Research and Publication
Publications
Gokhale, Tejas, Pratyay Banerjee, Chitta Baral, and Yezhou Yang. “VQA-LOL: Visual question answering under the lens of logic.” In European Conference on Computer Vision (2020).
Wang, Zhe, Zhiyuan Fang, Jun Wang, and Yezhou Yang. “ViTAA: Visual-Textual Attributes Alignment in Person Search by Natural Language.” In European Conference on Computer Vision (2020).
Bajestani, Mohammad Farhadi, and Yezhou Yang. “Tkd: Temporal knowledge distillation for active perception.” In The IEEE Winter Conference on Applications of Computer Vision, pp. 953-962. 2020.
Gunasekar, Kausic, Qiang Qiu, and Yezhou Yang. “Low to High Dimensional Modality Hallucination Using Aggregated Fields of View.” IEEE Robotics and Automation Letters 5, no. 2 (2020): 1983-1990.
Ye, Xin, Zhe Lin, Joon-Young Lee, Jianming Zhang, Shibin Zheng, and Yezhou Yang. “Gaple: Generalizable approaching policy learning for robotic object searching in indoor environment.” IEEE Robotics and Automation Letters 4, no. 4 (2019): 4003-4010.
Ye, Xin, Zhe Lin, and Yezhou Yang. “Robot learning of manipulation activities with overall planning through precedence graph.” Robotics and Autonomous Systems 116 (2019): 126-135.
Fang, Zhiyuan, Shu Kong, Charless Fowlkes, and Yezhou Yang. “Modularized Textual Grounding for Counterfactual Resilience.” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) (2019).
Aditya, Somak, Yezhou Yang, and Chitta Baral. “Integrating knowledge and reasoning in image understanding.” In Proceedings of the 28th International Joint Conference on Artificial Intelligence, pp. 6252-6259. AAAI Press, 2019.
Farhadi, Mohammad, Mehdi Ghasemi, and Yezhou Yang. “A novel design of adaptive and hierarchical convolutional neural networks using partial reconfiguration on fpga.” In 2019 IEEE High Performance Extreme Computing Conference (HPEC), pp. 1-7. IEEE, 2019.
Ren, Yi, Steven Elliott, Yiwei Wang, Yezhou Yang, and Wenlong Zhang. “How Shall I Drive? Interaction Modeling and Motion Planning towards Empathetic and Socially-Graceful Driving.” IEEE International Conference on Robotics and Automation (ICRA) (2019).
Aditya, Somak, Rudra Saha, Yezhou Yang, and Chitta Baral. “Spatial Knowledge Distillation to aid Visual Reasoning.” In 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 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, 2018
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
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)
Izadyyazdanabadi, Mohammadhassan, Evgenii Belykh, Michael Mooney, Jennifer Eschbacher, Peter Nakaji, Yezhou Yang, and Mark Preul. ”Prospects for Theranostics in Neurosurgical Imaging: Empowering Confocal Laser Endomicroscopy Diagnostics via Deep Learning.” 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), 2018
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
Zunlei Feng, Zhenyun Yu, Yezhou Yang, Yongcheng Jing, Junxiao Jiang, and Mingli Song. ”Interpretable Partitioned Embedding for Customized Multi-item Fashion Outfit Composition.” 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.
Somak Aditya, Yezhou Yang, Chitta Baral, Yiannis Aloimonos, Cornelia Fermüller. Image Understanding using Vision and Reasoning through Scene Description Graph. Computer Vision and Image Understanding (CVIU) Dec 2017 . 2018.
Paper Poster Project
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). 2018.
Paper Poster Project
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). 2017.
Paper Poster Project
Xin Ye*, Yiwei Wang*, Yezhou Yang and Wenlong Zhang. Collision-free Trajectory Planning in Human-robot Interaction through Hand Movement Prediction from Vision. The 2017 IEEE-RAS International Conference on Humanoid Robots (HUMANOIDS). 2017.
Paper Poster ProjectGokhale, Tejas, Pratyay Banerjee, Chitta Baral, and Yezhou Yang. “VQA-LOL: Visual question answering under the lens of logic.” In European Conference on Computer Vision (2020).
Wang, Zhe, Zhiyuan Fang, Jun Wang, and Yezhou Yang. “ViTAA: Visual-Textual Attributes Alignment in Person Search by Natural Language.” In European Conference on Computer Vision (2020).Bajestani, Mohammad Farhadi, and Yezhou Yang. “Tkd: Temporal knowledge distillation for active perception.” In The IEEE Winter Conference on Applications of Computer Vision, pp. 953-962. 2020.Gunasekar, Kausic, Qiang Qiu, and Yezhou Yang. “Low to High Dimensional Modality Hallucination Using Aggregated Fields of View.” IEEE Robotics and Automation Letters 5, no. 2 (2020): 1983-1990.Ye, Xin, Zhe Lin, Joon-Young Lee, Jianming Zhang, Shibin Zheng, and Yezhou Yang. “Gaple: Generalizable approaching policy learning for robotic object searching in indoor environment.” IEEE Robotics and Automation Letters 4, no. 4 (2019): 4003-4010.Ye, Xin, Zhe Lin, and Yezhou Yang. “Robot learning of manipulation activities with overall planning through precedence graph.” Robotics and Autonomous Systems 116 (2019): 126-135.Fang, Zhiyuan, Shu Kong, Charless Fowlkes, and Yezhou Yang. “Modularized Textual Grounding for Counterfactual Resilience.” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) (2019).Aditya, Somak, Yezhou Yang, and Chitta Baral. “Integrating knowledge and reasoning in image understanding.” In Proceedings of the 28th International Joint Conference on Artificial Intelligence, pp. 6252-6259. AAAI Press, 2019.Farhadi, Mohammad, Mehdi Ghasemi, and Yezhou Yang. “A novel design of adaptive and hierarchical convolutional neural networks using partial reconfiguration on fpga.” In 2019 IEEE High Performance Extreme Computing Conference (HPEC), pp. 1-7. IEEE, 2019.Ren, Yi, Steven Elliott, Yiwei Wang, Yezhou Yang, and Wenlong Zhang. “How Shall I Drive? Interaction Modeling and Motion Planning towards Empathetic and Socially-Graceful Driving.” IEEE International Conference on Robotics and Automation (ICRA) (2019).Aditya, Somak, Rudra Saha, Yezhou Yang, and Chitta Baral. “Spatial Knowledge Distillation to aid Visual Reasoning.” In 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 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. ”Prospects for Theranostics in Neurosurgical Imaging: Empowering Confocal Laser Endomicroscopy Diagnostics via Deep Learning.” 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. ”Interpretable Partitioned Embedding for Customized Multi-item Fashion Outfit Composition.” 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.
Somak Aditya, Yezhou Yang, Chitta Baral, Yiannis Aloimonos, Cornelia Fermüller. Image Understanding using Vision and Reasoning through Scene Description Graph. Computer Vision and Image Understanding (CVIU) Dec 2017 . 2018.Paper Poster Project
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). 2018.Paper Poster Project
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). 2017.Paper Poster Project
Xin Ye*, Yiwei Wang*, Yezhou Yang and Wenlong Zhang. Collision-free Trajectory Planning in Human-robot Interaction through Hand Movement Prediction from Vision. The 2017 IEEE-RAS International Conference on Humanoid Robots (HUMANOIDS). 2017.Paper Poster Project
