Ross Girshick
Identifiers
- name variant Ross Girshick 0.60 · backfill
Papers (54)
- Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models cs.CV · 2024 · author #48
- SAM 2: Segment Anything in Images and Videos cs.CV · 2024 · author #16
- Segment Anything cs.CV · 2023 · author #12
- Masked Autoencoders Are Scalable Vision Learners cs.CV · 2021 · author #6
- Improved Baselines with Momentum Contrastive Learning cs.CV · 2020 · author #3
- Exploring Randomly Wired Neural Networks for Image Recognition cs.CV · 2019 · author #3
- Panoptic Feature Pyramid Networks cs.CV · 2019 · author #2
- Long-Term Feature Banks for Detailed Video Understanding cs.CV · 2018 · author #6
- Rethinking ImageNet Pre-training cs.CV · 2018 · author #2
- Exploring the Limits of Weakly Supervised Pretraining cs.CV · 2018 · author #2
- Low-Shot Learning from Imaginary Data cs.CV · 2018 · author #2
- Panoptic Segmentation cs.CV · 2018 · author #3
- Data Distillation: Towards Omni-Supervised Learning cs.CV · 2017 · author #3
- Learning by Asking Questions cs.CV · 2017 · author #2
- Learning to Segment Every Thing cs.CV · 2017 · author #5
- Non-local Neural Networks cs.CV · 2017 · author #2
- Focal Loss for Dense Object Detection cs.CV · 2017 · author #3
- Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour cs.CV · 2017 · author #3
- Inferring and Executing Programs for Visual Reasoning cs.CV · 2017 · author #7
- Detecting and Recognizing Human-Object Interactions cs.CV · 2017 · author #2
- Mask R-CNN cs.CV · 2017 · author #4
- CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning cs.CV · 2016 · author #6
- Learning Features by Watching Objects Move cs.CV · 2016 · author #2
- Feature Pyramid Networks for Object Detection cs.CV · 2016 · author #3
- Aggregated Residual Transformations for Deep Neural Networks cs.CV · 2016 · author #2
- Low-shot Visual Recognition by Shrinking and Hallucinating Features cs.CV · 2016 · author #2
- Visual Storytelling cs.CL · 2016 · author #7
- Deep3D: Fully Automatic 2D-to-3D Video Conversion with Deep Convolutional Neural Networks cs.CV · 2016 · author #2
- Training Region-based Object Detectors with Online Hard Example Mining cs.CV · 2016 · author #3
- Seeing through the Human Reporting Bias: Visual Classifiers from Noisy Human-Centric Labels cs.CV · 2015 · author #4
- Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks cs.CV · 2015 · author #4
- Unsupervised Deep Embedding for Clustering Analysis cs.LG · 2015 · author #2
- Reducing Overfitting in Deep Networks by Decorrelating Representations cs.LG · 2015 · author #3
- You Only Look Once: Unified, Real-Time Object Detection cs.CV · 2015 · author #3
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks cs.CV · 2015 · author #3
- Exploring Nearest Neighbor Approaches for Image Captioning cs.CV · 2015 · author #3
- Contextual Action Recognition with R*CNN cs.CV · 2015 · author #2
- Fast R-CNN cs.CV · 2015 · author #1
- Object Detection Networks on Convolutional Feature Maps cs.CV · 2015 · author #3
- Inferring 3D Object Pose in RGB-D Images cs.CV · 2015 · author #3
- Actions and Attributes from Wholes and Parts cs.CV · 2014 · author #2
- Hypercolumns for Object Segmentation and Fine-grained Localization cs.CV · 2014 · author #3
- Deformable Part Models are Convolutional Neural Networks cs.CV · 2014 · author #1
- Learning Rich Features from RGB-D Images for Object Detection and Segmentation cs.CV · 2014 · author #2
- LSDA: Large Scale Detection Through Adaptation cs.CV · 2014 · author #6
- Part-based R-CNNs for Fine-grained Category Detection cs.CV · 2014 · author #3
- Simultaneous Detection and Segmentation cs.CV · 2014 · author #3
- Analyzing the Performance of Multilayer Neural Networks for Object Recognition cs.CV · 2014 · author #2
- Caffe: Convolutional Architecture for Fast Feature Embedding cs.CV · 2014 · author #6
- R-CNNs for Pose Estimation and Action Detection cs.CV · 2014 · author #3
- Microsoft COCO: Common Objects in Context cs.CV · 2014 · author #5
- DenseNet: Implementing Efficient ConvNet Descriptor Pyramids cs.CV · 2014 · author #4
- On learning to localize objects with minimal supervision cs.CV · 2014 · author #2
- Rich feature hierarchies for accurate object detection and semantic segmentation cs.CV · 2013 · author #1
Mentions
- 1511.06335 #2 · backfill · confidence 0.70 Ross Girshick
- 1511.06068 #3 · backfill · confidence 0.70 Ross Girshick
- 1506.02640 #3 · backfill · confidence 0.70 Ross Girshick
- 1506.01497 #3 · backfill · confidence 0.70 Ross Girshick
- 1505.04467 #3 · backfill · confidence 0.70 Ross Girshick
- 1505.01197 #2 · backfill · confidence 0.70 Ross Girshick
- 1504.08083 #1 · backfill · confidence 0.70 Ross Girshick
- 1504.06066 #3 · backfill · confidence 0.70 Ross Girshick
- 1502.04652 #3 · backfill · confidence 0.70 Ross Girshick
- 1412.2604 #2 · backfill · confidence 0.70 Ross Girshick
- 1411.5752 #3 · backfill · confidence 0.70 Ross Girshick
- 1409.5403 #1 · backfill · confidence 0.70 Ross Girshick
- 1408.5093 #6 · backfill · confidence 0.70 Ross Girshick
- 1407.5736 #2 · backfill · confidence 0.70 Ross Girshick
- 1407.5035 #6 · backfill · confidence 0.70 Ross Girshick
- 1407.3867 #3 · backfill · confidence 0.70 Ross Girshick
- 1407.1808 #3 · backfill · confidence 0.70 Ross Girshick
- 1407.1610 #2 · backfill · confidence 0.70 Ross Girshick
- 1406.5212 #3 · backfill · confidence 0.70 Ross Girshick
- 1405.0312 #5 · backfill · confidence 0.70 Ross Girshick
- 1404.1869 #4 · backfill · confidence 0.70 Ross Girshick
- 1403.1024 #2 · backfill · confidence 0.70 Ross Girshick
- 1311.2524 #1 · backfill · confidence 0.70 Ross Girshick
- 2111.06377 #6 · arxiv_oai · confidence 0.70 Ross Girshick
Frequent Coauthors
- Kaiming He 19 shared papers
- Piotr Doll\'ar 16 shared papers
- Jitendra Malik 10 shared papers
- Bharath Hariharan 9 shared papers
- Trevor Darrell 9 shared papers
- C. Lawrence Zitnick 7 shared papers
- Georgia Gkioxari 6 shared papers
- Alexander Kirillov 4 shared papers
- Ali Farhadi 4 shared papers
- Jeff Donahue 4 shared papers
- Laurens van der Maaten 4 shared papers
- Pablo Arbel\'aez 4 shared papers
- Abhinav Gupta 3 shared papers
- Ishan Misra 3 shared papers
- Margaret Mitchell 3 shared papers
- Ronghang Hu 3 shared papers
- Saining Xie 3 shared papers
- Saurabh Gupta 3 shared papers
- Tsung-Yi Lin 3 shared papers
- Chao-Yuan Wu 2 shared papers