{"id":964,"date":"2024-03-20T12:00:11","date_gmt":"2024-03-20T19:00:11","guid":{"rendered":"https:\/\/faculty.engineering.asu.edu\/yezhouyang\/?page_id=964"},"modified":"2024-03-20T12:00:11","modified_gmt":"2024-03-20T19:00:11","slug":"research-and-publication","status":"publish","type":"page","link":"https:\/\/faculty.engineering.asu.edu\/yezhouyang\/research-and-publication\/","title":{"rendered":"Research and Publication"},"content":{"rendered":"\n

Publications<\/h2>\n\n\n\n
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Gokhale, Tejas, Pratyay Banerjee, Chitta Baral, and Yezhou Yang. \u201cVQA-LOL: Visual question answering under the lens of logic.\u201d In European Conference on Computer Vision <\/em>(2020).<\/p>\n\n\n\n

Wang, Zhe, Zhiyuan Fang, Jun Wang, and Yezhou Yang. \u201cViTAA: Visual-Textual Attributes Alignment in Person Search by Natural Language.\u201d In European Conference on Computer Vision<\/em> (2020).<\/p>\n\n\n\n

Bajestani, Mohammad Farhadi, and Yezhou Yang. \u201cTkd: Temporal knowledge distillation for active perception.\u201d In The IEEE Winter Conference on Applications of Computer Vision<\/em>, pp. 953-962. 2020.<\/p>\n\n\n\n

Gunasekar, Kausic, Qiang Qiu, and Yezhou Yang. \u201cLow to High Dimensional Modality Hallucination Using Aggregated Fields of View.\u201d IEEE Robotics and Automation Letters<\/em> 5, no. 2 (2020): 1983-1990.<\/p>\n\n\n\n

Ye, Xin, Zhe Lin, Joon-Young Lee, Jianming Zhang, Shibin Zheng, and Yezhou Yang. \u201cGaple: Generalizable approaching policy learning for robotic object searching in indoor environment.\u201d IEEE Robotics and Automation Letters<\/em> 4, no. 4 (2019): 4003-4010.<\/p>\n\n\n\n

Ye, Xin, Zhe Lin, and Yezhou Yang. \u201cRobot learning of manipulation activities with overall planning through precedence graph.\u201d Robotics and Autonomous Systems<\/em> 116 (2019): 126-135.<\/p>\n\n\n\n

Fang, Zhiyuan, Shu Kong, Charless Fowlkes, and Yezhou Yang. \u201cModularized Textual Grounding for Counterfactual Resilience.\u201d IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) (2019).<\/p>\n\n\n\n

Aditya, Somak, Yezhou Yang, and Chitta Baral. \u201cIntegrating knowledge and reasoning in image understanding.\u201d In Proceedings of the 28th International Joint Conference on Artificial Intelligence<\/em>, pp. 6252-6259. AAAI Press, 2019.<\/p>\n\n\n\n

Farhadi, Mohammad, Mehdi Ghasemi, and Yezhou Yang. \u201cA novel design of adaptive and hierarchical convolutional neural networks using partial reconfiguration on fpga.\u201d In 2019 IEEE High Performance Extreme Computing Conference (HPEC)<\/em>, pp. 1-7. IEEE, 2019.<\/p>\n\n\n\n

Ren, Yi, Steven Elliott, Yiwei Wang, Yezhou Yang, and Wenlong Zhang. \u201cHow Shall I Drive? Interaction Modeling and Motion Planning towards Empathetic and Socially-Graceful Driving.\u201d IEEE International Conference on Robotics and Automation (ICRA) (2019).<\/p>\n\n\n\n

Aditya, Somak, Rudra Saha, Yezhou Yang, and Chitta Baral. \u201cSpatial Knowledge Distillation to aid Visual Reasoning.\u201d In 2019 IEEE Winter Conference on Applications of Computer Vision (WACV)<\/em>, pp. 227-235. IEEE, 2019.<\/p>\n\n\n\n

Xin Ye, Zhe Lin, Haoxiang Li, Shibin Zheng and Yezhou Yang. Active Object Perceiver: Recognition-guided Policy Learning for Object Searching on Mobile Robots, the IEEE\/RSJ International Conference on Intelligent Robots and Systems, 2018<\/p>\n\n\n\n

Izadyyazdanabadi, Mohammadhassan and Belykh, Evgenii and Mooney, Michael and Martirosyan, Nikolay and Eschbacher, Jennifer and Nakaji, Peter and Preul, Mark C and Yang, Yezhou. Convolutional Neural Networks: Ensemble Modeling, Fine-Tuning and Unsupervised Semantic Localization for Neurosurgical CLE Images, Journal of Visual Communication and Image Representation (JVCI), Vol. 50, Page 10-20, 2018<\/p>\n\n\n\n

Somak Aditya, Chitta Baral, Yezhou Yang, Cornelia Fermuller, Yiannis Aloimonos. Image Understanding using vision and reasoning through Scene Description Graph., Journal of Computer Vision and Image Understanding (CVIU) (2018)<\/p>\n\n\n\n

Izadyyazdanabadi, Mohammadhassan, Evgenii Belykh, Michael Mooney, Jennifer Eschbacher, Peter Nakaji, Yezhou Yang, and Mark Preul. \u201dProspects for Theranostics in Neurosurgical Imaging: Empowering Confocal Laser Endomicroscopy Diagnostics via Deep Learning.\u201d Frontiers in Oncology 8 (2018): 240.<\/p>\n\n\n\n

Somak Aditya, Yezhou Yang, Chitta Baral, Yiannis Aloimonos. Combining Knowledge and Reasoning through Probabilistic Soft Logic for Image Puzzle Solving, Conference on Uncertainty in Artificial Intelligence (UAI), 2018<\/p>\n\n\n\n

Mohammadhassan Izadyyazdanabadi1, Evgenii Belykh, Claudio Cavallo, Xiao-chun Zhao, Sirin Gandhi, Leandro Borba Moreira, Jennifer Eschbacher, Peter Nakaji, Mark C. Preul and Yang, Yezhou. Weakly-Supervised Learning-Based Feature Localization in Confocal Laser Endomicroscopy Glioma Images., 21st International Conference On Medical Image Computing & Computer Assisted Intervention (MICCAI) 2018<\/p>\n\n\n\n

Zunlei Feng, Zhenyun Yu, Yezhou Yang, Yongcheng Jing, Junxiao Jiang, and Mingli Song. \u201dInterpretable Partitioned Embedding for Customized Multi-item Fashion Outfit Composition.\u201d In Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, pp. 143-151. ACM, 2018.<\/p>\n\n\n\n

Jie Song, Chengchao Shen, Yezhou Yang, Yang Liu, and Mingli Song. Transductive Unbiased Embedding for Zero-Shot Learning. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) 2018.<\/p>\n\n\n\n

Simon Stepputtis, Yezhou Yang, Heni Ben Amor. Extrinsic Dexterity through Active Slip Control using Deep Predictive Models, IEEE International Conference on Robotics and Automation (ICRA) 2018.<\/p>\n\n\n\n

Somak Aditya, Yezhou Yang, Chitta Baral. Explicit Reasoning over End-to-End Neural Architectures for Visual Question Answering, the Thirty-Second AAAI Conference on Artificial Intelligence 2018.<\/p>\n\n\n\n

Somak Aditya, Yezhou Yang, Chitta Baral, Yiannis Aloimonos, Cornelia Ferm\u00fcller. Image Understanding using Vision and Reasoning through Scene Description Graph. Computer Vision and Image Understanding (CVIU) Dec 2017 <\/em>. 2018.
Paper<\/a> Poster Project<\/a><\/p>\n\n\n\n

Somak Aditya, Yezhou Yang and Chitta Baral. Explicit Reasoning over End-to-End Neural Architectures for Visual Question Answering. The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18)<\/em>. 2018.
Paper<\/a> Poster Project<\/a><\/p>\n\n\n\n

Wenlong Zhang, Yezhou Yang and Yi Ren. Towards Understanding Human Decisions in Human-Robot Interactions. ASME 2017 Dynamic Systems and Control Conference, 2017 (DSCC 17)<\/em>. 2017.
Paper<\/a> Poster Project<\/a><\/p>\n\n\n\n

Xin Ye*, Yiwei Wang*, Yezhou Yang and Wenlong Zhang. Collision-free Trajectory Planning in Human-robot Interaction through Hand Movement Prediction from Vision.\u00a0The 2017 IEEE-RAS International Conference on Humanoid Robots (HUMANOIDS)<\/em>. 2017.
Paper<\/a>\u00a0Poster\u00a0Project<\/a>Gokhale, Tejas, Pratyay Banerjee, Chitta Baral, and Yezhou Yang. \u201cVQA-LOL: Visual question answering under the lens of logic.\u201d In\u00a0<\/span>European Conference on Computer Vision\u00a0<\/i>(2020).<\/span>

Wang, Zhe, Zhiyuan Fang, Jun Wang, and Yezhou Yang. \u201cViTAA: Visual-Textual Attributes Alignment in Person Search by Natural Language.\u201d In\u00a0European Conference on Computer Vision<\/i>\u00a0(2020).Bajestani, Mohammad Farhadi, and Yezhou Yang. \u201cTkd: Temporal knowledge distillation for active perception.\u201d In\u00a0The IEEE Winter Conference on Applications of Computer Vision<\/i>, pp. 953-962. 2020.Gunasekar, Kausic, Qiang Qiu, and Yezhou Yang. \u201cLow to High Dimensional Modality Hallucination Using Aggregated Fields of View.\u201d\u00a0IEEE Robotics and Automation Letters<\/i>\u00a05, no. 2 (2020): 1983-1990.Ye, Xin, Zhe Lin, Joon-Young Lee, Jianming Zhang, Shibin Zheng, and Yezhou Yang. \u201cGaple: Generalizable approaching policy learning for robotic object searching in indoor environment.\u201d\u00a0IEEE Robotics and Automation Letters<\/i>\u00a04, no. 4 (2019): 4003-4010.Ye, Xin, Zhe Lin, and Yezhou Yang. \u201cRobot learning of manipulation activities with overall planning through precedence graph.\u201d\u00a0Robotics and Autonomous Systems<\/i>\u00a0116 (2019): 126-135.Fang, Zhiyuan, Shu Kong, Charless Fowlkes, and Yezhou Yang. \u201cModularized Textual Grounding for Counterfactual Resilience.\u201d IEEE International Conference on Computer Vision and Pattern Recognition (CVPR)\u00a0(2019).Aditya, Somak, Yezhou Yang, and Chitta Baral. \u201cIntegrating knowledge and reasoning in image understanding.\u201d In\u00a0Proceedings of the 28th International Joint Conference on Artificial Intelligence<\/i>, pp. 6252-6259. AAAI Press, 2019.Farhadi, Mohammad, Mehdi Ghasemi, and Yezhou Yang. \u201cA novel design of adaptive and hierarchical convolutional neural networks using partial reconfiguration on fpga.\u201d In\u00a02019 IEEE High Performance Extreme Computing Conference (HPEC)<\/i>, pp. 1-7. IEEE, 2019.Ren, Yi, Steven Elliott, Yiwei Wang, Yezhou Yang, and Wenlong Zhang. \u201cHow Shall I Drive? Interaction Modeling and Motion Planning towards Empathetic and Socially-Graceful Driving.\u201d IEEE International Conference on Robotics and Automation (ICRA)\u00a0(2019).Aditya, Somak, Rudra Saha, Yezhou Yang, and Chitta Baral. \u201cSpatial Knowledge Distillation to aid Visual Reasoning.\u201d In\u00a02019 IEEE Winter Conference on Applications of Computer Vision (WACV)<\/i>, pp. 227-235. IEEE, 2019.Xin Ye, Zhe Lin, Haoxiang Li, Shibin Zheng and Yezhou Yang. Active Object Perceiver: Recognition-guided Policy Learning for Object Searching on Mobile Robots, the IEEE\/RSJ International Conference on Intelligent Robots and Systems, 2018Izadyyazdanabadi, Mohammadhassan and Belykh, Evgenii and Mooney, Michael and Martirosyan, Nikolay and Eschbacher, Jennifer and Nakaji, Peter and Preul, Mark C and Yang, Yezhou. Convolutional Neural Networks: Ensemble Modeling, Fine-Tuning and Unsupervised Semantic Localization for Neurosurgical CLE Images, Journal of Visual Communication and Image Representation (JVCI), Vol. 50, Page 10-20, 2018Somak Aditya, Chitta Baral, Yezhou Yang, Cornelia Fermuller, Yiannis Aloimonos. Image Understanding using vision and reasoning through Scene Description Graph., Journal of Computer Vision and Image Understanding (CVIU) (2018)Izadyyazdanabadi, Mohammadhassan, Evgenii Belykh, Michael Mooney, Jennifer Eschbacher, Peter Nakaji, Yezhou Yang, and Mark Preul. \u201dProspects for Theranostics in Neurosurgical Imaging: Empowering Confocal Laser Endomicroscopy Diagnostics via Deep Learning.\u201d Frontiers in Oncology 8 (2018): 240.Somak Aditya, Yezhou Yang, Chitta Baral, Yiannis Aloimonos. Combining Knowledge and Reasoning through Probabilistic Soft Logic for Image Puzzle Solving, Conference on Uncertainty in Artificial Intelligence (UAI), 2018Mohammadhassan Izadyyazdanabadi1, Evgenii Belykh, Claudio Cavallo, Xiao-chun Zhao, Sirin Gandhi, Leandro Borba Moreira, Jennifer Eschbacher, Peter Nakaji, Mark C. Preul and Yang, Yezhou. Weakly-Supervised Learning-Based Feature Localization in Confocal Laser Endomicroscopy Glioma Images., 21st International Conference On Medical Image Computing & Computer Assisted Intervention (MICCAI) 2018Zunlei Feng, Zhenyun Yu, Yezhou Yang, Yongcheng Jing, Junxiao Jiang, and Mingli Song. \u201dInterpretable Partitioned Embedding for Customized Multi-item Fashion Outfit Composition.\u201d In Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, pp. 143-151. ACM, 2018.Jie Song, Chengchao Shen, Yezhou Yang, Yang Liu, and Mingli Song. Transductive Unbiased Embedding for Zero-Shot Learning. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) 2018.Simon Stepputtis, Yezhou Yang, Heni Ben Amor. Extrinsic Dexterity through Active Slip Control using Deep Predictive Models, IEEE International Conference on Robotics and Automation (ICRA) 2018.Somak Aditya, Yezhou Yang, Chitta Baral. Explicit Reasoning over End-to-End Neural Architectures for Visual Question Answering, the Thirty-Second AAAI Conference on Artificial Intelligence 2018.\u00a0<\/p><\/div><\/a>

Somak Aditya, Yezhou Yang, Chitta Baral, Yiannis Aloimonos, Cornelia Ferm\u00fcller. Image Understanding using Vision and Reasoning through Scene Description Graph.\u00a0Computer Vision and Image Understanding (CVIU) Dec 2017\u00a0<\/i>. 2018.Paper<\/a>\u00a0Poster\u00a0Project<\/a><\/p>

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Somak Aditya, Yezhou Yang and Chitta Baral. Explicit Reasoning over End-to-End Neural Architectures for Visual Question Answering.\u00a0The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18)<\/i>. 2018.Paper<\/a>\u00a0Poster\u00a0Project<\/a><\/p>

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Wenlong Zhang, Yezhou Yang and Yi Ren. Towards Understanding Human Decisions in Human-Robot Interactions.\u00a0ASME 2017 Dynamic Systems and Control Conference, 2017 (DSCC 17)<\/i>. 2017.Paper<\/a>\u00a0Poster\u00a0Project<\/a><\/p>

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Xin Ye*, Yiwei Wang*, Yezhou Yang and Wenlong Zhang. Collision-free Trajectory Planning in Human-robot Interaction through Hand Movement Prediction from Vision.\u00a0The 2017 IEEE-RAS International Conference on Humanoid Robots (HUMANOIDS)<\/i>. 2017.Paper<\/a>\u00a0Poster\u00a0Project<\/a><\/p><\/div><\/p>\n\n\n\n

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Chengxi Ye, Yezhou Yang, Cornelia Ferm\u00fcller and Yiannis Aloimonos. What Can I Do Around Here? Deep Functional Scene Understanding for Cognitive Robot. 2017 International Conference on Robotics and Automation (ICRA) <\/em>. 2017.
Paper<\/a> Poster Project<\/a><\/p>\n<\/div>\n\n\n\n

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Wentao Luan, Yezhou Yang, Cornelia Ferm\u00fcller and John Baras. Fast Task-Specific Target Detection via Graph Based Constraints Representation and Checking. 2017 International Conference on Robotics and Automation (ICRA) <\/em>. 2017.
Paper<\/a> Poster Project<\/a><\/p>\n<\/div>\n\n\n\n

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Eren Erdal Aksoy, Ekaterina Ovchinnikova, Adil Orhan, Yezhou Yang and Tamim Asfour. Unsupervised Linking of Visual Features to Textual Descriptions in Long Manipulation Activities. 2017 International Conference on Robotics and Automation (ICRA) and Robotics and Automation Letters (RA-L) <\/em>. 2017.
Paper<\/a> Poster Project<\/a><\/p>\n<\/div>\n\n\n\n

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Cornelia Ferm\u00fcller, Fang Wang, Yezhou Yang, Konstantinos Zampogiannis, Yi Zhang, Francisco Barranco, Michael Pfeiffer. Prediction of Manipulation Actions. International Journal on Computer Vision (IJCV) <\/em>. 2017.
Paper<\/a> Poster Project<\/a><\/p>\n<\/div>\n\n\n\n

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Publications before 2016\u00a0bib<\/a><\/h2>\n\n\n\n
Computer Vision<\/a>\u00a0|\u00a0Robotics<\/a>\u00a0|\u00a0AI, Computational Linguistics and Cognitive Systems<\/a>\u00a0|\u00a0Other Publications<\/a><\/h5>\n\n\n\n
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Computer Vision<\/h3>\n<\/div>\n\n\n\n
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Wentao Luan, Yezhou Yang, Cornelia Ferm\u00fcller and John Baras. Reliable Attribute-Based Object Recognition Using High Predictive Value Classifiers. 2016 the 14th European Conference on Computer Vision (ECCV) <\/em>. 2016.
Paper<\/a> Poster Project<\/a><\/p>\n<\/div>\n\n\n\n

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Yezhou Yang, Cornelia Ferm\u00fcller, Yi Li and Yiannis Aloimonos. Grasp Type Revisited: A Modern Perspective on A Classical Feature for Vision. 2015 IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) <\/em>. 2015.
Paper<\/a>Poster<\/a>Project<\/a><\/p>\n<\/div>\n\n\n\n

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Yezhou Yang, Cornelia Ferm\u00fcller, Yiannis Aloimonos. Detection of Manipulation Action Consequences (MAC). IEEE International Conference on Computer Vision and Pattern Recognition, CVPR <\/em>. 2013.Paper<\/a>Poster<\/a>Dataset<\/a>ROS package<\/a><\/p>\n<\/div>\n\n\n\n

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Xiaodong Yu, Ching Lik Teo, Yezhou Yang, Cornelia Ferm\u00fcller, Yiannis Aloimonos. Action Attribute Detection from Sports Videos with Contextual Constraints.British Machine Vision Conference (BMVC)<\/em>. 2013.Paper<\/a>Poster<\/a>Dataset<\/a><\/p>\n<\/div>\n\n\n\n

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Xiaodong Yu, Cornelia Ferm\u00fcller, Ching L. Teo, Yezhou Yang, Yiannis Aloimonos. Active Scene Recognition with Vision and Language. International Conference on Computer Vision, ICCV<\/em>. 2011.Paper<\/a>Poster<\/a><\/p>\n<\/div>\n\n\n\n

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Yezhou Yang, Mingli Song, N. Li, J. Bu, C. Chen; What is the Chance of Happening: a New Way to Predict Where People Look. The 11th European Conference on Computer Vision, ECCV<\/em>. 2010.Paper<\/a><\/p>\n<\/div>\n\n\n\n

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Robotics<\/h3>\n<\/div>\n\n\n\n
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Ren Mao, John Baras, Yezhou Yang, Cornelia Ferm\u00fcller. Co-active Learning to Adapt Humanoid Movement for Manipulation. 2016 IEEE-RAS International Conference on Humanoid Robots (Humanoids) <\/em>. 2016.
Paper<\/a> Project<\/p>\n<\/div>\n\n\n\n

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Konstantinos Zampogiannis, Yezhou Yang, Cornelia Ferm\u00fcller and Yiannis Aloimonos. Learning the Spatial Semantics of Manipulation Actions through Preposition Grounding. 2015 IEEE International Conference on Robotics and Automation (ICRA) <\/em>. 2015.
Paper<\/a>Poster<\/a>Project<\/a><\/p>\n<\/div>\n\n\n\n

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Yezhou Yang, Anupam Guha, Cornelia Ferm\u00fcller, Yiannis Aloimonos. Manipulation Action Tree Bank: A Knowledge Resource for Humanoids. IEEE-RAS International Conference on Humanoid Robots, Humanoids<\/em>. 2014.Paper<\/a> Slides Salad Making Tree Bank<\/a><\/p>\n<\/div>\n\n\n\n

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Ren Mao, Yezhou Yang, Cornelia Ferm\u00fcller, Yiannis Aloimonos. Learning Hand Movements from Markerless Demonstrations for Humanoid Tasks. IEEE-RAS International Conference on Humanoid Robots, Humanoids<\/em>. 2014.Paper<\/a> Slides<\/p>\n<\/div>\n\n\n\n

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Yezhou Yang, Ching L. Teo, Cornelia Ferm\u00fcller, Yiannis Aloimonos. Robots with Language: Multi-Label Visual Recognition Using NLP.IEEE International Conference on Robotics and Automation, ICRA<\/em>. 2013.Paper<\/a> Slides<\/p>\n<\/div>\n\n\n\n

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Anupam Guha, Yezhou Yang, Cornelia Ferm\u00fcller, Yiannis Aloimonos. Minimalist Plans for Interpreting Manipulation Actions.IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)<\/em>. 2013.Paper<\/a> Slides<\/p>\n<\/div>\n\n\n\n

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Douglas Summers-stay, Ching L. Teo, Yezhou Yang, Cornelia Ferm\u00fcller, Yiannis Aloimonos. Using a Minimal Action Grammar for Activity Understanding in the Real World. IEEE\/RSJ International Conference on Intelligent Robots and Systems, IROS<\/em>. 2012.Paper<\/a>slides<\/a>Dataset<\/a><\/p>\n<\/div>\n\n\n\n

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Ching L. Teo, Yezhou Yang, Hal Daum\u00e9 III, Cornelia Ferm\u00fcller, Yiannis Aloimonos. Towards a Watson That Sees: Language-Guided Action Recognition for Robots. IEEE International Conference on Robotics and Automation, ICRA<\/em>. 2012.Paper<\/a>Slides<\/a>Dataset<\/a><\/p>\n<\/div>\n\n\n\n

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AI, Computational Linguistics and Cognitive Systems<\/h3>\n<\/div>\n\n\n\n
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Somak Aditya, Chitta Baral, Yezhou Yang, Cornelia Fermuller and Yiannis Aloimonos. DeepIU: An Architecture for Image Understanding. Advances in Cognitive Systems (ACS) 4 (2016)<\/em>. 2016.
Paper<\/a>Poster<\/a>Project<\/a><\/p>\n<\/div>\n\n\n\n

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Yezhou Yang, Cornelia Ferm\u00fcller, Yiannis Aloimonos and Eren Erdal Aksoy. Learning the Semantics of Manipulation Action. The 53rd Annual Meeting of the Association for Computational Linguistics (ACL) <\/em>. 2015.
Paper<\/a>Poster<\/a>Project<\/a><\/p>\n<\/div>\n\n\n\n

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Yezhou Yang, Yi Li, Cornelia Ferm\u00fcller, Yiannis Aloimonos. Robot Learning Manipulation Action Plans by “Watching” Unconstrained Videos From the World Wide Web. the Twenty-Ninth AAAI Conference on Artificial Intelligence <\/em>. 2015.
Abstract will appear at the Autonomously Learning Robots workshop at NIPS Conference<\/em>. 2014.Paper<\/a>Poster<\/a>Baxter Demo<\/a><\/p>\n<\/div>\n\n\n\n

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Somak Aditya, Yezhou Yang, Chitta Baral, Cornelia Ferm\u00fcller, Yiannis Aloimonos. Visual common-sense for scene understanding using perception, semantic parsing and reasoning. Common-sense 2015, AAAI 2015 Spring Symposium <\/em>.Paper<\/a>Talk<\/a><\/p>\n<\/div>\n\n\n\n

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Yezhou Yang, Anupam Guha, Cornelia Ferm\u00fcller, Yiannis Aloimonos. A Cognitive System for Understanding Human Manipulation Actions. Advances in Cognitive Systems <\/em>. (ISSN 2324-8416) 2014.
Yezhou Yang, Cornelia Ferm\u00fcller, Yiannis Aloimonos. Interpreting Manipulation Actions: a Cognitive Approach. Vision Meets Cognition Workshop, CVPR<\/em>. 2014.Paper<\/a>Poster<\/a><\/p>\n<\/div>\n\n\n\n

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Yezhou Yang, Ching L. Teo, Hal Daum\u00e9 III and Yiannis Aloimonos. Corpus-Guided Sentence Generation of Natural Images. Conference on Empirical Methods in Natural Language Processing, EMNLP<\/em>. 2011.Paper<\/a>Slides<\/a>Results<\/a><\/p>\n<\/div>\n\n\n\n

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Ching L. Teo, Yezhou Yang, Hal Daum\u00e9 III, Cornelia Ferm\u00fcller and Yiannis Aloimonos. A Corpus-Guided Framework for Robotic Visual Perception. AAAI Workshop on Language-Action Tools for Cognitive Artificial Agents<\/em>. 2011.Paper<\/a>Slides<\/a>Dataset<\/a><\/p>\n<\/div>\n\n\n\n

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Chengxi Ye, Chen Zhao, Yezhou Yang, Cornelia Fermuller and Yiannis Aloimonos. LightNet: A Versatile, Standalone Matlab-based Environment for Deep Learning. The Open Source Software Competition, ACMMM<\/em>. 2016.Paper<\/a>Slides<\/a>Github<\/a><\/p>\n<\/div>\n\n\n\n

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Ching L. Teo, Yezhou Yang, Cornelia Ferm\u00fcller, Yiannis Aloimonos. Synergistic Methods for using Language in Robotics. Performance Metrics for Intelligent Systems Workshop, PerMIS<\/em>. 2012.Paper<\/a>Slides<\/a>Dataset<\/a><\/p>\n<\/div>\n\n\n\n

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Yezhou Yang, Mingli Song, J. Bu, C. Chen, C. Jin. Color to Gray: Attention Preservation. The 4th Pacific-Rim Symposium on Image and Video Technology, PSIVT<\/em>. 2010.Paper<\/a><\/p>\n<\/div>\n\n\n\n

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Yezhou Yang, Mingli Song, N. Li, J. Bu, C. Chen; Visual attention analysis by pseudo gravitational field. ACM International Conference on Multimedia, ACMMM<\/em>. 2009.Paper<\/a><\/p>\n<\/div>\n\n\n\n

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