Yordan Hristov

23 papers A* 1A 2Misc 3Journal 15Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Seamless Interaction: Dyadic Audiovisual Motion Modeling and Large-Scale Dataset. CoRR Vasu Agrawal, Akinniyi Akinyemi, Kathryn Alvero, Morteza Behrooz, Julia Buffalini, Fabio Maria Carlucci, Joy Chen, Junming Chen, Zhang Chen, Shiyang Cheng, Praveen Chowdary, Joe Chuang, Antony D'Avirro, Jon Daly, Ning Dong, Mark Duppenthaler, Cynthia Gao, Jeffrey M. Girard, Martin Gleize, Sahir Gomez, Hongyu Gong, Srivathsan Govindarajan, Brandon Han, Sen He, Denise Hernandez, Yordan Hristov, Rongjie Huang, Hirofumi Inaguma, Somya Jain, Raj Janardhan, Qingyao Jia, Christopher Klaiber, Dejan Kovachev, Moneish Kumar, Hang Li, Yilei Li, Pavel Litvin, Wei Liu, Guangyao Ma, Jing Ma, Martin Ma, Xutai Ma, Lucas Mantovani, Sagar Miglani, Sreyas Mohan, Louis-Philippe Morency, Evonne Ng, Kam-Woh Ng, Tu Anh Nguyen, Amia Oberai, Benjamin N. Peloquin, Juan Pino, Jovan Popovic, Omid Poursaeed, Fabian Prada, Alice Rakotoarison, Rakesh Ranjan, Alexander Richard, Christophe Ropers, Safiyyah Saleem, Vasu Sharma, Alex Shcherbyna, Jia Shen, Jie Shen, Anastasis Stathopoulos, Anna Y. Sun, Paden Tomasello, Tuan Tran, Arina Turkatenko, Bo Wan, Chao Wang, Jeff Wang, Mary Williamson, Carleigh Wood, Tao Xiang, Yilin Yang, Julien Yao, Chen Zhang, Jiemin Zhang, Xinyue Zhang, Jason Zheng, Pavlo Zhyzheria, Jan Zikes, Michael Zollhöfer
2023	A	`conf`	FAN-Trans: Online Knowledge Distillation for Facial Action Unit Detection. WACV Jing Yang, Jie Shen, Yiming Lin, Yordan Hristov, Maja Pantic
2023	J	`jnl`	Toward Robust Facial Action Units' Detection. Proc. IEEE Jing Yang, Yordan Hristov, Jie Shen, Yiming Lin, Maja Pantic
2022	J	`jnl`	FAN-Trans: Online Knowledge Distillation for Facial Action Unit Detection. CoRR Jing Yang, Jie Shen, Yiming Lin, Yordan Hristov, Maja Pantic
2021	J	`jnl`	Automatic Synthesis of Experiment Designs from Probabilistic Environment Specifications. CoRR Craig Innes, Yordan Hristov, Georgios Kamaras, Subramanian Ramamoorthy
2021	—	`—`	Interactive robot learning with human alignment. Yordan Hristov
2021	A*	`conf`	Learning from Demonstration with Weakly Supervised Disentanglement. ICLR Yordan Hristov, Subramanian Ramamoorthy
2020	J	`jnl`	Composing Diverse Policies for Temporally Extended Tasks. IEEE Robotics Autom. Lett. Daniel Angelov, Yordan Hristov, Michael Burke, Subramanian Ramamoorthy
2020	J	`jnl`	From Demonstrations to Task-Space Specifications: Using Causal Analysis to Extract Rule Parameterization from Demonstrations. CoRR Daniel Angelov, Yordan Hristov, Subramanian Ramamoorthy
2020	J	`jnl`	From demonstrations to task-space specifications. Using causal analysis to extract rule parameterization from demonstrations. Auton. Agents Multi Agent Syst. Daniel Angelov, Yordan Hristov, Subramanian Ramamoorthy
2020	J	`jnl`	Learning from Demonstration with Weakly Supervised Disentanglement. CoRR Yordan Hristov, Subramanian Ramamoorthy
2019	J	`jnl`	Composing Diverse Policies for Temporally Extended Tasks. CoRR Daniel Angelov, Yordan Hristov, Michael Burke, Subramanian Ramamoorthy
2019	Misc	`conf`	Disentangled Relational Representations for Explaining and Learning from Demonstration. CoRL Yordan Hristov, Daniel Angelov, Michael Burke, Alex Lascarides, Subramanian Ramamoorthy
2019	J	`jnl`	Disentangled Relational Representations for Explaining and Learning from Demonstration. CoRR Yordan Hristov, Daniel Angelov, Michael Burke, Alex Lascarides, Subramanian Ramamoorthy
2019	J	`jnl`	DynoPlan: Combining Motion Planning and Deep Neural Network based Controllers for Safe HRL. CoRR Daniel Angelov, Yordan Hristov, Subramanian Ramamoorthy
2019	Misc	`conf`	Hybrid system identification using switching density networks. CoRL Michael Burke, Yordan Hristov, Subramanian Ramamoorthy
2019	J	`jnl`	Hybrid system identification using switching density networks. CoRR Michael Burke, Yordan Hristov, Subramanian Ramamoorthy
2019	A	`conf`	Using Causal Analysis to Learn Specifications from Task Demonstrations. AAMAS Daniel Angelov, Yordan Hristov, Subramanian Ramamoorthy
2019	J	`jnl`	Using Causal Analysis to Learn Specifications from Task Demonstrations. CoRR Daniel Angelov, Yordan Hristov, Subramanian Ramamoorthy
2018	Misc	`conf`	Interpretable Latent Spaces for Learning from Demonstration. CoRL Yordan Hristov, Alex Lascarides, Subramanian Ramamoorthy
2018	J	`jnl`	Interpretable Latent Spaces for Learning from Demonstration. CoRR Yordan Hristov, Alex Lascarides, Subramanian Ramamoorthy
2017	—	`conf`	Grounding Symbols in Multi-Modal Instructions. RoboNLP@ACL Yordan Hristov, Svetlin Penkov, Alex Lascarides, Subramanian Ramamoorthy
2017	J	`jnl`	Grounding Symbols in Multi-Modal Instructions. CoRR Yordan Hristov, Svetlin Penkov, Alex Lascarides, Subramanian Ramamoorthy