Jon Shlens
Publications by Year
Research Areas
Advanced Neural Network Applications, Advanced Image and Video Retrieval Techniques, Multimodal Machine Learning Applications, Video Surveillance and Tracking Methods, Visual perception and processing mechanisms
Most-Cited Works
- → Rethinking the Inception Architecture for Computer Vision(2016)30,401 cited
- DeViSE: A Deep Visual-Semantic Embedding Model(2013)
- Scalability in Perception for Autonomous Driving: An Open Dataset Benchmark(2019)
- Studying Stand-Alone Self-Attention in Vision Models(2019)
- → MOFI: Learning Image Representations from Noisy Entity Annotated Images(2023)3 cited
- Revisiting ResNets: Improved Training Methodologies and Scaling Principles(2021)