41 citations · 44 across the 5 of their papers we have counts for
9 papers
Dual-Interest Sequential Product Recommendation With Multi-Granular SSM
Shuiying Liao, P. Y. Mok
Sequential recommendation aims to predict the next item a user will interact with based on their historical behavior. Advances in Transformers have significantly improved sequentia…
Adaptive Preference Modeling via Explicit Indirect Relational Learning for Personalized Fashion Matching
Shuiying Liao, Li Li, P. Y. Mok
Personalized fashion complementary recommendation requires jointly modeling user preferences and item compatibility under sparse and multimodal data conditions. Existing approaches…
PCGNet: Unifying Shared and Specific Information for Fashion Matching Recommendations
Shuiying Liao, P. Y. Mok
In fashion domain, recommending complementary clothing items that match selected pieces is a crucial cross-selling technique that improves customer satisfaction. Nevertheless, fash…
Hamiltonian Spectral-Temporal Dissipative Dynamics for Sequential Recommendation
Shuiying Liao, P. Y. Mok
Sequential recommendation requires understanding how user preferences evolve over time, yet most existing models treat such evolution as a first order process where the next state…
Robust Low-light Scene Restoration via Illumination Transition
Ze Li, Feng Zhang, Xiatian Zhu +3
Synthesizing normal-light novel views from low-light multiview images is an important yet challenging task, given the low visibility and high ISO noise present in the input images.…
Consistency Regularization for Complementary Clothing Recommendations
Shuiying Liao, P. Y. Mok, Li Li
This paper reports on the development of a Consistency Regularized model for Bayesian Personalized Ranking (CR-BPR), addressing to the drawbacks in existing complementary clothing…
Computer-aided Colorization State-of-the-science: A Survey
Yu Cao, Xin Duan, Xiangqiao Meng +3
This paper reviews published research in the field of computer-aided colorization technology. We argue that the colorization task originates from computer graphics, prospers by int…
KTPFormer: Kinematics and Trajectory Prior Knowledge-Enhanced Transformer for 3D Human Pose Estimation
Jihua Peng, Yanghong Zhou, P. Y. Mok
This paper presents a novel Kinematics and Trajectory Prior Knowledge-Enhanced Transformer (KTPFormer), which overcomes the weakness in existing transformer-based methods for 3D hu…
SGDiff: A Style Guided Diffusion Model for Fashion Synthesis
Zhengwentai Sun, Yanghong Zhou, Honghong He +1
This paper reports on the development of \textbf{a novel style guided diffusion model (SGDiff)} which overcomes certain weaknesses inherent in existing models for image synthesis.…