Zhiwei Deng

Orcid: 0000-0003-1169-6376

According to our database1, Zhiwei Deng authored at least 38 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
A Parallel Framework for Streaming Dimensionality Reduction.
IEEE Trans. Vis. Comput. Graph., January, 2024

Centroid-Guided Domain Incremental Learning for EEG-Based Seizure Prediction.
IEEE Trans. Instrum. Meas., 2024

Distributional Dataset Distillation with Subtask Decomposition.
CoRR, 2024

2023
EEG-based seizure prediction via hybrid vision transformer and data uncertainty learning.
Eng. Appl. Artif. Intell., 2023

Perceptual Group Tokenizer: Building Perception with Iterative Grouping.
CoRR, 2023

Unseen Image Synthesis with Diffusion Models.
CoRR, 2023

Multimodal Dataset Distillation for Image-Text Retrieval.
CoRR, 2023

Boundary Guided Mixing Trajectory for Semantic Control with Diffusion Models.
CoRR, 2023

Boundary Guided Learning-Free Semantic Control with Diffusion Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Shape-Aware 3D Small Vessel Segmentation with Local Contrast Guided Attention.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

A Zero-Shot Language Agent for Computer Control with Structured Reflection.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Domain Incremental Learning for EEG-Based Seizure Prediction.
Proceedings of the Artificial Intelligence - Third CAAI International Conference, 2023

2022
Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Dynamic Sub-graph Learning for Patch-Based Cortical Folding Classification.
Proceedings of the Machine Learning in Clinical Neuroimaging - 4th International Workshop, 2021

2020
Structured Label Inference for Visual Understanding.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Evolving Graphical Planner: Contextual Global Planning for Vision-and-Language Navigation.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Take the Scenic Route: Improving Generalization in Vision-and-Language Navigation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

BabyWalk: Going Farther in Vision-and-Language Navigation by Taking Baby Steps.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Policy Message Passing: A New Algorithm for Probabilistic Graph Inference.
CoRR, 2019

Continuous Graph Flow for Flexible Density Estimation.
CoRR, 2019

Talking With Hands 16.2M: A Large-Scale Dataset of Synchronized Body-Finger Motion and Audio for Conversational Motion Analysis and Synthesis.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Sparsely Connected Convolutional Networks.
CoRR, 2018

Generic Tubelet Proposals for Action Localization.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Probabilistic Neural Programmed Networks for Scene Generation.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Sparsely Aggregated Convolutional Networks.
Proceedings of the Computer Vision - ECCV 2018, 2018

Adaptive Appearance Rendering.
Proceedings of the British Machine Vision Conference 2018, 2018

2017
Active Learning for Structured Prediction from Partially Labeled Data.
CoRR, 2017

LabelBank: Revisiting Global Perspectives for Semantic Segmentation.
CoRR, 2017

Factorized Variational Autoencoders for Modeling Audience Reactions to Movies.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Hierarchical Deep Temporal Models for Group Activity Recognition.
CoRR, 2016

Recalling Holistic Information for Semantic Segmentation.
CoRR, 2016

A Hierarchical Deep Temporal Model for Group Activity Recognition.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Learning Structured Inference Neural Networks with Label Relations.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Structure Inference Machines: Recurrent Neural Networks for Analyzing Relations in Group Activity Recognition.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Learning Contextual Dependencies for Optical Flow with Recurrent Neural Networks.
Proceedings of the Computer Vision - ACCV 2016, 2016

2015
Deep Structured Models For Group Activity Recognition.
Proceedings of the British Machine Vision Conference 2015, 2015

2014
Learning Action Primitives for Multi-level Video Event Understanding.
Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

2012
Personalized Friend Recommendation in Social Network Based on Clustering Method.
Proceedings of the Computational Intelligence and Intelligent Systems, 2012


  Loading...