activity
20182024
most citedEvery Smile is Unique: Landmark-Guided Diverse Smile Generation

16 citations · 23 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

When Video Coding Meets Multimodal Large Language Models: A Unified Paradigm for Video Coding

Pingping Zhang, Jinlong Li, Kecheng Chen +6

Existing codecs are designed to eliminate intrinsic redundancies to create a compact representation for compression. However, strong external priors from Multimodal Large Language…

cs.CV2023★ 1 cited

Let's ViCE! Mimicking Human Cognitive Behavior in Image Generation Evaluation

Federico Betti, Jacopo Staiano, Lorenzo Baraldi +2

Research in Image Generation has recently made significant progress, particularly boosted by the introduction of Vision-Language models which are able to produce high-quality visua…

cs.CV2022★ 6 cited

Data Augmentation-free Unsupervised Learning for 3D Point Cloud Understanding

Guofeng Mei, Cristiano Saltori, Fabio Poiesi +4

Unsupervised learning on 3D point clouds has undergone a rapid evolution, especially thanks to data augmentation-based contrastive methods. However, data augmentation is not ideal…

cs.CV2022

PI-Trans: Parallel-ConvMLP and Implicit-Transformation Based GAN for Cross-View Image Translation

Bin Ren, Hao Tang, Yiming Wang +3

For semantic-guided cross-view image translation, it is crucial to learn where to sample pixels from the source view image and where to reallocate them guided by the target view se…

cs.CV2018★ 16 cited

Every Smile is Unique: Landmark-Guided Diverse Smile Generation

Wei Wang, Xavier Alameda-Pineda, Dan Xu +3

Each smile is unique: one person surely smiles in different ways (e.g., closing/opening the eyes or mouth). Given one input image of a neutral face, can we generate multiple smile…