Zhiwei Deng

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 49

Top Topics

Activity Recognition

Diffusion Models

Partially Labeled Data

Top Venues

Publications

Lujia Zhong, Shuo Huang, Jiaxin Yue, Jianwei Zhang, Zhiwei Deng, Wenhao Chi, Yonggang Shi
TauAD: MRI-free Tau Anomaly Detection in PET Imaging via Conditioned Diffusion Models. CoRR (2024)
Jiazhi Xia, Linquan Huang, Yiping Sun, Zhiwei Deng, Xiaolong Luke Zhang, Minfeng Zhu
A Parallel Framework for Streaming Dimensionality Reduction. IEEE Trans. Vis. Comput. Graph. 30 (1) (2024)
Evi M. C. Huijben, Maarten L. Terpstra, Arthur Jr Galapon, Suraj Pai, Adrian Thummerer, Peter Koopmans, Manya Afonso, Maureen A. J. M. van Eijnatten, Oliver J. Gurney-Champion, Zeli Chen, Yiwen Zhang, Kaiyi Zheng, Chuanpu Li, Haowen Pang, Chuyang Ye, Runqi Wang, Tao Song, Fuxin Fan, Jingna Qiu, Yixing Huang, Juhyung Ha, Jong Sung Park, Alexandra Alain-Beaudoin, Silvain Bériault, Pengxin Yu, Hongbin Guo, Zhanyao Huang, Gengwan Li, Xueru Zhang, Yubo Fan, Han Liu, Bowen Xin, Aaron Nicolson, Lujia Zhong, Zhiwei Deng, Gustav Müller-Franzes, Firas Khader, Xia Li, Ye Zhang, Cédric Hémon, Valentin Boussot, Zhihao Zhang, Long Wang, Lu Bai, Shaobin Wang, Derk Mus, Bram Kooiman, Chelsea A. H. Sargeant, Edward G. A. Henderson, Satoshi Kondo, Satoshi Kasai, Reza Karimzadeh, Bulat Ibragimov, Thomas Helfer, Jessica Dafflon, Zijie Chen, Enpei Wang, Zoltán Perkó, Matteo Maspero
Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge report. Medical Image Anal. 97 (2024)
Zhiwei Deng, Chang Li, Rencheng Song, Xiang Liu, Ruobing Qian, Xun Chen
Centroid-Guided Domain Incremental Learning for EEG-Based Seizure Prediction. IEEE Trans. Instrum. Meas. 73 (2024)
Zhiwei Deng, Ting Chen, Yang Li
Perceptual Group Tokenizer: Building Perception with Iterative Grouping. ICLR (2024)
William Yang, Ye Zhu, Zhiwei Deng, Olga Russakovsky
What is Dataset Distillation Learning? CoRR (2024)
Tian Qin, Zhiwei Deng, David Alvarez-Melis
A Label is Worth a Thousand Images in Dataset Distillation. CoRR (2024)
Tian Qin, Zhiwei Deng, David Alvarez-Melis
Distributional Dataset Distillation with Subtask Decomposition. CoRR (2024)
Haoyu Wang, Tao Li, Zhiwei Deng, Dan Roth, Yang Li
Devil's Advocate: Anticipatory Reflection for LLM Agents. CoRR (2024)
Zhiwei Deng, Ting Chen, Yang Li
Perceptual Group Tokenizer: Building Perception with Iterative Grouping. CoRR (2023)
Zhiwei Deng, Chang Li, Rencheng Song, Xiang Liu, Ruobing Qian, Xun Chen
EEG-based seizure prediction via hybrid vision transformer and data uncertainty learning. Eng. Appl. Artif. Intell. 123 (Part C) (2023)
Ye Zhu, Yu Wu, Zhiwei Deng, Olga Russakovsky, Yan Yan
Unseen Image Synthesis with Diffusion Models. CoRR (2023)
Zhiwei Deng, Songnan Xu, Jianwei Zhang, Jiong Zhang, Danny J. Wang, Lirong Yan, Yonggang Shi
Shape-Aware 3D Small Vessel Segmentation with Local Contrast Guided Attention. MICCAI (4) (2023)
Ye Zhu, Yu Wu, Zhiwei Deng, Olga Russakovsky, Yan Yan
Boundary Guided Learning-Free Semantic Control with Diffusion Models. NeurIPS (2023)
Zhiwei Deng, Tingting Mao, Chenghao Shao, Chang Li, Xun Chen
Domain Incremental Learning for EEG-Based Seizure Prediction. CICAI (2) (2023)
Tao Li, Gang Li, Zhiwei Deng, Bryan Wang, Yang Li
A Zero-Shot Language Agent for Computer Control with Structured Reflection. CoRR (2023)
Xindi Wu, Zhiwei Deng, Olga Russakovsky
Multimodal Dataset Distillation for Image-Text Retrieval. CoRR (2023)
Tao Li, Gang Li, Zhiwei Deng, Bryan Wang, Yang Li
A Zero-Shot Language Agent for Computer Control with Structured Reflection. EMNLP (Findings) (2023)
Ye Zhu, Yu Wu, Zhiwei Deng, Olga Russakovsky, Yan Yan
Boundary Guided Mixing Trajectory for Semantic Control with Diffusion Models. CoRR (2023)
Zhiwei Deng, Olga Russakovsky
Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks. CoRR (2022)
Zhiwei Deng, Olga Russakovsky
Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks. NeurIPS (2022)
Mengyao Zhai, Ruizhi Deng, Jiacheng Chen, Lei Chen, Zhiwei Deng, Greg Mori
Adaptive Appearance Rendering. CoRR (2021)
Zhiwei Deng, Jiong Zhang, Yonggang Shi
Dynamic Sub-graph Learning for Patch-Based Cortical Folding Classification. MLCN@MICCAI (2021)
Wang Zhu, Hexiang Hu, Jiacheng Chen, Zhiwei Deng, Vihan Jain, Eugene Ie, Fei Sha
BabyWalk: Going Farther in Vision-and-Language Navigation by Taking Baby Steps. CoRR (2020)
Zhiwei Deng, Karthik Narasimhan, Olga Russakovsky
Evolving Graphical Planner: Contextual Global Planning for Vision-and-Language Navigation. CoRR (2020)
Wang Zhu, Hexiang Hu, Jiacheng Chen, Zhiwei Deng, Vihan Jain, Eugene Ie, Fei Sha
BabyWalk: Going Farther in Vision-and-Language Navigation by Taking Baby Steps. ACL (2020)
Felix Yu, Zhiwei Deng, Karthik Narasimhan, Olga Russakovsky
Take the Scenic Route: Improving Generalization in Vision-and-Language Navigation. CoRR (2020)
Zhiwei Deng, Karthik Narasimhan, Olga Russakovsky
Evolving Graphical Planner: Contextual Global Planning for Vision-and-Language Navigation. NeurIPS (2020)
Felix Yu, Zhiwei Deng, Karthik Narasimhan, Olga Russakovsky
Take the Scenic Route: Improving Generalization in Vision-and-Language Navigation. CVPR Workshops (2020)
Nelson Nauata, Hexiang Hu, Guang-Tong Zhou, Zhiwei Deng, Zicheng Liao, Greg Mori
Structured Label Inference for Visual Understanding. IEEE Trans. Pattern Anal. Mach. Intell. 42 (5) (2020)
Gilwoo Lee, Zhiwei Deng, Shugao Ma, Takaaki Shiratori, Siddhartha S. Srinivasa, Yaser Sheikh
Talking With Hands 16.2M: A Large-Scale Dataset of Synchronized Body-Finger Motion and Audio for Conversational Motion Analysis and Synthesis. ICCV (2019)
Zhiwei Deng, Megha Nawhal, Lili Meng, Greg Mori
Continuous Graph Flow for Flexible Density Estimation. CoRR (2019)
Zhiwei Deng, Greg Mori
Policy Message Passing: A New Algorithm for Probabilistic Graph Inference. CoRR (2019)
Ligeng Zhu, Ruizhi Deng, Zhiwei Deng, Greg Mori, Ping Tan
Sparsely Connected Convolutional Networks. CoRR (2018)
Jiawei He, Zhiwei Deng, Mostafa S. Ibrahim, Greg Mori
Generic Tubelet Proposals for Action Localization. WACV (2018)
Zhiwei Deng, Jiacheng Chen, Yifang Fu, Greg Mori
Probabilistic Neural Programmed Networks for Scene Generation. NeurIPS (2018)
Nelson Nauata, Hexiang Hu, Guang-Tong Zhou, Zhiwei Deng, Zicheng Liao, Greg Mori
Structured Label Inference for Visual Understanding. CoRR (2018)
Ligeng Zhu, Ruizhi Deng, Michael Maire, Zhiwei Deng, Greg Mori, Ping Tan
Sparsely Aggregated Convolutional Networks. ECCV (12) (2018)
Mengyao Zhai, Ruizhi Deng, Jiacheng Chen, Lei Chen, Zhiwei Deng, Greg Mori
Adaptive Appearance Rendering. BMVC (2018)
Zhiwei Deng, Rajitha Navarathna, Peter Carr, Stephan Mandt, Yisong Yue, Iain A. Matthews, Greg Mori
Factorized Variational Autoencoders for Modeling Audience Reactions to Movies. CVPR (2017)
Jiawei He, Mostafa S. Ibrahim, Zhiwei Deng, Greg Mori
Generic Tubelet Proposals for Action Localization. CoRR (2017)
Hexiang Hu, Zhiwei Deng, Guang-Tong Zhou, Fei Sha, Greg Mori
LabelBank: Revisiting Global Perspectives for Semantic Segmentation. CoRR (2017)
Mehran Khodabandeh, Zhiwei Deng, Mostafa S. Ibrahim, Shin'ichi Satoh, Greg Mori
Active Learning for Structured Prediction from Partially Labeled Data. CoRR (2017)
Hexiang Hu, Guang-Tong Zhou, Zhiwei Deng, Zicheng Liao, Greg Mori
Learning Structured Inference Neural Networks with Label Relations. CVPR (2016)
Zhiwei Deng, Arash Vahdat, Hexiang Hu, Greg Mori
Structure Inference Machines: Recurrent Neural Networks for Analyzing Relations in Group Activity Recognition. CVPR (2016)
Mostafa S. Ibrahim, Srikanth Muralidharan, Zhiwei Deng, Arash Vahdat, Greg Mori
Hierarchical Deep Temporal Models for Group Activity Recognition. CoRR (2016)
Hexiang Hu, Zhiwei Deng, Guang-Tong Zhou, Fei Sha, Greg Mori
Recalling Holistic Information for Semantic Segmentation. CoRR (2016)
Minlong Lu, Zhiwei Deng, Ze-Nian Li
Learning Contextual Dependencies for Optical Flow with Recurrent Neural Networks. ACCV (4) (2016)
Mostafa S. Ibrahim, Srikanth Muralidharan, Zhiwei Deng, Arash Vahdat, Greg Mori
A Hierarchical Deep Temporal Model for Group Activity Recognition. CVPR (2016)
Mostafa S. Ibrahim, Srikanth Muralidharan, Zhiwei Deng, Arash Vahdat, Greg Mori
A Hierarchical Deep Temporal Model for Group Activity Recognition. CoRR (2015)
Zhiwei Deng, Arash Vahdat, Hexiang Hu, Greg Mori
Structure Inference Machines: Recurrent Neural Networks for Analyzing Relations in Group Activity Recognition. CoRR (2015)
Zhiwei Deng, Mengyao Zhai, Lei Chen, Yuhao Liu, Srikanth Muralidharan, Mehrsan Javan Roshtkhari, Greg Mori
Deep Structured Models For Group Activity Recognition. BMVC (2015)
Hexiang Hu, Guang-Tong Zhou, Zhiwei Deng, Zicheng Liao, Greg Mori
Learning Structured Inference Neural Networks with Label Relations. CoRR (2015)
Zhiwei Deng, Mengyao Zhai, Lei Chen, Yuhao Liu, Srikanth Muralidharan, Mehrsan Javan Roshtkhari, Greg Mori
Deep Structured Models For Group Activity Recognition. CoRR (2015)
Tian Lan, Lei Chen, Zhiwei Deng, Guang-Tong Zhou, Greg Mori
Learning Action Primitives for Multi-level Video Event Understanding. ECCV Workshops (3) (2014)
Zhiwei Deng, Bowei He, Chengchi Yu, Yuxiang Chen
Personalized Friend Recommendation in Social Network Based on Clustering Method. ISICA (2012)