Ramanan, Deva

Microsoft COCO: Common Objects in Context

Lin, T.-Y., Maire, M., Belongie, S., Hays, J., Perona, P., Ramanan, D., Dollár, P., & Zitnick, C. L. (2014) · Lecture Notes in Computer Science

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 45,460

Object Detection with Discriminatively Trained Part-Based Models

Felzenszwalb, P. F., Girshick, R. B., McAllester, D., & Ramanan, D. (2010) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Image and Video Retrieval TechniquesAdvanced Neural Network Applications

Cited by 9,853

Microsoft COCO: Common Objects in Context

Lin, T.-Y., Maire, M., Belongie, S., Bourdev, L., Girshick, R., Hays, J., Perona, P., Ramanan, D., Zitnick, C. L., & Dollár, P. (2014) · arXiv

Human Pose and Action RecognitionAdvanced Neural Network Applications

Cited by 2,579

Argoverse: 3D Tracking and Forecasting With Rich Maps

Chang, M.-F., Lambert, J., Sangkloy, P., Singh, J., Bak, S., Hartnett, A., Wang, D., Carr, P., Lucey, S., Ramanan, D., et al. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Autonomous Vehicle Technology and SafetyRobotics and Sensor-Based Localization

Cited by 1,474

Globally-optimal greedy algorithms for tracking a variable number of objects

Pirsiavash, H., Ramanan, D., & Fowlkes, C. C. (2011) · CVPR 2011

Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety

Cited by 790

Discriminative Models for Multi-Class Object Layout

Desai, C., Ramanan, D., & Fowlkes, C. C. (2011) · International Journal of Computer Vision

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 208

Do We Need More Training Data or Better Models for Object Detection?

Zhu, X., Vondrick, C., Ramanan, D., & Fowlkes, C. (2012) · Procedings of the British Machine Vision Conference 2012

Advanced Image and Video Retrieval TechniquesAdvanced Neural Network Applications

Cited by 178

Growing a Brain: Fine-Tuning by Increasing Model Capacity

Wang, Y.-X., Ramanan, D., & Hebert, M. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 154

Online Model Distillation for Efficient Video Inference

Mullapudi, R. T., Chen, S., Zhang, K., Ramanan, D., & Fatahalian, K. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 96

Expecting the Unexpected: Training Detectors for Unusual Pedestrians with Adversarial Imposters

Huang, S., & Ramanan, D. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsGenerative Adversarial Networks and Image Synthesis

Cited by 49

Do Image Classifiers Generalize Across Time?

Shankar, V., Dave, A., Roelofs, R., Ramanan, D., Recht, B., & Schmidt, L. (2019) · arXiv

Advanced Neural Network ApplicationsAdversarial Robustness in Machine Learning

Cited by 37