29 citations · 79 across the 13 of their papers we have counts for
14 papers
LangSplat: 3D Language Gaussian Splatting
Minghan Qin, Wanhua Li, Jiawei Zhou +2
Humans live in a 3D world and commonly use natural language to interact with a 3D scene. Modeling a 3D language field to support open-ended language queries in 3D has gained increa…
CLIPTrans: Transferring Visual Knowledge with Pre-trained Models for Multimodal Machine Translation
Devaansh Gupta, Siddhant Kharbanda, Jiawei Zhou +3
There has been a growing interest in developing multimodal machine translation (MMT) systems that enhance neural machine translation (NMT) with visual knowledge. This problem setup…
DiffTalk: Crafting Diffusion Models for Generalized Audio-Driven Portraits Animation
Shuai Shen, Wenliang Zhao, Zibin Meng +4
Talking head synthesis is a promising approach for the video production industry. Recently, a lot of effort has been devoted in this research area to improve the generation quality…
Learning Dynamic Facial Radiance Fields for Few-Shot Talking Head Synthesis
Shuai Shen, Wanhua Li, Zheng Zhu +3
Talking head synthesis is an emerging technology with wide applications in film dubbing, virtual avatars and online education. Recent NeRF-based methods generate more natural talki…
Label2Label: A Language Modeling Framework for Multi-Attribute Learning
Wanhua Li, Zhexuan Cao, Jianjiang Feng +2
Objects are usually associated with multiple attributes, and these attributes often exhibit high correlations. Modeling complex relationships between attributes poses a great chall…
MetaAge: Meta-Learning Personalized Age Estimators
Wanhua Li, Jiwen Lu, Abudukelimu Wuerkaixi +2
Different people age in different ways. Learning a personalized age estimator for each person is a promising direction for age estimation given that it better models the personaliz…
OrdinalCLIP: Learning Rank Prompts for Language-Guided Ordinal Regression
Wanhua Li, Xiaoke Huang, Zheng Zhu +4
This paper presents a language-powered paradigm for ordinal regression. Existing methods usually treat each rank as a category and employ a set of weights to learn these concepts.…
Reasoning Graph Networks for Kinship Verification: from Star-shaped to Hierarchical
Wanhua Li, Jiwen Lu, Abudukelimu Wuerkaixi +2
In this paper, we investigate the problem of facial kinship verification by learning hierarchical reasoning graph networks. Conventional methods usually focus on learning discrimin…
Meta-Mining Discriminative Samples for Kinship Verification
Wanhua Li, Shiwei Wang, Jiwen Lu +2
Kinship verification aims to find out whether there is a kin relation for a given pair of facial images. Kinship verification databases are born with unbalanced data. For a databas…
Structure-Aware Face Clustering on a Large-Scale Graph with Nodes
Shuai Shen, Wanhua Li, Zheng Zhu +4
Face clustering is a promising method for annotating unlabeled face images. Recent supervised approaches have boosted the face clustering accuracy greatly, however their performanc…
Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression
Wanhua Li, Xiaoke Huang, Jiwen Lu +2
Uncertainty is the only certainty there is. Modeling data uncertainty is essential for regression, especially in unconstrained settings. Traditionally the direct regression formula…
Graph-Based Social Relation Reasoning
Wanhua Li, Yueqi Duan, Jiwen Lu +2
Human beings are fundamentally sociable -- that we generally organize our social lives in terms of relations with other people. Understanding social relations from an image has gre…
Graph-based Kinship Reasoning Network
Wanhua Li, Yingqiang Zhang, Kangchen Lv +3
In this paper, we propose a graph-based kinship reasoning (GKR) network for kinship verification, which aims to effectively perform relational reasoning on the extracted features o…
BridgeNet: A Continuity-Aware Probabilistic Network for Age Estimation
Wanhua Li, Jiwen Lu, Jianjiang Feng +3
Age estimation is an important yet very challenging problem in computer vision. Existing methods for age estimation usually apply a divide-and-conquer strategy to deal with heterog…