Journal Papers

• Towards Causality-Aware Inferring: A Sequential Discriminative Approach for Medical Diagnosis. To appear in IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2023. [paper]
  Junfan Lin, Keze Wang*, Ziliang Chen, Xiaodan Liang, Liang Lin
• Multi-Person 3D Pose Estimation With Occlusion Reasoning. To appear in IEEE Transactions on Multimedia (T-MM), 2023. [paper]
  Xipeng Chen, Junzheng Zhang, Keze Wang, Pengxu Wei, Liang Lin*
• TCGL: Temporal Contrastive Graph for Self-supervised Video Representation Learning. In IEEE Transactions on Image Processing (T-IP), 2022. [paper]
  Yang Liu, Keze Wang*, Lingbo Liu, Haoyuan Lan, Liang Lin
• CX-ToM: Counterfactual explanations with theory-of-mind for enhancing human trust in image recognition models. In iScience Cell Press Journal 2022. [paper]
  Arjun R Akula*, Keze Wang*, Changsong Liu, Sari Saba-Sadiya, Hongjing Lu, Sinisa Todorovic, Joyce Chai, Song-Chun Zhu
• Semantics-aware adaptive knowledge distillation for sensor-to-vision action recognition. In IEEE Transactions on Image Processing (T-IP), 2021. [paper]
  Yang Liu, Keze Wang*, Guanbin Li, Liang Lin
• Knowledge-Routed Visual Question Reasoning: Challenges for Deep Representation Embedding. In IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), 2021. [paper][Dataset][Chinese Media Report]
  Qingxing Cao, Bailin Li, Xiaodan Liang, Keze Wang, Liang Lin*
• 3D Human Pose Machines with Self-supervised Learning. in IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), vol. 42, no. 5, pp. 1069-1082, 2020. [paper][code][ProjectPage][Media Report]
  Keze Wang, Liang Lin*, Chenhan Jiang, Chen Qian, and Pengxu Wei.
• Cost-Effective Object Detection: Active Sample Mining with Switchable Selection Criteria. In IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), vol. 30, no. 3, pp. 834-850, 2019. [paper][ProjectPage][code][code in pytorch]
  Keze Wang, Liang Lin*, Xiaopeng Yan, Ziliang Chen, and Lei Zhang.
• Active Self-Paced Learning for Cost-Effective and Progressive Face Identification. In IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), vol. 40, no. 1, pp. 7-19, 2018. [paper][code][ProjectPage]
  Liang Lin*, Keze Wang, Deyu Meng, Wangmeng Zuo, and Lei Zhang.
• Cost-Effective Active Learning for Deep Image Classification. In IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), vol. 27, no. 12, pp. 2591-2600, 2017. [paper]
  Keze Wang, Dongyu Zhang, Ya Li, Ruimao Zhang, and Liang Lin.
• Structure-Preserving Image Super-resolution via Contextualized Multi-task Learning. In IEEE Transactions on Mulitmedia (TMM), vol. 19, no. 12, pp. 2804-2815, 2017. [paper][ProjectPage][Code]
  Yukai Shi, Keze Wang, Chongyu Chen*, Li Xu and Liang Lin.
• Deep Co-Space: Sample Mining Across Feature Transformation for Semi-Supervised Learning. In IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), vol. 28, no. 10, pp. 2667-2678, 2017. [paper][ProjectPage]
  Ziliang Chen, Keze Wang, Xiao Wang, Pai Peng and Liang Lin*.
• A Deep Structured Model with Radius–Margin Bound for 3D Human Activity Recognition. In International Journal of Computer Vision (IJCV), vol. 118, no. 2, pp. 256-273, 2016. [paper]
  Liang Lin*, Keze Wang, Wangmeng Zuo, Meng Wang, Jiebo Luo, and Lei Zhang.
• PISA: Pixelwise Image Saliency by Aggregating Complementary Appearance Contrast Measures with Edge-Preserving Coherence. In IEEE Transactions on Image Processing (T-IP), vol. 24, no. 10, pp. 3019-3033, 2015. [paper][code][ProjectPage]
  Keze Wang, Liang Lin*, Jiangbo Lu, Chenglong Li, and Keyang Shi.

Conference Papers

2024

• Adaptive Prompt Routing for Arbitrary Text Style Transfer with Pre-trained Language Models. To appear in Annual AAAI Conference on Artificial Intelligence (AAAI), 2024.
  Qingyi Liu, Jinhui Qin, Wenxuan Ye, Hao Mou, Yuxuan He, Keze Wang*.
• NeRF-VPT: Learning Novel View Representations with Neural Radiance Fields via View Prompt Tuning. To appear in Annual AAAI Conference on Artificial Intelligence (AAAI), 2024.
  Linsheng Chen, Guangrun Wang, Liuchun Yuan, Keze Wang*, Ken Deng, Philip H.S. Torr.
• Mimic: Speaking Style Disentanglement for Speech-Driven 3D Facial Animation. To appear in Annual AAAI Conference on Artificial Intelligence (AAAI), 2024.
  Hui Fu, Zeqing Wang, Ke Gong, Keze Wang, Tianshui Chen, Haojie Li, Haifeng Zeng, Wenxiong Kang*.
• Gesture Generation via Diffusion Model with Attention Mechanism. To appear in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024.
  Lingling Li, Weicong Li, Qiyuan Ding, Chengpei Tang, Keze Wang*.

2021

• Mind the Context: The Impact of Contextualization in Neural Module Networks for Grounding Visual Referring Expressions. In Proc. of Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021. [paper]
  Arjun Akula, Spandana Gella, Keze Wang, Song-Chun Zhu, Siva Reddy.

• Solving inefficiency of self-supervised representation learning. In Proc. of International Conference on Conference on Computer Vision (ICCV), 2021. [paper]
  Guangrun Wang, Keze Wang, Guangcong Wang, Philip HS Torr, Liang Lin.

• Linguistically Routing Capsule Network for Out-of-Distribution Visual Question Answering. In Proc. of International Conference on Conference on Computer Vision (ICCV), 2021. [paper]
  Qingxing Cao, Wentao Wan, Keze Wang, Xiaodan Liang, Liang Lin*

• Continuous Transition: Improving Sample Efficiency for Continuous Control Problems via MixUp. In Proc. of International Conference on Robotics and Automation (ICRA), 2021. [paper][code][video]
  Junfan Lin, Zhongzhan Huang, Keze Wang*, Xiaodan Liang, Weiwei Chen, Liang Lin.

2020

• Grammatically Recognizing Images with Tree Convolution. In Proc. of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD), 2020. [paper][code]
  Guangrun Wang, Guangcong Wang, Keze Wang, Xiaodan Liang, and Liang Lin*.

2019

• Adaptively Connected Neural Networks. In Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. [paper][code]
  Guangrun Wang, Keze Wang, Liang Lin*.

2018

• Convolutional Memory Blocks for Depth Data Representation Learning. In Proc. of International Joint Conference on Artificial Intelligence (IJCAI), 2018. [paper]
  Keze Wang, Liang Lin*, Chuangjie Ren, Wei Zhang, Wenxiu Sun.
• Towards Human-Machine Cooperation: Self-supervised Sample Mining for Object Detection. In Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. [paper][ProjectPage][code][code in pytorch][Chinese Briefing]
  Keze Wang, Xiaopeng Yan, Donyu Zhang, Lei Zhang, Liang Lin*.

2017

• Recurrent 3D Pose Sequence Machines. In Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. [paper][code]
  Mude Lin, Liang Lin, Xiaodan Liang, Keze Wang, and Hui Cheng*.

2016

• Human Pose Estimation from Depth Images via Inference Embedded Multi-task Learning. In Proceedings of the ACM International Conference on Multimedia (ACM MM), 2016. (full paper, oral) [paper][Dataset]
  Keze Wang, Shengfu Zhai, Hui Cheng, Xiaodan Liang, and Liang Lin*.
• Dictionary Pair Classifier Driven Convolutional Neural Networks for Object Detection. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. [Paper]
  Keze Wang, Liang Lin*, Wangmeng Zuo, Shuhang Gu, and Lei Zhang.
• Local- and Holistic- Structure Preserving Image Super-Resolution via Deep Joint Component Learning. In Proceedings of the IEEE International Conference on Multimedia and Expo (ICME), 2016. (oral) [paper]
  Yukai Shi, Keze Wang, Li Xu, Liang Lin*.
• Learning a Lightweight Deep Convolutional Network for Joint Age and Gender Recognition. In Proceedings of the IEEE International Conference on Pattern Recognition (ICPR), 2016. (oral) [paper]
  Linnan Zhu, Keze Wang, Liang Lin, Lei Zhang*.

2014

• 3D Human Activity Recognition with Reconfigurable Convolutional Neural Networks. In ACM International Conference on Multimedia (ACM MM), 2014. (full paper, oral) [paper][dataset description][dataset download]
  Keze Wang, Xiaolong Wang, and Liang Lin*.

2013

• PISA: Pixelwise Image Saliency by Aggregating Complementary Appearance Contrast Measures with Spatial Priors. In Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013. [paper]
  Keyang Shi, Keze Wang, Jiangbo Lu, and Liang Lin*.