
Learning to Hash Naturally Sorts
Jiaguo Yu, Yuming Shen, Menghan Wang +2
Learning to hash pictures a list-wise sorting problem. Its testing metrics, e.g., mean-average precision, count on a sorted candidate list ordered by pair-wise code similarity. How…
Boosting Generative Zero-Shot Learning by Synthesizing Diverse Features with Attribute Augmentation
Xiaojie Zhao, Yuming Shen, Shidong Wang +1
The recent advance in deep generative models outlines a promising perspective in the realm of Zero-Shot Learning (ZSL). Most generative ZSL methods use category semantic attributes…
PhysFormer: Facial Video-based Physiological Measurement with Temporal Difference Transformer
Zitong Yu, Yuming Shen, Jingang Shi +3
Remote photoplethysmography (rPPG), which aims at measuring heart activities and physiological signals from facial video without any contact, has great potential in many applicatio…
You Never Cluster Alone
Yuming Shen, Ziyi Shen, Menghan Wang +3
Recent advances in self-supervised learning with instance-level contrastive objectives facilitate unsupervised clustering. However, a standalone datum is not perceiving the context…
Invertible Zero-Shot Recognition Flows
Yuming Shen, Jie Qin, Lei Huang
Deep generative models have been successfully applied to Zero-Shot Learning (ZSL) recently. However, the underlying drawbacks of GANs and VAEs (e.g., the hardness of training with…
Auto-Encoding Twin-Bottleneck Hashing
Yuming Shen, Jie Qin, Jiaxin Chen +5
Conventional unsupervised hashing methods usually take advantage of similarity graphs, which are either pre-computed in the high-dimensional space or obtained from random anchor po…