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ORCIDZhiwei Deng
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2020 – today
- 2024
[j5]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: 103276 (2024)- [j4]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: 1-13 (2024) - [j3]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): 142-152 (2024) - [c25]Haoyu Wang, Tao Li, Zhiwei Deng, Dan Roth, Yang Li:
Devil's Advocate: Anticipatory Reflection for LLM Agents. EMNLP (Findings) 2024: 966-978 - [c24]Zhiwei Deng, Ting Chen, Yang Li:
Perceptual Group Tokenizer: Building Perception with Iterative Grouping. ICLR 2024 - [c23]William Yang, Ye Zhu, Zhiwei Deng, Olga Russakovsky:
What is Dataset Distillation Learning? ICML 2024 - [i29]Tian Qin, Zhiwei Deng, David Alvarez-Melis:
Distributional Dataset Distillation with Subtask Decomposition. CoRR abs/2403.00999 (2024) - [i28]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 abs/2405.13199 (2024) - [i27]Haoyu Wang, Tao Li, Zhiwei Deng, Dan Roth, Yang Li:
Devil's Advocate: Anticipatory Reflection for LLM Agents. CoRR abs/2405.16334 (2024) - [i26]William Yang, Ye Zhu, Zhiwei Deng, Olga Russakovsky:
What is Dataset Distillation Learning? CoRR abs/2406.04284 (2024) - [i25]Tian Qin, Zhiwei Deng, David Alvarez-Melis:
A Label is Worth a Thousand Images in Dataset Distillation. CoRR abs/2406.10485 (2024) - [i24]Zhiwei Deng, Tao Li, Yang Li:
Influential Language Data Selection via Gradient Trajectory Pursuit. CoRR abs/2410.16710 (2024) - 2023
- [j2]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): 106401 (2023) - [c22]Zhiwei Deng, Tingting Mao, Chenghao Shao, Chang Li, Xun Chen:
Domain Incremental Learning for EEG-Based Seizure Prediction. CICAI (2) 2023: 476-487 - [c21]Tao Li, Gang Li, Zhiwei Deng, Bryan Wang, Yang Li:
A Zero-Shot Language Agent for Computer Control with Structured Reflection. EMNLP (Findings) 2023: 11261-11274 - [c20]Zhiwei Deng, Songnan Xu, Jianwei Zhang, Jiong Zhang, Danny J. J. Wang, Lirong Yan, Yonggang Shi:
Shape-Aware 3D Small Vessel Segmentation with Local Contrast Guided Attention. MICCAI (4) 2023: 354-363 - [c19]Ye Zhu, Yu Wu, Zhiwei Deng, Olga Russakovsky, Yan Yan:
Boundary Guided Learning-Free Semantic Control with Diffusion Models. NeurIPS 2023 - [i23]Ye Zhu, Yu Wu, Zhiwei Deng, Olga Russakovsky, Yan Yan:
Boundary Guided Mixing Trajectory for Semantic Control with Diffusion Models. CoRR abs/2302.08357 (2023) - [i22]Xindi Wu, Zhiwei Deng, Olga Russakovsky:
Multimodal Dataset Distillation for Image-Text Retrieval. CoRR abs/2308.07545 (2023) - [i21]Tao Li, Gang Li, Zhiwei Deng, Bryan Wang, Yang Li:
A Zero-Shot Language Agent for Computer Control with Structured Reflection. CoRR abs/2310.08740 (2023) - [i20]Ye Zhu, Yu Wu, Zhiwei Deng, Olga Russakovsky, Yan Yan:
Unseen Image Synthesis with Diffusion Models. CoRR abs/2310.09213 (2023) - [i19]Zhiwei Deng, Ting Chen, Yang Li:
Perceptual Group Tokenizer: Building Perception with Iterative Grouping. CoRR abs/2311.18296 (2023) - 2022
- [c18]Zhiwei Deng, Olga Russakovsky:
Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks. NeurIPS 2022 - [i18]Zhiwei Deng, Olga Russakovsky:
Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks. CoRR abs/2206.02916 (2022) - 2021
- [c17]Zhiwei Deng, Jiong Zhang, Yonggang Shi:
Dynamic Sub-graph Learning for Patch-Based Cortical Folding Classification. MLCN@MICCAI 2021: 53-62 - [i17]Mengyao Zhai, Ruizhi Deng, Jiacheng Chen, Lei Chen, Zhiwei Deng, Greg Mori:
Adaptive Appearance Rendering. CoRR abs/2104.11931 (2021) - 2020
- [j1]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): 1257-1271 (2020) - [c16]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: 2539-2556 - [c15]Felix Yu, Zhiwei Deng, Karthik Narasimhan, Olga Russakovsky:
Take the Scenic Route: Improving Generalization in Vision-and-Language Navigation. CVPR Workshops 2020: 4000-4004 - [c14]Zhiwei Deng, Karthik Narasimhan, Olga Russakovsky:
Evolving Graphical Planner: Contextual Global Planning for Vision-and-Language Navigation. NeurIPS 2020 - [i16]Felix Yu, Zhiwei Deng, Karthik Narasimhan, Olga Russakovsky:
Take the Scenic Route: Improving Generalization in Vision-and-Language Navigation. CoRR abs/2003.14269 (2020) - [i15]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 abs/2005.04625 (2020) - [i14]Zhiwei Deng, Karthik Narasimhan, Olga Russakovsky:
Evolving Graphical Planner: Contextual Global Planning for Vision-and-Language Navigation. CoRR abs/2007.05655 (2020)
2010 – 2019
- 2019
- [c13]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: 763-772 - [i13]Zhiwei Deng, Megha Nawhal, Lili Meng, Greg Mori:
Continuous Graph Flow for Flexible Density Estimation. CoRR abs/1908.02436 (2019) - [i12]Zhiwei Deng, Greg Mori:
Policy Message Passing: A New Algorithm for Probabilistic Graph Inference. CoRR abs/1909.13196 (2019) - 2018
- [c12]Mengyao Zhai, Ruizhi Deng, Jiacheng Chen, Lei Chen, Zhiwei Deng, Greg Mori:
Adaptive Appearance Rendering. BMVC 2018: 247 - [c11]Ligeng Zhu, Ruizhi Deng, Michael Maire, Zhiwei Deng, Greg Mori, Ping Tan:
Sparsely Aggregated Convolutional Networks. ECCV (12) 2018: 192-208 - [c10]Zhiwei Deng, Jiacheng Chen, Yifang Fu, Greg Mori:
Probabilistic Neural Programmed Networks for Scene Generation. NeurIPS 2018: 4032-4042 - [c9]Jiawei He, Zhiwei Deng, Mostafa S. Ibrahim, Greg Mori:
Generic Tubelet Proposals for Action Localization. WACV 2018: 343-351 - [i11]Ligeng Zhu, Ruizhi Deng, Zhiwei Deng, Greg Mori, Ping Tan:
Sparsely Connected Convolutional Networks. CoRR abs/1801.05895 (2018) - [i10]Nelson Nauata, Hexiang Hu, Guang-Tong Zhou, Zhiwei Deng, Zicheng Liao, Greg Mori:
Structured Label Inference for Visual Understanding. CoRR abs/1802.06459 (2018) - 2017
- [c8]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: 6014-6023 - [i9]Hexiang Hu, Zhiwei Deng, Guang-Tong Zhou, Fei Sha, Greg Mori:
LabelBank: Revisiting Global Perspectives for Semantic Segmentation. CoRR abs/1703.09891 (2017) - [i8]Jiawei He, Mostafa S. Ibrahim, Zhiwei Deng, Greg Mori:
Generic Tubelet Proposals for Action Localization. CoRR abs/1705.10861 (2017) - [i7]Mehran Khodabandeh, Zhiwei Deng, Mostafa S. Ibrahim, Shin'ichi Satoh, Greg Mori:
Active Learning for Structured Prediction from Partially Labeled Data. CoRR abs/1706.02342 (2017) - 2016
- [c7]Minlong Lu, Zhiwei Deng, Ze-Nian Li:
Learning Contextual Dependencies for Optical Flow with Recurrent Neural Networks. ACCV (4) 2016: 68-83 - [c6]Mostafa S. Ibrahim, Srikanth Muralidharan, Zhiwei Deng, Arash Vahdat, Greg Mori:
A Hierarchical Deep Temporal Model for Group Activity Recognition. CVPR 2016: 1971-1980 - [c5]Hexiang Hu, Guang-Tong Zhou, Zhiwei Deng, Zicheng Liao, Greg Mori:
Learning Structured Inference Neural Networks with Label Relations. CVPR 2016: 2960-2968 - [c4]Zhiwei Deng, Arash Vahdat, Hexiang Hu, Greg Mori:
Structure Inference Machines: Recurrent Neural Networks for Analyzing Relations in Group Activity Recognition. CVPR 2016: 4772-4781 - [i6]Mostafa S. Ibrahim, Srikanth Muralidharan, Zhiwei Deng, Arash Vahdat, Greg Mori:
Hierarchical Deep Temporal Models for Group Activity Recognition. CoRR abs/1607.02643 (2016) - [i5]Hexiang Hu, Zhiwei Deng, Guang-Tong Zhou, Fei Sha, Greg Mori:
Recalling Holistic Information for Semantic Segmentation. CoRR abs/1611.08061 (2016) - 2015
- [c3]Zhiwei Deng, Mengyao Zhai, Lei Chen, Yuhao Liu, Srikanth Muralidharan, Mehrsan Javan Roshtkhari, Greg Mori:
Deep Structured Models For Group Activity Recognition. BMVC 2015: 179.1-179.12 - [i4]Zhiwei Deng, Mengyao Zhai, Lei Chen, Yuhao Liu, Srikanth Muralidharan, Mehrsan Javan Roshtkhari, Greg Mori:
Deep Structured Models For Group Activity Recognition. CoRR abs/1506.04191 (2015) - [i3]Zhiwei Deng, Arash Vahdat, Hexiang Hu, Greg Mori:
Structure Inference Machines: Recurrent Neural Networks for Analyzing Relations in Group Activity Recognition. CoRR abs/1511.04196 (2015) - [i2]Hexiang Hu, Guang-Tong Zhou, Zhiwei Deng, Zicheng Liao, Greg Mori:
Learning Structured Inference Neural Networks with Label Relations. CoRR abs/1511.05616 (2015) - [i1]Mostafa S. Ibrahim, Srikanth Muralidharan, Zhiwei Deng, Arash Vahdat, Greg Mori:
A Hierarchical Deep Temporal Model for Group Activity Recognition. CoRR abs/1511.06040 (2015) - 2014
- [c2]Tian Lan, Lei Chen, Zhiwei Deng, Guang-Tong Zhou, Greg Mori:
Learning Action Primitives for Multi-level Video Event Understanding. ECCV Workshops (3) 2014: 95-110 - 2012
- [c1]Zhiwei Deng, Bowei He, Chengchi Yu, Yuxiang Chen:
Personalized Friend Recommendation in Social Network Based on Clustering Method. ISICA 2012: 84-91
Coauthor Index
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last updated on 2024-12-13 19:13 CET by the dblp team
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