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CVPR 2020 Workshop
Home
Program
Opening Talk
Keynote: Kristen Grauman
Keynote: Devi Parikh
Keynote: Adriana Kovashka
Keynote: Hui Wu
Fashion IQ Challenge
DeepFashion2 Challenge
Paper 1: MixNMatch: Multifactor Disentanglement and Encoding ...
Paper 2: Deep Metric Learning with Multi-Objective Functions
Paper 3: An Effective Pipeline for a Real-world Clothes Retrieval System
Paper 4: Hybrid Style Siamese Network
Paper 5: 3D Reconstruction of Clothes using a Human Body Model ...
Paper 6: Cross-Modal Fashion Product Search with Transformer ...
Paper 7: From Paris to Berlin: Discovering Fashion Style Influences ...
Paper 8: Domain Adaptive Hard Example Mining for Fashion Instance Retrieval
Paper 9: CP-VTON+: Clothing Shape and Texture Preserving Image-Based ...
Paper 10: Studying Empirical Color Harmony in Design
Paper 11: DeepMark++: CenterNet-based Clothing Detection
Paper 12: Main Product Detection with Graph Networks in Fashion
Paper 13: ViBE: Dressing for Diverse Body Shapes
FashionIQ
DeepFashion2
Paper Track
CVPR 2020 Workshop
Home
Program
Opening Talk
Keynote: Kristen Grauman
Keynote: Devi Parikh
Keynote: Adriana Kovashka
Keynote: Hui Wu
Fashion IQ Challenge
DeepFashion2 Challenge
Paper 1: MixNMatch: Multifactor Disentanglement and Encoding ...
Paper 2: Deep Metric Learning with Multi-Objective Functions
Paper 3: An Effective Pipeline for a Real-world Clothes Retrieval System
Paper 4: Hybrid Style Siamese Network
Paper 5: 3D Reconstruction of Clothes using a Human Body Model ...
Paper 6: Cross-Modal Fashion Product Search with Transformer ...
Paper 7: From Paris to Berlin: Discovering Fashion Style Influences ...
Paper 8: Domain Adaptive Hard Example Mining for Fashion Instance Retrieval
Paper 9: CP-VTON+: Clothing Shape and Texture Preserving Image-Based ...
Paper 10: Studying Empirical Color Harmony in Design
Paper 11: DeepMark++: CenterNet-based Clothing Detection
Paper 12: Main Product Detection with Graph Networks in Fashion
Paper 13: ViBE: Dressing for Diverse Body Shapes
FashionIQ
DeepFashion2
Paper Track
More
Home
Program
Opening Talk
Keynote: Kristen Grauman
Keynote: Devi Parikh
Keynote: Adriana Kovashka
Keynote: Hui Wu
Fashion IQ Challenge
DeepFashion2 Challenge
Paper 1: MixNMatch: Multifactor Disentanglement and Encoding ...
Paper 2: Deep Metric Learning with Multi-Objective Functions
Paper 3: An Effective Pipeline for a Real-world Clothes Retrieval System
Paper 4: Hybrid Style Siamese Network
Paper 5: 3D Reconstruction of Clothes using a Human Body Model ...
Paper 6: Cross-Modal Fashion Product Search with Transformer ...
Paper 7: From Paris to Berlin: Discovering Fashion Style Influences ...
Paper 8: Domain Adaptive Hard Example Mining for Fashion Instance Retrieval
Paper 9: CP-VTON+: Clothing Shape and Texture Preserving Image-Based ...
Paper 10: Studying Empirical Color Harmony in Design
Paper 11: DeepMark++: CenterNet-based Clothing Detection
Paper 12: Main Product Detection with Graph Networks in Fashion
Paper 13: ViBE: Dressing for Diverse Body Shapes
FashionIQ
DeepFashion2
Paper Track
Invited Talk: Hui Wu
Towards Retrieving Images by Natural Language Feedback
by Hui Wu
MIT-IBM Watson AI Lab
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