Schmid, Cordelia

Episodic Transformer for Vision-and-Language Navigation

Pashevich, A., Schmid, C., & Sun, C. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Multimodal Machine Learning ApplicationsRobot Manipulation and Learning

Cited by 135

Event Retrieval in Large Video Collections with Circulant Temporal Encoding

Revaud, J., Douze, M., Schmid, C., & Jegou, H. (2013) · 2013 IEEE Conference on Computer Vision and Pattern Recognition

Advanced Image and Video Retrieval TechniquesVideo Analysis and Summarization

Cited by 133

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Comanici, G., Bieber, E., Schaekermann, M., Pasupat, I., Sachdeva, N., Dhillon, I., Blistein, M., Ram, O., Zhang, D., Rosen, E., et al. (2025) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 69

Spreading vectors for similarity search

Sablayrolles, A., Douze, M., Schmid, C., & Jégou, H. (2018) · arXiv

Advanced Image and Video Retrieval TechniquesAdvanced Clustering Algorithms Research

Cited by 66

Computer Vision – ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part IV

Ferrari, V., Fisher, B., Schmid, C., & Trucco, E. (2020) · Lecture Notes in Computer Science

Advanced Neural Network ApplicationsAdvanced Vision and Imaging

Cited by 66

Compact Video Description for Copy Detection with Precise Temporal Alignment

Douze, M., Jégou, H., Schmid, C., & Pérez, P. (2010) · Lecture Notes in Computer Science

Video Analysis and SummarizationAdvanced Image and Video Retrieval Techniques

Cited by 53

Computer Vision – ECCV 2012: 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part VI

Fitzgibbon, A., Schmid, C., Sato, Y., Perona, P., & Lazebnik, S. (2012) · Lecture Notes in Computer Science

Advanced Vision and ImagingAdvanced Neural Network Applications

Cited by 38

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

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

Speech2Action: Cross-Modal Supervision for Action Recognition

Nagrani, A., Sun, C., Ross, D., Sukthankar, R., Schmid, C., & Zisserman, A. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Human Pose and Action RecognitionMultimodal Machine Learning Applications

Cited by 12

Computer Vision – ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XXV

Ferrari, V., Fisher, B., Schmid, C., & Trucco, E. (2020) · Lecture Notes in Computer Science

Advanced Neural Network ApplicationsAdvanced Vision and Imaging

Cited by 12