AI Rewind 2018: Trends in Computer Vision with Siddha Ganju
EPISODE 218
|
JANUARY
7,
2019
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About this Episode
In the final episode of our AI Rewind series, we're excited to have Siddha Ganju back on the show.
Siddha, who is now an autonomous vehicles solutions architect at Nvidia shares her thoughts on trends in Computer Vision in 2018 and beyond. We cover her favorite CV papers of the year in areas such as neural architecture search, learning from simulation, application of CV to augmented reality, and more, as well as a bevy of tools and open source projects.
About the Guest
Siddha Ganju
NVIDIA
Connect with Siddha
Resources
- TWIML Talk #95 - Embedded Deep Learning at Deep Vision with Siddha Ganju
- Paper: Learning Transferable Architectures for Scalable Image Recognition
- Paper: Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization
- Paper: Soccer on Your Tabletop
- Paper: Learning to Count Objects in Natural Images for Visual Question Answering
- Paper: Bilinear Attention Networks
- Paper: Women also Snowboard: Overcoming Bias in Captioning Models
- Paper: WESPE: Weakly Supervised Photo Enhancer for Digital Cameras
- Paper: Efficient Interactive Annotation of Segmentation Datasets with Polygon-RNN++
- Paper: Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation
- Paper: Who Let The Dogs Out? Modeling Dog Behavior From Visual Data
- Paper: MMLSpark: Unifying Machine Learning Ecosystems at Massive Scales - Blog
- AWS DeepRacer
- Digital Divide Data
- iMerit
- Gamification for Word Sense Labeling
- Active Learning Approaches for Labeling Text
- Weights and Biases
- CometML
- NVIDIA Rapids
- Onnx.ai
- Lab of OZ - Browse Hands Free
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