19 citations · 80 across the 40 of their papers we have counts for
19 papers · 1 filter
User-Aware Prefix-Tuning is a Good Learner for Personalized Image Captioning
Xuan Wang, Guanhong Wang, Wenhao Chai +2
Image captioning bridges the gap between vision and language by automatically generating natural language descriptions for images. Traditional image captioning methods often overlo…
CityGen: Infinite and Controllable City Layout Generation
Jie Deng, Wenhao Chai, Jianshu Guo +6
The recent surge in interest in city layout generation underscores its significance in urban planning and smart city development. The task involves procedurally or automatically ge…
UniHPE: Towards Unified Human Pose Estimation via Contrastive Learning
Zhongyu Jiang, Wenhao Chai, Lei Li +3
In recent times, there has been a growing interest in developing effective perception techniques for combining information from multiple modalities. This involves aligning features…
Efficient Domain Adaptation via Generative Prior for 3D Infant Pose Estimation
Zhuoran Zhou, Zhongyu Jiang, Wenhao Chai +3
Although 3D human pose estimation has gained impressive development in recent years, only a few works focus on infants, that have different bone lengths and also have limited data.…
See and Think: Embodied Agent in Virtual Environment
Zhonghan Zhao, Wenhao Chai, Xuan Wang +5
Large language models (LLMs) have achieved impressive pro-gress on several open-world tasks. Recently, using LLMs to build embodied agents has been a hotspot. This paper proposes S…
Devil in the Number: Towards Robust Multi-modality Data Filter
Yichen Xu, Zihan Xu, Wenhao Chai +3
In order to appropriately filter multi-modality data sets on a web-scale, it becomes crucial to employ suitable filtering methods to boost performance and reduce training costs. Fo…
Chasing Consistency in Text-to-3D Generation from a Single Image
Yichen Ouyang, Wenhao Chai, Jiayi Ye +3
Text-to-3D generation from a single-view image is a popular but challenging task in 3D vision. Although numerous methods have been proposed, existing works still suffer from the in…
UniAP: Towards Universal Animal Perception in Vision via Few-shot Learning
Meiqi Sun, Zhonghan Zhao, Wenhao Chai +5
Animal visual perception is an important technique for automatically monitoring animal health, understanding animal behaviors, and assisting animal-related research. However, it is…
StableVideo: Text-driven Consistency-aware Diffusion Video Editing
Wenhao Chai, Xun Guo, Gaoang Wang +1
Diffusion-based methods can generate realistic images and videos, but they struggle to edit existing objects in a video while preserving their appearance over time. This prevents d…
PoSynDA: Multi-Hypothesis Pose Synthesis Domain Adaptation for Robust 3D Human Pose Estimation
Hanbing Liu, Jun-Yan He, Zhi-Qi Cheng +8
Existing 3D human pose estimators face challenges in adapting to new datasets due to the lack of 2D-3D pose pairs in training sets. To overcome this issue, we propose \textit{Multi…
A Survey of Deep Learning in Sports Applications: Perception, Comprehension, and Decision
Zhonghan Zhao, Wenhao Chai, Shengyu Hao +6
Deep learning has the potential to revolutionize sports performance, with applications ranging from perception and comprehension to decision. This paper presents a comprehensive su…
MovieChat: From Dense Token to Sparse Memory for Long Video Understanding
Enxin Song, Wenhao Chai, Guanhong Wang +10
Recently, integrating video foundation models and large language models to build a video understanding system can overcome the limitations of specific pre-defined vision tasks. Yet…
Back to Optimization: Diffusion-based Zero-Shot 3D Human Pose Estimation
Zhongyu Jiang, Zhuoran Zhou, Lei Li +3
Learning-based methods have dominated the 3D human pose estimation (HPE) tasks with significantly better performance in most benchmarks than traditional optimization-based methods.…
MPM: A Unified 2D-3D Human Pose Representation via Masked Pose Modeling
Zhenyu Zhang, Wenhao Chai, Zhongyu Jiang +4
Estimating 3D human poses only from a 2D human pose sequence is thoroughly explored in recent years. Yet, prior to this, no such work has attempted to unify 2D and 3D pose represen…
Five A Network: You Only Need 9K Parameters for Underwater Image Enhancement
Jingxia Jiang, Tian Ye, Jinbin Bai +5
A lightweight underwater image enhancement network is of great significance for resource-constrained platforms, but balancing model size, computational efficiency, and enhancement…
Deep Learning Methods for Small Molecule Drug Discovery: A Survey
Wenhao Hu, Yingying Liu, Xuanyu Chen +4
With the development of computer-assisted techniques, research communities including biochemistry and deep learning have been devoted into the drug discovery field for over a decad…
Global Adaptation meets Local Generalization: Unsupervised Domain Adaptation for 3D Human Pose Estimation
Wenhao Chai, Zhongyu Jiang, Jenq-Neng Hwang +1
When applying a pre-trained 2D-to-3D human pose lifting model to a target unseen dataset, large performance degradation is commonly encountered due to domain shift issues. We obser…
Blind Inpainting with Object-aware Discrimination for Artificial Marker Removal
Xuechen Guo, Wenhao Hu, Chiming Ni +3
Medical images often incorporate doctor-added markers that can hinder AI-based diagnosis. This issue highlights the need of inpainting techniques to restore the corrupted visual co…
DiffFashion: Reference-based Fashion Design with Structure-aware Transfer by Diffusion Models
Shidong Cao, Wenhao Chai, Shengyu Hao +3
Image-based fashion design with AI techniques has attracted increasing attention in recent years. We focus on a new fashion design task, where we aim to transfer a reference appear…