Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Jieru Mei, Alan Yuille, , | Summary: Recent advances in contrastive language-image pretraining (CLIP) have demonstrated strong capabilities in zero-shot classification by aligning visual representations with target text embeddings in an image level. However, in dense prediction tasks, CLIP often struggles to localize visual features […]
Kavli Affiliate: Ting Xu | First 5 Authors: Qiangbo Zhang, Peicheng Lin, Chang Wang, Yang Zhang, Zeqing Yu | Summary: As the realm of spectral imaging applications extends its reach into the domains of mobile technology and augmented reality, the demands for compact yet high-fidelity systems become increasingly pronounced. Conventional methodologies, exemplified by coded aperture […]
Kavli Affiliate: Feng Wang | First 5 Authors: Yiwen Chen, Zilong Chen, Chi Zhang, Feng Wang, Xiaofeng Yang | Summary: 3D editing plays a crucial role in many areas such as gaming and virtual reality. Traditional 3D editing methods, which rely on representations like meshes and point clouds, often fall short in realistically depicting complex […]
Kavli Affiliate: Feng Wang | First 5 Authors: Yiwen Chen, Zilong Chen, Chi Zhang, Feng Wang, Xiaofeng Yang | Summary: 3D editing plays a crucial role in many areas such as gaming and virtual reality. Traditional 3D editing methods, which rely on representations like meshes and point clouds, often fall short in realistically depicting complex […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Qiao Wang, , , | Summary: We consider the problem of spectral clustering under group fairness constraints, where samples from each sensitive group are approximately proportionally represented in each cluster. Traditional fair spectral clustering (FSC) methods consist of two consecutive stages, i.e., performing fair spectral […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Chen Ji, Xiang Zhang, Lucas Platter, , | Summary: Precision spectroscopy of hyperfine splitting (HFS) is a crucial tool for investigating the structure of nuclei and testing quantum electrodynamics (QED). However, accurate theoretical predictions are hindered by two-photon exchange (TPE) effects. We propose a novel formalism that […]
Kavli Affiliate: Birgitta Whaley | First 5 Authors: Ming Wen, Vibin Abraham, Gaurav Harsha, Avijit Shee, Birgitta Whaley | Summary: We test the performance of self-consistent GW and several representative implementations of vertex corrected G0W0 (G0W0{Gamma}). These approaches are tested on benchmark data sets covering full valence spectra (first ionization potentials and some inner valence […]
Kavli Affiliate: Birgitta Whaley | First 5 Authors: Ming Wen, Vibin Abraham, Gaurav Harsha, Avijit Shee, K. Birgitta Whaley | Summary: We test the performance of self-consistent GW and several representative implementations of vertex corrected G0W0 (G0W0{Gamma}). These approaches are tested on benchmark data sets covering full valence spectra (first ionization potentials and some inner […]
Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, M. Cenk Gursoy, Senem Velipasalar, , | Summary: In this paper, we present a multi-agent deep reinforcement learning (deep RL) framework for network slicing in a dynamic environment with multiple base stations and multiple users. In particular, we propose a novel deep RL framework with […]
Kavli Affiliate: Ting Xu | First 5 Authors: Ting Xu, Zhen Wu, Huiyun Yang, Xinyu Dai, | Summary: Aspect Sentiment Triplet Extraction (ASTE) has achieved promising results while relying on sufficient annotation data in a specific domain. However, it is infeasible to annotate data for each individual domain. We propose to explore ASTE in the […]