Chen, Shizhe

Multimodal Multi-task Learning for Dimensional and Continuous Emotion Recognition

Chen, S., Jin, Q., Zhao, J., & Wang, S. (2017) · Proceedings of the 7th Annual Workshop on Audio/Visual Emotion Challenge

Emotion and Mood RecognitionSentiment Analysis and Opinion Mining

Cited by 147

Airbert: In-domain Pretraining for Vision-and-Language Navigation

Guhur, P.-L., Tapaswi, M., Chen, S., Laptev, I., & Schmid, C. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Multimodal Machine Learning ApplicationsReinforcement Learning in Robotics

Cited by 139

Multi-modal Multi-cultural Dimensional Continues Emotion Recognition in Dyadic Interactions

Zhao, J., Li, R., Chen, S., & Jin, Q. (2018) · Proceedings of the 2018 on Audio/Visual Emotion Challenge and Workshop

Emotion and Mood RecognitionSentiment Analysis and Opinion Mining

Cited by 42

Learning from Unlabeled 3D Environments for Vision-and-Language Navigation

Chen, S., Guhur, P.-L., Tapaswi, M., Schmid, C., & Laptev, I. (2022) · Lecture Notes in Computer Science

Multimodal Machine Learning ApplicationsRobot Manipulation and Learning

Cited by 35

Instruction-driven history-aware policies for robotic manipulations

Guhur, P.-L., Chen, S., Garcia, R., Tapaswi, M., Laptev, I., & Schmid, C. (2022) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 32

Video emotion recognition in the wild based on fusion of multimodal features

Chen, S., Li, X., Jin, Q., Zhang, S., & Qin, Y. (2016) · Proceedings of the 18th ACM International Conference on Multimodal Interaction

Emotion and Mood RecognitionSpeech and Audio Processing

Cited by 20

Towards Generalizable Vision-Language Robotic Manipulation: A Benchmark and LLM-Guided 3D Policy

Garcia, R., Chen, S., & Schmid, C. (2025) · 2025 IEEE International Conference on Robotics and Automation (ICRA)

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 14