Dai, Peng

39 publications

AAAI 2025 EMHI: A Multimodal Egocentric Human Motion Dataset with HMD and Body-Worn IMUs Zhen Fan, Peng Dai, Zhuo Su, Xu Gao, Zheng Lv, Jiarui Zhang, Tianyuan Du, Guidong Wang, Yang Zhang
ICLR 2025 SVG: 3D Stereoscopic Video Generation via Denoising Frame Matrix Peng Dai, Feitong Tan, Qiangeng Xu, David Futschik, Ruofei Du, Sean Fanello, Xiaojuan Qi, Yinda Zhang
ECCV 2024 GSD: View-Guided Gaussian Splatting Diffusion for 3D Reconstruction Yuxuan Mu, Xinxin Zuo, Chuan Guo, Yilin Wang, Juwei Lu, Xiaofei Wu, Songcen Xu, Peng Dai, Youliang Yan, Li Cheng
ICLR 2024 Generative Human Motion Stylization in Latent Space Chuan Guo, Yuxuan Mu, Xinxin Zuo, Peng Dai, Youliang Yan, Juwei Lu, Li Cheng
CVPR 2024 HMD-Poser: On-Device Real-Time Human Motion Tracking from Scalable Sparse Observations Peng Dai, Yang Zhang, Tao Liu, Zhen Fan, Tianyuan Du, Zhuo Su, Xiaozheng Zheng, Zeming Li
ECCV 2024 TexGen: Text-Guided 3D Texture Generation with Multi-View Sampling and Resampling Dong Huo, Zixin Guo, Xinxin Zuo, Zhihao Shi, Juwei Lu, Peng Dai, Songcen Xu, Li Cheng, Yee-Hong Yang
CVPR 2024 Total-Decom: Decomposed 3D Scene Reconstruction with Minimal Interaction Xiaoyang Lyu, Chirui Chang, Peng Dai, Yang-Tian Sun, Xiaojuan Qi
NeurIPS 2023 CL-NeRF: Continual Learning of Neural Radiance Fields for Evolving Scene Representation Xiuzhe Wu, Peng Dai, Weipeng Deng, Handi Chen, Yang Wu, Yan-Pei Cao, Ying Shan, Xiaojuan Qi
CVPR 2023 CLIPPING: Distilling CLIP-Based Models with a Student Base for Video-Language Retrieval Renjing Pei, Jianzhuang Liu, Weimian Li, Bin Shao, Songcen Xu, Peng Dai, Juwei Lu, Youliang Yan
NeurIPS 2023 Decorate3D: Text-Driven High-Quality Texture Generation for Mesh Decoration in the Wild Yanhui Guo, Xinxin Zuo, Peng Dai, Juwei Lu, Xiaolin Wu, Li Cheng, Youliang Yan, Songcen Xu, Xiaofei Wu
ICCV 2023 HiVLP: Hierarchical Interactive Video-Language Pre-Training Bin Shao, Jianzhuang Liu, Renjing Pei, Songcen Xu, Peng Dai, Juwei Lu, Weimian Li, Youliang Yan
CVPR 2023 Hybrid Neural Rendering for Large-Scale Scenes with Motion Blur Peng Dai, Yinda Zhang, Xin Yu, Xiaoyang Lyu, Xiaojuan Qi
ICLR 2023 ISS: Image as Stepping Stone for Text-Guided 3D Shape Generation Zhengzhe Liu, Peng Dai, Ruihui Li, Xiaojuan Qi, Chi-Wing Fu
ICCV 2023 Learning a Room with the Occ-SDF Hybrid: Signed Distance Function Mingled with Occupancy Aids Scene Representation Xiaoyang Lyu, Peng Dai, Zizhang Li, Dongyu Yan, Yi Lin, Yifan Peng, Xiaojuan Qi
ICCV 2023 Texture Generation on 3D Meshes with Point-UV Diffusion Xin Yu, Peng Dai, Wenbo Li, Lan Ma, Zhengzhe Liu, Xiaojuan Qi
AAAI 2022 Decompose the Sounds and Pixels, Recompose the Events Varshanth R. Rao, Md Ibrahim Khalil, Haoda Li, Peng Dai, Juwei Lu
ECCV 2022 Dual Perspective Network for Audio-Visual Event Localization Varshanth Rao, Md Ibrahim Khalil, Haoda Li, Peng Dai, Juwei Lu
AAAI 2022 Self-Supervised Spatiotemporal Representation Learning by Exploiting Video Continuity Hanwen Liang, Niamul Quader, Zhixiang Chi, Lizhe Chen, Peng Dai, Juwei Lu, Yang Wang
ECCV 2022 Towards Efficient and Scale-Robust Ultra-High-Definition Image Demoiréing Xin Yu, Peng Dai, Wenbo Li, Lan Ma, Jiajun Shen, Jia Li, Xiaojuan Qi
CVPR 2022 Video Demoireing with Relation-Based Temporal Consistency Peng Dai, Xin Yu, Lan Ma, Baoheng Zhang, Jia Li, Wenbo Li, Jiajun Shen, Xiaojuan Qi
ICCV 2021 Boosting the Generalization Capability in Cross-Domain Few-Shot Learning via Noise-Enhanced Supervised Autoencoder Hanwen Liang, Qiong Zhang, Peng Dai, Juwei Lu
ICCV 2021 Class Semantics-Based Attention for Action Detection Deepak Sridhar, Niamul Quader, Srikanth Muralidharan, Yaoxin Li, Peng Dai, Juwei Lu
AAAI 2021 Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-Based Recommendation Chao Huang, Jiahui Chen, Lianghao Xia, Yong Xu, Peng Dai, Yanqing Chen, Liefeng Bo, Jiashu Zhao, Jimmy Xiangji Huang
AAAI 2021 Knowledge-Aware Coupled Graph Neural Network for Social Recommendation Chao Huang, Huance Xu, Yong Xu, Peng Dai, Lianghao Xia, Mengyin Lu, Liefeng Bo, Hao Xing, Xiaoping Lai, Yanfang Ye
AAAI 2021 Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Xiyue Zhang, Hongsheng Yang, Jian Pei, Liefeng Bo
CVPR 2021 Learning a Proposal Classifier for Multiple Object Tracking Peng Dai, Renliang Weng, Wongun Choi, Changshui Zhang, Zhangping He, Wei Ding
IJCAI 2021 Spatial-Temporal Sequential Hypergraph Network for Crime Prediction with Dynamic Multiplex Relation Learning Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo, Xiyue Zhang, Tianyi Chen
AAAI 2021 Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia, Peng Dai, Liefeng Bo, Junbo Zhang, Yu Zheng
IJCAI 2020 Cross-Interaction Hierarchical Attention Networks for Urban Anomaly Prediction Chao Huang, Chuxu Zhang, Peng Dai, Liefeng Bo
ECCV 2020 Towards Efficient Coarse-to-Fine Networks for Action and Gesture Recognition Niamul Quader, Juwei Lu, Peng Dai, Wei Li
ECCV 2020 Weight Excitation: Built-in Attention Mechanisms in Convolutional Neural Networks Niamul Quader, Md Mafijul Islam Bhuiyan, Juwei Lu, Peng Dai, Wei Li
AAAI 2017 Healthy Cognitive Aging: A Hybrid Random Vector Functional-Link Model for the Analysis of Alzheimer's Disease Peng Dai, Femida Gwadry-Sridhar, Michael Bauer, Michael Borrie, Xue Teng
AAAI 2016 Bagging Ensembles for the Diagnosis and Prognostication of Alzheimer's Disease Peng Dai, Femida Gwadry-Sridhar, Michael Bauer, Michael Borrie
AAAI 2011 Artificial Intelligence for Artificial Artificial Intelligence Peng Dai, Mausam, Daniel S. Weld
JAIR 2011 Topological Value Iteration Algorithms Peng Dai, Mausam, Daniel S. Weld, Judy Goldsmith
AAAI 2010 Decision-Theoretic Control of Crowd-Sourced Workflows Peng Dai, Mausam, Daniel S. Weld
IJCAI 2009 Domain-Independent, Automatic Partitioning for Probabilistic Planning Peng Dai, Mausam, Daniel S. Weld
AAAI 2008 Partitioned External-Memory Value Iteration Peng Dai, Mausam, Daniel S. Weld
IJCAI 2007 Topological Value Iteration Algorithm for Markov Decision Processes Peng Dai, Judy Goldsmith