17 citations · 22 across the 8 of their papers we have counts for
10 papers
Calibration Is Not Verification: Answer-Level Conformal Guarantees for Mixture-of-Agents
Nada Rahali, Zijia Wang, Zhi-Song Liu +1
Web answer synthesis with Mixture-of-Agents (MoA) requires reliable factual support for every atomic claim, yet agreement among agents is not verification. Correlated proposers can…
Bridging Text and Image for Artist Style Transfer via Contrastive Learning
Zhi-Song Liu, Li-Wen Wang, Jun Xiao +1
Image style transfer has attracted widespread attention in the past few years. Despite its remarkable results, it requires additional style images available as references, making i…
Downscaling Neural Network for Coastal Simulations
Zhi-Song Liu, Markus Büttner, Matthew Scarborough +4
Learning the fine-scale details of a coastal ocean simulation from a coarse representation is a challenging task. For real-world applications, high-resolution simulations are neces…
Neural Network Emulator for Atmospheric Chemical ODE
Zhi-Song Liu, Petri Clusius, Michael Boy
Modeling atmospheric chemistry is complex and computationally intense. Given the recent success of Deep neural networks in digital signal processing, we propose a Neural Network Em…
StyleMamba : State Space Model for Efficient Text-driven Image Style Transfer
Zijia Wang, Zhi-Song Liu
We present StyleMamba, an efficient image style transfer framework that translates text prompts into corresponding visual styles while preserving the content integrity of the origi…
FunnyNet-W: Multimodal Learning of Funny Moments in Videos in the Wild
Zhi-Song Liu, Robin Courant, Vicky Kalogeiton
Automatically understanding funny moments (i.e., the moments that make people laugh) when watching comedy is challenging, as they relate to various features, such as body language,…
See360: Novel Panoramic View Interpolation
Zhi-Song Liu, Marie-Paule Cani, Wan-Chi Siu
We present See360, which is a versatile and efficient framework for 360 panoramic view interpolation using latent space viewpoint estimation. Most of the existing view rendering ap…
Arbitrary point cloud upsampling via Dual Back-Projection Network
Zhi-Song Liu, Zijia Wang, Zhen Jia
Point clouds acquired from 3D sensors are usually sparse and noisy. Point cloud upsampling is an approach to increase the density of the point cloud so that detailed geometric info…
Name Your Style: An Arbitrary Artist-aware Image Style Transfer
Zhi-Song Liu, Li-Wen Wang, Wan-Chi Siu +1
Image style transfer has attracted widespread attention in the past few years. Despite its remarkable results, it requires additional style images available as references, making i…
Multiple Style Transfer via Variational AutoEncoder
Zhi-Song Liu, Vicky Kalogeiton, Marie-Paule Cani
Modern works on style transfer focus on transferring style from a single image. Recently, some approaches study multiple style transfer; these, however, are either too slow or fail…