203 citations · 1.1k across the 46 of their papers we have counts for
10 papers · 1 filter
Distributional Domain-Invariant Preference Matching for Cross-Domain Recommendation
Jing Du, Zesheng Ye, Bin Guo +2
Learning accurate cross-domain preference mappings in the absence of overlapped users/items has presented a persistent challenge in Non-overlapping Cross-domain Recommendation (NOC…
Two-stream Multi-level Dynamic Point Transformer for Two-person Interaction Recognition
Yao Liu, Gangfeng Cui, Jiahui Luo +2
As a fundamental aspect of human life, two-person interactions contain meaningful information about people's activities, relationships, and social settings. Human action recognitio…
SAM-DA: UAV Tracks Anything at Night with SAM-Powered Domain Adaptation
Changhong Fu, Liangliang Yao, Haobo Zuo +2
Domain adaptation (DA) has demonstrated significant promise for real-time nighttime unmanned aerial vehicle (UAV) tracking. However, the state-of-the-art (SOTA) DA still lacks the…
Distilled Mid-Fusion Transformer Networks for Multi-Modal Human Activity Recognition
Jingcheng Li, Lina Yao, Binghao Li +1
Human Activity Recognition is an important task in many human-computer collaborative scenarios, whilst having various practical applications. Although uni-modal approaches have bee…
Adversarially Contrastive Estimation of Conditional Neural Processes
Zesheng Ye, Jing Du, Lina Yao
Conditional Neural Processes~(CNPs) formulate distributions over functions and generate function observations with exact conditional likelihoods. CNPs, however, have limited expres…
SGDViT: Saliency-Guided Dynamic Vision Transformer for UAV Tracking
Liangliang Yao, Changhong Fu, Sihang Li +2
Vision-based object tracking has boosted extensive autonomous applications for unmanned aerial vehicles (UAVs). However, the dynamic changes in flight maneuver and viewpoint encoun…
Uncertainty-Aware Pedestrian Trajectory Prediction via Distributional Diffusion
Yao Liu, Zesheng Ye, Rui Wang +3
Tremendous efforts have been put forth on predicting pedestrian trajectory with generative models to accommodate uncertainty and multi-modality in human behaviors. An individual's…
Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning
Yun Li, Zhe Liu, Saurav Jha +2
Open-World Compositional Zero-Shot Learning (OW-CZSL) aims to recognize new compositions of seen attributes and objects. In OW-CZSL, methods built on the conventional closed-world…
Exploring Challenges and Opportunities to Support Designers in Learning to Co-create with AI-based Manufacturing Design Tools
Frederic Gmeiner, Humphrey Yang, Lining Yao +2
AI-based design tools are proliferating in professional software to assist engineering and industrial designers in complex manufacturing and design tasks. These tools take on more…
Designing Covalent Organic Framework-based Light-driven Microswimmers towards Intraocular Theranostic Applications
Varun Sridhar, Erdost Yildiz, Andrés Rodríguez-Camargo +8
Even micromachines with tailored functionalities enable targeted therapeutic applications in biological environments, their controlled motion in biological media and drug delivery…