Keze Wang

According to our database, Keze Wang authored at least 50 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Video Super-Resolution Transformer with Masked Inter&Intra-Frame Attention.

Xingyu Zhou, Leheng Zhang, Xiaorui Zhao, Keze Wang, Leida Li, Shuhang Gu

CoRR, 2024

Adaptive Prompt Routing for Arbitrary Text Style Transfer with Pre-trained Language Models.

Qingyi Liu, Jinghui Qin, Wenxuan Ye, Hao Mou, Yuxuan He, Keze Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Mimic: Speaking Style Disentanglement for Speech-Driven 3D Facial Animation.

Hui Fu, Zeqing Wang, Ke Gong, Keze Wang, Tianshui Chen, Haojie Li, Haifeng Zeng, Wenxiong Kang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

NeRF-VPT: Learning Novel View Representations with Neural Radiance Fields via View Prompt Tuning.

Linsheng Chen, Guangrun Wang, Liuchun Yuan, Keze Wang, Ken Deng, Philip H. S. Torr

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Towards Causality-Aware Inferring: A Sequential Discriminative Approach for Medical Diagnosis.

Junfan Lin, Keze Wang, Ziliang Chen, Xiaodan Liang, Liang Lin

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Towards Top-Down Reasoning: An Explainable Multi-Agent Approach for Visual Question Answering.

Zeqing Wang, Wentao Wan, Runmeng Chen, Qiqing Lao, Minjie Lang, Keze Wang

CoRR, 2023

SQLNet: Scale-Modulated Query and Localization Network for Few-Shot Class-Agnostic Counting.

Hefeng Wu, Yandong Chen, Lingbo Liu, Tianshui Chen, Keze Wang, Liang Lin

CoRR, 2023

VisualProg Distiller: Learning to Fine-tune Non-differentiable Visual Programming Frameworks.

Wentao Wan, Zeqing Wang, Nan Kang, Keze Wang, Zhiyu Shen, Liang Lin

CoRR, 2023

Towards CausalGPT: A Multi-Agent Approach for Faithful Knowledge Reasoning via Promoting Causal Consistency in LLMs.

Ziyi Tang, Ruilin Wang, Weixing Chen, Keze Wang, Yang Liu, Tianshui Chen, Liang Lin

CoRR, 2023

FIRE: Fine Implicit Reconstruction Enhancement with Detailed Body Part Labels and Geometric Features.

Junzheng Zhang, Xipeng Chen, Keze Wang, Pengxu Wei, Liang Lin

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Interactive Learning for Interpretable Visual Recognition via Semantic-Aware Self-Teaching Framework.

Hao Jiang, Haowei Li, Junhao Chen, Wentao Wan, Keze Wang

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

2022

Knowledge-Routed Visual Question Reasoning: Challenges for Deep Representation Embedding.

Qingxing Cao, Bailin Li, Xiaodan Liang, Keze Wang, Liang Lin

IEEE Trans. Neural Networks Learn. Syst., 2022

TCGL: Temporal Contrastive Graph for Self-Supervised Video Representation Learning.

Yang Liu, Keze Wang, Lingbo Liu, Haoyuan Lan, Liang Lin

IEEE Trans. Image Process., 2022

Enhancing Prototypical Few-Shot Learning By Leveraging The Local-Level Strategy.

Junying Huang, Fan Chen, Keze Wang, Liang Lin, Dongyu Zhang

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Semantics-Aware Adaptive Knowledge Distillation for Sensor-to-Vision Action Recognition.

Yang Liu, Keze Wang, Guanbin Li, Liang Lin

IEEE Trans. Image Process., 2021

CX-ToM: Counterfactual Explanations with Theory-of-Mind for Enhancing Human Trust in Image Recognition Models.

Arjun R. Akula, Keze Wang, Changsong Liu, Sari Saba-Sadiya, Hongjing Lu, Sinisa Todorovic, Joyce Chai, Song-Chun Zhu

CoRR, 2021

Temporal Contrastive Graph for Self-supervised Video Representation Learning.

Yang Liu, Keze Wang, Haoyuan Lan, Liang Lin

CoRR, 2021

Continuous Transition: Improving Sample Efficiency for Continuous Control Problems via MixUp.

Junfan Lin, Zhongzhan Huang, Keze Wang, Xiaodan Liang, Weiwei Chen, Liang Lin

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Solving Inefficiency of Self-supervised Representation Learning.

Guangrun Wang, Keze Wang, Guangcong Wang, Philip H. S. Torr, Liang Lin

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Linguistically Routing Capsule Network for Out-of-distribution Visual Question Answering.

Qingxing Cao, Wentao Wan, Keze Wang, Xiaodan Liang, Liang Lin

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Mind the Context: The Impact of Contextualization in Neural Module Networks for Grounding Visual Referring Expressions.

Arjun R. Akula, Spandana Gella, Keze Wang, Song-Chun Zhu, Siva Reddy

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

3D Human Pose Machines with Self-Supervised Learning.

Keze Wang, Liang Lin, Chenhan Jiang, Chen Qian, Pengxu Wei

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Face Hallucination by Attentive Sequence Optimization with Reinforcement Learning.

Yukai Shi, Guanbin Li, Qingxing Cao, Keze Wang, Liang Lin

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Linguistically Driven Graph Capsule Network for Visual Question Reasoning.

Qingxing Cao, Xiaodan Liang, Keze Wang, Liang Lin

CoRR, 2020

Learning Reinforced Agents with Counterfactual Simulation for Medical Automatic Diagnosis.

Junfan Lin, Ziliang Chen, Xiaodan Liang, Keze Wang, Liang Lin

CoRR, 2020

Grammatically Recognizing Images with Tree Convolution.

Guangrun Wang, Guangcong Wang, Keze Wang, Xiaodan Liang, Liang Lin

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

Cost-Effective Object Detection: Active Sample Mining With Switchable Selection Criteria.

Keze Wang, Liang Lin, Xiaopeng Yan, Ziliang Chen, Dongyu Zhang, Lei Zhang

IEEE Trans. Neural Networks Learn. Syst., 2019

Instance-aware representation learning and association for online multi-person tracking.

Hefeng Wu, Yafei Hu, Keze Wang, Hanhui Li, Lin Nie, Hui Cheng

Pattern Recognit., 2019

Adaptively Connected Neural Networks.

Guangrun Wang, Keze Wang, Liang Lin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Deep Co-Space: Sample Mining Across Feature Transformation for Semi-Supervised Learning.

Ziliang Chen, Keze Wang, Xiao Wang, Pai Peng, Ebroul Izquierdo, Liang Lin

IEEE Trans. Circuits Syst. Video Technol., 2018

Active Self-Paced Learning for Cost-Effective and Progressive Face Identification.

Liang Lin, Keze Wang, Deyu Meng, Wangmeng Zuo, Lei Zhang

IEEE Trans. Pattern Anal. Mach. Intell., 2018

Embedding Temporally Consistent Depth Recovery for Real-time Dense Mapping in Visual-inertial Odometry.

Hui Cheng, Zhuoqi Zheng, Jinhao He, Chongyu Chen, Keze Wang, Liang Lin

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Convolutional Memory Blocks for Depth Data Representation Learning.

Keze Wang, Liang Lin, Chuangjie Ren, Wei Zhang, Wenxiu Sun

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Towards Human-Machine Cooperation: Self-Supervised Sample Mining for Object Detection.

Keze Wang, Xiaopeng Yan, Dongyu Zhang, Lei Zhang, Liang Lin

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Flow Guided Recurrent Neural Encoder for Video Salient Object Detection.

Guanbin Li, Yuan Xie, Tianhao Wei, Keze Wang, Liang Lin

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Structure-Preserving Image Super-Resolution via Contextualized Multitask Learning.

Yukai Shi, Keze Wang, Chongyu Chen, Li Xu, Liang Lin

IEEE Trans. Multim., 2017

Cost-Effective Active Learning for Deep Image Classification.

Keze Wang, Dongyu Zhang, Ya Li, Ruimao Zhang, Liang Lin

IEEE Trans. Circuits Syst. Video Technol., 2017

Structure-Preserving Image Super-resolution via Contextualized Multi-task Learning.

Yukai Shi, Keze Wang, Chongyu Chen, Li Xu, Liang Lin

CoRR, 2017

Image Retrieval with Attribute-Associated Auxiliary References.

Lin Nie, Keze Wang, Wenxiong Kang, Yuefang Gao

Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017

Fine-Grained Butterfly Recognition with Deep Residual Networks: A New Baseline and Benchmark.

Lin Nie, Keze Wang, Xiaoling Fan, Yuefang Gao

Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017

Recurrent 3D Pose Sequence Machines.

Mude Lin, Liang Lin, Xiaodan Liang, Keze Wang, Hui Cheng

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Face Recognition via Heuristic Deep Active Learning.

Ya Li, Keze Wang, Lin Nie, Qing Wang

Proceedings of the Biometric Recognition - 12th Chinese Conference, 2017

2016

A Deep Structured Model with Radius-Margin Bound for 3D Human Activity Recognition.

Liang Lin, Keze Wang, Wangmeng Zuo, Meng Wang, Jiebo Luo, Lei Zhang

Int. J. Comput. Vis., 2016

Human Pose Estimation from Depth Images via Inference Embedded Multi-task Learning.

Keze Wang, Shengfu Zhai, Hui Cheng, Xiaodan Liang, Liang Lin

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Learning a lightweight deep convolutional network for joint age and gender recognition.

Linnan Zhu, Keze Wang, Liang Lin, Lei Zhang

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Local- and holistic-structure preserving image super resolution via deep joint component learning.

Yukai Shi, Keze Wang, Li Xu, Liang Lin

Proceedings of the IEEE International Conference on Multimedia and Expo, 2016

Dictionary Pair Classifier Driven Convolutional Neural Networks for Object Detection.

Keze Wang, Liang Lin, Wangmeng Zuo, Shuhang Gu, Lei Zhang

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

PISA: Pixelwise Image Saliency by Aggregating Complementary Appearance Contrast Measures With Edge-Preserving Coherence.

Keze Wang, Liang Lin, Jiangbo Lu, Chenglong Li, Keyang Shi

IEEE Trans. Image Process., 2015

2014

3D Human Activity Recognition with Reconfigurable Convolutional Neural Networks.

Keze Wang, Xiaolong Wang, Liang Lin, Meng Wang, Wangmeng Zuo

Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

2013

PISA: Pixelwise Image Saliency by Aggregating Complementary Appearance Contrast Measures with Spatial Priors.

Keyang Shi, Keze Wang, Jiangbo Lu, Liang Lin

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013