Keze Wang

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 69

Top Topics

Active Learning

Activity Recognition

Object Detection

Convolutional Neural Networks

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

IEEE Trans. Image Process.

Publications

Linsheng Chen, Guangrun Wang, Liuchun Yuan, Keze Wang, Ken Deng, Philip H. S. Torr
NeRF-VPT: Learning Novel View Representations with Neural Radiance Fields via View Prompt Tuning. AAAI (2024)
Xingyu Zhou, Leheng Zhang, Xiaorui Zhao, Keze Wang, Leida Li, Shuhang Gu
Video Super-Resolution Transformer with Masked Inter&Intra-Frame Attention. CoRR (2024)
Lingling Li, Weicong Li, Qiyuan Ding, Chengpei Tang, Keze Wang
Gesture Generation Via Diffusion Model with Attention Mechanism. ICASSP (2024)
Linsheng Chen, Guangrun Wang, Liuchun Yuan, Keze Wang, Ken Deng, Philip H. S. Torr
NeRF-VPT: Learning Novel View Representations with Neural Radiance Fields via View Prompt Tuning. CoRR (2024)
Xipeng Chen, Junzheng Zhang, Keze Wang, Pengxu Wei, Liang Lin
Multi-Person 3D Pose Estimation With Occlusion Reasoning. IEEE Trans. Multim. 26 (2024)
Qingyi Liu, Yekun Chai, Shuohuan Wang, Yu Sun, Qiwei Peng, Keze Wang, Hua Wu
On Training Data Influence of GPT Models. CoRR (2024)
Qingyi Liu, Jinghui Qin, Wenxuan Ye, Hao Mou, Yuxuan He, Keze Wang
Adaptive Prompt Routing for Arbitrary Text Style Transfer with Pre-trained Language Models. AAAI (2024)
Hui Fu, Zeqing Wang, Ke Gong, Keze Wang, Tianshui Chen, Haojie Li, Haifeng Zeng, Wenxiong Kang
Mimic: Speaking Style Disentanglement for Speech-Driven 3D Facial Animation. AAAI (2024)
Zeqing Wang, Wentao Wan, Runmeng Chen, Qiqing Lao, Minjie Lang, Keze Wang
Towards Top-Down Reasoning: An Explainable Multi-Agent Approach for Visual Question Answering. CoRR (2023)
Junzheng Zhang, Xipeng Chen, Keze Wang, Pengxu Wei, Liang Lin
FIRE: Fine Implicit Reconstruction Enhancement with Detailed Body Part Labels and Geometric Features. PRCV (2) (2023)
Hefeng Wu, Yandong Chen, Lingbo Liu, Tianshui Chen, Keze Wang, Liang Lin
SQLNet: Scale-Modulated Query and Localization Network for Few-Shot Class-Agnostic Counting. CoRR (2023)
Hao Jiang, Haowei Li, Junhao Chen, Wentao Wan, Keze Wang
Interactive Learning for Interpretable Visual Recognition via Semantic-Aware Self-Teaching Framework. PRCV (9) (2023)
Wentao Wan, Zeqing Wang, Nan Kang, Keze Wang, Zhiyu Shen, Liang Lin
VisualProg Distiller: Learning to Fine-tune Non-differentiable Visual Programming Frameworks. CoRR (2023)
Hui Fu, Zeqing Wang, Ke Gong, Keze Wang, Tianshui Chen, Haojie Li, Haifeng Zeng, Wenxiong Kang
Mimic: Speaking Style Disentanglement for Speech-Driven 3D Facial Animation. CoRR (2023)
Ziyi Tang, Ruilin Wang, Weixing Chen, Keze Wang, Yang Liu, Tianshui Chen, Liang Lin
Towards CausalGPT: A Multi-Agent Approach for Faithful Knowledge Reasoning via Promoting Causal Consistency in LLMs. CoRR (2023)
Junfan Lin, Keze Wang, Ziliang Chen, Xiaodan Liang, Liang Lin
Towards Causality-Aware Inferring: A Sequential Discriminative Approach for Medical Diagnosis. IEEE Trans. Pattern Anal. Mach. Intell. 45 (11) (2023)
Yang Liu, Keze Wang, Lingbo Liu, Haoyuan Lan, Liang Lin
TCGL: Temporal Contrastive Graph for Self-Supervised Video Representation Learning. IEEE Trans. Image Process. 31 (2022)
Junying Huang, Fan Chen, Keze Wang, Liang Lin, Dongyu Zhang
Enhancing Prototypical Few-Shot Learning By Leveraging The Local-Level Strategy. ICASSP (2022)
Qingxing Cao, Bailin Li, Xiaodan Liang, Keze Wang, Liang Lin
Knowledge-Routed Visual Question Reasoning: Challenges for Deep Representation Embedding. IEEE Trans. Neural Networks Learn. Syst. 33 (7) (2022)
Guangrun Wang, Keze Wang, Guangcong Wang, Philip H. S. Torr, Liang Lin
Solving Inefficiency of Self-supervised Representation Learning. CoRR (2021)
Yang Liu, Keze Wang, Haoyuan Lan, Liang Lin
Temporal Contrastive Graph for Self-supervised Video Representation Learning. CoRR (2021)
Junfan Lin, Zhongzhan Huang, Keze Wang, Xiaodan Liang, Weiwei Chen, Liang Lin
Continuous Transition: Improving Sample Efficiency for Continuous Control Problems via MixUp. ICRA (2021)
Yang Liu, Keze Wang, Guanbin Li, Liang Lin
Semantics-Aware Adaptive Knowledge Distillation for Sensor-to-Vision Action Recognition. IEEE Trans. Image Process. 30 (2021)
Qingxing Cao, Wentao Wan, Keze Wang, Xiaodan Liang, Liang Lin
Linguistically Routing Capsule Network for Out-of-distribution Visual Question Answering. ICCV (2021)
Arjun Akula, Spandana Gella, Keze Wang, Song-Chun Zhu, Siva Reddy
Mind the Context: The Impact of Contextualization in Neural Module Networks for Grounding Visual Referring Expressions. EMNLP (1) (2021)
Yang Liu, Keze Wang, Lingbo Liu, Haoyuan Lan, Liang Lin
TCGL: Temporal Contrastive Graph for Self-supervised Video Representation Learning. CoRR (2021)
Guangrun Wang, Keze Wang, Guangcong Wang, Philip H. S. Torr, Liang Lin
Solving Inefficiency of Self-supervised Representation Learning. ICCV (2021)
Junying Huang, Fan Chen, Keze Wang, Liang Lin, Dongyu Zhang
Enhancing Prototypical Few-Shot Learning by Leveraging the Local-Level Strategy. CoRR (2021)
Arjun R. Akula, Keze Wang, Changsong Liu, Sari Saba-Sadiya, Hongjing Lu, Sinisa Todorovic, Joyce Chai, Song-Chun Zhu
CX-ToM: Counterfactual Explanations with Theory-of-Mind for Enhancing Human Trust in Image Recognition Models. CoRR (2021)
Junfan Lin, Zhongzhan Huang, Keze Wang, Xiaodan Liang, Weiwei Chen, Liang Lin
Continuous Transition: Improving Sample Efficiency for Continuous Control Problems via MixUp. CoRR (2020)
Yukai Shi, Guanbin Li, Qingxing Cao, Keze Wang, Liang Lin
Face Hallucination by Attentive Sequence Optimization with Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. 42 (11) (2020)
Keze Wang, Liang Lin, Chenhan Jiang, Chen Qian, Pengxu Wei
3D Human Pose Machines with Self-Supervised Learning. IEEE Trans. Pattern Anal. Mach. Intell. 42 (5) (2020)
Junfan Lin, Ziliang Chen, Xiaodan Liang, Keze Wang, Liang Lin
Learning Reinforced Agents with Counterfactual Simulation for Medical Automatic Diagnosis. CoRR (2020)
Guangrun Wang, Guangcong Wang, Keze Wang, Xiaodan Liang, Liang Lin
Grammatically Recognizing Images with Tree Convolution. KDD (2020)
Qingxing Cao, Xiaodan Liang, Keze Wang, Liang Lin
Linguistically Driven Graph Capsule Network for Visual Question Reasoning. CoRR (2020)
Qingxing Cao, Bailin Li, Xiaodan Liang, Keze Wang, Liang Lin
Knowledge-Routed Visual Question Reasoning: Challenges for Deep Representation Embedding. CoRR (2020)
Guangrun Wang, Keze Wang, Liang Lin
Adaptively Connected Neural Networks. CoRR (2019)
Guangrun Wang, Keze Wang, Liang Lin
Adaptively Connected Neural Networks. CVPR (2019)
Keze Wang, Liang Lin, Chenhan Jiang, Chen Qian, Pengxu Wei
3D Human Pose Machines with Self-supervised Learning. CoRR (2019)
Yukai Shi, Guanbin Li, Qingxing Cao, Keze Wang, Liang Lin
Face Hallucination by Attentive Sequence Optimization with Reinforcement Learning. CoRR (2019)
Keze Wang, Liang Lin, Xiaopeng Yan, Ziliang Chen, Dongyu Zhang, Lei Zhang
Cost-Effective Object Detection: Active Sample Mining With Switchable Selection Criteria. IEEE Trans. Neural Networks Learn. Syst. 30 (3) (2019)
Hefeng Wu, Yafei Hu, Keze Wang, Hanhui Li, Lin Nie, Hui Cheng
Instance-aware representation learning and association for online multi-person tracking. Pattern Recognit. 94 (2019)
Hefeng Wu, Yafei Hu, Keze Wang, Hanhui Li, Lin Nie, Hui Cheng
Instance-Aware Representation Learning and Association for Online Multi-Person Tracking. CoRR (2019)
Liang Lin, Keze Wang, Deyu Meng, Wangmeng Zuo, Lei Zhang
Active Self-Paced Learning for Cost-Effective and Progressive Face Identification. IEEE Trans. Pattern Anal. Mach. Intell. 40 (1) (2018)
Keze Wang, Xiaopeng Yan, Dongyu Zhang, Lei Zhang, Liang Lin
Towards Human-Machine Cooperation: Self-Supervised Sample Mining for Object Detection. CVPR (2018)
Keze Wang, Liang Lin, Chuangjie Ren, Wei Zhang, Wenxiu Sun
Convolutional Memory Blocks for Depth Data Representation Learning. IJCAI (2018)
Ziliang Chen, Keze Wang, Xiao Wang, Pai Peng, Ebroul Izquierdo, Liang Lin
Deep Co-Space: Sample Mining Across Feature Transformation for Semi-Supervised Learning. IEEE Trans. Circuits Syst. Video Technol. 28 (10) (2018)
Keze Wang, Liang Lin, Xiaopeng Yan, Ziliang Chen, Dongyu Zhang, Lei Zhang
Cost-effective Object Detection: Active Sample Mining with Switchable Selection Criteria. CoRR (2018)
Guanbin Li, Yuan Xie, Tianhao Wei, Keze Wang, Liang Lin
Flow Guided Recurrent Neural Encoder for Video Salient Object Detection. CVPR (2018)
Hui Cheng, Zhuoqi Zheng, Jinhao He, Chongyu Chen, Keze Wang, Liang Lin
Embedding Temporally Consistent Depth Recovery for Real-time Dense Mapping in Visual-inertial Odometry. IROS (2018)
Keze Wang, Xiaopeng Yan, Dongyu Zhang, Lei Zhang, Liang Lin
Towards Human-Machine Cooperation: Self-supervised Sample Mining for Object Detection. CoRR (2018)
Keze Wang, Dongyu Zhang, Ya Li, Ruimao Zhang, Liang Lin
Cost-Effective Active Learning for Deep Image Classification. IEEE Trans. Circuits Syst. Video Technol. 27 (12) (2017)
Lin Nie, Keze Wang, Wenxiong Kang, Yuefang Gao
Image Retrieval with Attribute-Associated Auxiliary References. DICTA (2017)
Liang Lin, Keze Wang, Deyu Meng, Wangmeng Zuo, Lei Zhang
Active Self-Paced Learning for Cost-Effective and Progressive Face Identification. CoRR (2017)
Mude Lin, Liang Lin, Xiaodan Liang, Keze Wang, Hui Cheng
Recurrent 3D Pose Sequence Machines. CVPR (2017)
Ziliang Chen, Keze Wang, Xiao Wang, Pai Peng, Ebroul Izquierdo, Liang Lin
Deep Co-Space: Sample Mining Across Feature Transformation for Semi-Supervised Learning. CoRR (2017)
Yukai Shi, Keze Wang, Chongyu Chen, Li Xu, Liang Lin
Structure-Preserving Image Super-resolution via Contextualized Multi-task Learning. CoRR (2017)
Ya Li, Keze Wang, Lin Nie, Qing Wang
Face Recognition via Heuristic Deep Active Learning. CCBR (2017)
Mude Lin, Liang Lin, Xiaodan Liang, Keze Wang, Hui Cheng
Recurrent 3D Pose Sequence Machines. CoRR (2017)
Yukai Shi, Keze Wang, Chongyu Chen, Li Xu, Liang Lin
Structure-Preserving Image Super-Resolution via Contextualized Multitask Learning. IEEE Trans. Multim. 19 (12) (2017)
Keze Wang, Dongyu Zhang, Ya Li, Ruimao Zhang, Liang Lin
Cost-Effective Active Learning for Deep Image Classification. CoRR (2017)
Lin Nie, Keze Wang, Xiaoling Fan, Yuefang Gao
Fine-Grained Butterfly Recognition with Deep Residual Networks: A New Baseline and Benchmark. DICTA (2017)
Yukai Shi, Keze Wang, Li Xu, Liang Lin
Local- and holistic-structure preserving image super resolution via deep joint component learning. ICME (2016)
Keze Wang, Shengfu Zhai, Hui Cheng, Xiaodan Liang, Liang Lin
Human Pose Estimation from Depth Images via Inference Embedded Multi-task Learning. ACM Multimedia (2016)
Keze Wang, Shengfu Zhai, Hui Cheng, Xiaodan Liang, Liang Lin
Human Pose Estimation from Depth Images via Inference Embedded Multi-task Learning. CoRR (2016)
Keze Wang, Liang Lin, Wangmeng Zuo, Shuhang Gu, Lei Zhang
Dictionary Pair Classifier Driven Convolutional Neural Networks for Object Detection. CVPR (2016)
Liang Lin, Keze Wang, Wangmeng Zuo, Meng Wang, Jiebo Luo, Lei Zhang
A Deep Structured Model with Radius-Margin Bound for 3D Human Activity Recognition. Int. J. Comput. Vis. 118 (2) (2016)
Yukai Shi, Keze Wang, Li Xu, Liang Lin
Local- and Holistic- Structure Preserving Image Super Resolution via Deep Joint Component Learning. CoRR (2016)
Linnan Zhu, Keze Wang, Liang Lin, Lei Zhang
Learning a lightweight deep convolutional network for joint age and gender recognition. ICPR (2016)
Liang Lin, Keze Wang, Wangmeng Zuo, Meng Wang, Jiebo Luo, Lei Zhang
A Deep Structured Model with Radius-Margin Bound for 3D Human Activity Recognition. CoRR (2015)
Keze Wang, Liang Lin, Jiangbo Lu, Chenglong Li, Keyang Shi
PISA: Pixelwise Image Saliency by Aggregating Complementary Appearance Contrast Measures with Edge-Preserving Coherence. CoRR (2015)
Keze Wang, Xiaolong Wang, Liang Lin, Meng Wang, Wangmeng Zuo
3D Human Activity Recognition with Reconfigurable Convolutional Neural Networks. CoRR (2015)
Keze Wang, Liang Lin, Jiangbo Lu, Chenglong Li, Keyang Shi
PISA: Pixelwise Image Saliency by Aggregating Complementary Appearance Contrast Measures With Edge-Preserving Coherence. IEEE Trans. Image Process. 24 (10) (2015)
Keze Wang, Xiaolong Wang, Liang Lin, Meng Wang, Wangmeng Zuo
3D Human Activity Recognition with Reconfigurable Convolutional Neural Networks. ACM Multimedia (2014)
Keyang Shi, Keze Wang, Jiangbo Lu, Liang Lin
PISA: Pixelwise Image Saliency by Aggregating Complementary Appearance Contrast Measures with Spatial Priors. CVPR (2013)