Schmid, Cordelia

Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories

Lazebnik, S., Schmid, C., & Ponce, J. (2006) · 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2 (CVPR'06)

Advanced Image and Video Retrieval TechniquesImage Retrieval and Classification Techniques

Cited by 7,916

A performance evaluation of local descriptors

Mikolajczyk, K., & Schmid, C. (2005) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Image and Video Retrieval TechniquesImage Retrieval and Classification Techniques

Cited by 6,723

Scale & Affine Invariant Interest Point Detectors

Mikolajczyk, K., & Schmid, C. (2004) · International Journal of Computer Vision

Advanced Image and Video Retrieval TechniquesImage Retrieval and Classification Techniques

Cited by 3,436

Action Recognition with Improved Trajectories

Wang, H., & Schmid, C. (2013) · 2013 IEEE International Conference on Computer Vision

Human Pose and Action RecognitionHand Gesture Recognition Systems

Cited by 3,407

Product Quantization for Nearest Neighbor Search

Jégou, H., Douze, M., & Schmid, C. (2011) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Image and Video Retrieval TechniquesImage Retrieval and Classification Techniques

Cited by 2,956

A comparison of affine region detectors

Mikolajczyk, K., Tuytelaars, T., Schmid, C., Zisserman, A., Matas, J., Schaffalitzky, F., Kadir, T., & Gool, L. V. (2005) · International Journal of Computer Vision

Advanced Image and Video Retrieval TechniquesImage Retrieval and Classification Techniques

Cited by 2,939

ViViT: A Video Vision Transformer

Arnab, A., Dehghani, M., Heigold, G., Sun, C., Lucic, M., & Schmid, C. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Human Pose and Action RecognitionAdvanced Neural Network Applications

Cited by 2,767

Hamming Embedding and Weak Geometric Consistency for Large Scale Image Search

Jegou, H., Douze, M., & Schmid, C. (2008) · Lecture Notes in Computer Science

Advanced Image and Video Retrieval TechniquesImage Retrieval and Classification Techniques

Cited by 1,901

Dense Trajectories and Motion Boundary Descriptors for Action Recognition

Wang, H., Kläser, A., Schmid, C., & Liu, C.-L. (2013) · International Journal of Computer Vision

Human Pose and Action RecognitionHand Gesture Recognition Systems

Cited by 1,669

Aggregating Local Image Descriptors into Compact Codes

Jegou, H., Perronnin, F., Douze, M., Sanchez, J., Perez, P., & Schmid, C. (2012) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Image and Video Retrieval TechniquesImage Retrieval and Classification Techniques

Cited by 1,503

An Affine Invariant Interest Point Detector

Mikolajczyk, K., & Schmid, C. (2002) · Lecture Notes in Computer Science

Advanced Image and Video Retrieval TechniquesImage Retrieval and Classification Techniques

Cited by 1,325

End-to-End Incremental Learning

Castro, F. M., Marín-Jiménez, M. J., Guil, N., Schmid, C., & Alahari, K. (2018) · Lecture Notes in Computer Science

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 1,184

Indexing based on scale invariant interest points

Mikolajczyk, K., & Schmid, C. (2002) · Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001

Advanced Image and Video Retrieval TechniquesImage Retrieval and Classification Techniques

Cited by 1,101

A performance evaluation of local descriptors

Mikolajczyk, K., & Schmid, C. (2003) · 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings.

Advanced Image and Video Retrieval TechniquesImage Retrieval and Classification Techniques

Cited by 955

What makes for good views for contrastive learning

Tian, Y., Sun, C., Poole, B., Krishnan, D., Schmid, C., & Isola, P. (2020) · arXiv

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 773

The 2005 PASCAL Visual Object Classes Challenge

Everingham, M., Zisserman, A., Williams, C. K. I., Van Gool, L., Allan, M., Bishop, C. M., Chapelle, O., Dalal, N., Deselaers, T., Dorkó, G., et al. (2006) · Lecture Notes in Computer Science

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 765

P-CNN: Pose-Based CNN Features for Action Recognition

Cheron, G., Laptev, I., & Schmid, C. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV)

Human Pose and Action RecognitionHand Gesture Recognition Systems

Cited by 633

Multi-modal Transformer for Video Retrieval

Gabeur, V., Sun, C., Alahari, K., & Schmid, C. (2020) · Lecture Notes in Computer Science

Multimodal Machine Learning ApplicationsVideo Analysis and Summarization

Cited by 615

Incremental Learning of Object Detectors without Catastrophic Forgetting

Shmelkov, K., Schmid, C., & Alahari, K. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 559

Weakly Supervised Object Localization with Multi-Fold Multiple Instance Learning

Cinbis, R. G., Verbeek, J., & Schmid, C. (2017) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 420

Attention Bottlenecks for Multimodal Fusion

Nagrani, A., Yang, S., Arnab, A., Jansen, A., Schmid, C., & Sun, C. (2021) · arXiv

Multimodal Machine Learning ApplicationsHuman Pose and Action Recognition

Cited by 400

High-dimensional data clustering

Bouveyron, C., Girard, S., & Schmid, C. (2007) · Computational Statistics & Data Analysis

Advanced Clustering Algorithms ResearchBayesian Methods and Mixture Models

Cited by 382

Multiview Transformers for Video Recognition

Yan, S., Xiong, X., Arnab, A., Lu, Z., Zhang, M., Sun, C., & Schmid, C. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Human Pose and Action RecognitionMultimodal Machine Learning Applications

Cited by 312

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