95 citations · 324 across the 18 of their papers we have counts for
18 papers
AvatarVerse: High-quality & Stable 3D Avatar Creation from Text and Pose
Huichao Zhang, Bowen Chen, Hao Yang +7
Creating expressive, diverse and high-quality 3D avatars from highly customized text descriptions and pose guidance is a challenging task, due to the intricacy of modeling and text…
HandMIM: Pose-Aware Self-Supervised Learning for 3D Hand Mesh Estimation
Zuyan Liu, Gaojie Lin, Congyi Wang +2
With an enormous number of hand images generated over time, unleashing pose knowledge from unlabeled images for supervised hand mesh estimation is an emerging yet challenging topic…
MeMaHand: Exploiting Mesh-Mano Interaction for Single Image Two-Hand Reconstruction
Congyi Wang, Feida Zhu, Shilei Wen
Existing methods proposed for hand reconstruction tasks usually parameterize a generic 3D hand model or predict hand mesh positions directly. The parametric representations consist…
GP-VTON: Towards General Purpose Virtual Try-on via Collaborative Local-Flow Global-Parsing Learning
Zhenyu Xie, Zaiyu Huang, Xin Dong +5
Image-based Virtual Try-ON aims to transfer an in-shop garment onto a specific person. Existing methods employ a global warping module to model the anisotropic deformation for diff…
Code Will Tell: Visual Identification of Ponzi Schemes on Ethereum
Xiaolin Wen, Kim Siang Yeo, Yong Wang +3
Ethereum has become a popular blockchain with smart contracts for investors nowadays. Due to the decentralization and anonymity of Ethereum, Ponzi schemes have been easily deployed…
NFTDisk: Visual Detection of Wash Trading in NFT Markets
Xiaolin Wen, Yong Wang, Xuanwu Yue +2
With the growing popularity of Non-Fungible Tokens (NFT), a new type of digital assets, various fraudulent activities have appeared in NFT markets. Among them, wash trading has bec…
Evolve Path Tracer: Early Detection of Malicious Addresses in Cryptocurrency
Ling Cheng, Feida Zhu, Yong Wang +2
With the ever-increasing boom of Cryptocurrency, detecting fraudulent behaviors and associated malicious addresses draws significant research effort. However, most existing studies…
Toward Intention Discovery for Early Malice Detection in Bitcoin
Ling Cheng, Feida Zhu, Yong Wang +1
Bitcoin has been subject to illicit activities more often than probably any other financial assets, due to the pseudo-anonymous nature of its transacting entities. An ideal detecti…
Improving Knowledge-aware Recommendation with Multi-level Interactive Contrastive Learning
Ding Zou, Wei Wei, Ziyang Wang +4
Incorporating Knowledge Graphs (KG) into recommeder system has attracted considerable attention. Recently, the technical trend of Knowledge-aware Recommendation (KGR) is to develop…
PASTA-GAN++: A Versatile Framework for High-Resolution Unpaired Virtual Try-on
Zhenyu Xie, Zaiyu Huang, Fuwei Zhao +5
Image-based virtual try-on is one of the most promising applications of human-centric image generation due to its tremendous real-world potential. In this work, we take a step forw…
Automatic Noisy Label Correction for Fine-Grained Entity Typing
Weiran Pan, Wei Wei, Feida Zhu
Fine-grained entity typing (FET) aims to assign proper semantic types to entity mentions according to their context, which is a fundamental task in various entity-leveraging applic…
Declaration-based Prompt Tuning for Visual Question Answering
Yuhang Liu, Wei Wei, Daowan Peng +1
In recent years, the pre-training-then-fine-tuning paradigm has yielded immense success on a wide spectrum of cross-modal tasks, such as visual question answering (VQA), in which a…
Geometry-Entangled Visual Semantic Transformer for Image Captioning
Ling Cheng, Wei Wei, Feida Zhu +2
Recent advancements of image captioning have featured Visual-Semantic Fusion or Geometry-Aid attention refinement. However, those fusion-based models, they are still criticized for…
Data Pricing in Machine Learning Pipelines
Zicun Cong, Xuan Luo, Pei Jian +2
Machine learning is disruptive. At the same time, machine learning can only succeed by collaboration among many parties in multiple steps naturally as pipelines in an eco-system, s…
PNEN: Pyramid Non-Local Enhanced Networks
Feida Zhu, Chaowei Fang, Kai-Kuang Ma
Existing neural networks proposed for low-level image processing tasks are usually implemented by stacking convolution layers with limited kernel size. Every convolution layer mere…
Collaborative Learning for Faster StyleGAN Embedding
Shanyan Guan, Ying Tai, Bingbing Ni +3
The latent code of the recent popular model StyleGAN has learned disentangled representations thanks to the multi-layer style-based generator. Embedding a given image back to the l…
A Benchmark for Edge-Preserving Image Smoothing
Feida Zhu, Zhetong Liang, Xixi Jia +2
Edge-preserving image smoothing is an important step for many low-level vision problems. Though many algorithms have been proposed, there are several difficulties hindering its fur…
Automatic Image Stylization Using Deep Fully Convolutional Networks
Feida Zhu, Yizhou Yu
Color and tone stylization strives to enhance unique themes with artistic color and tone adjustments. It has a broad range of applications from professional image postprocessing to…