Best Paper – Honorable Mention
“Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation”
Aadarsh Sahoo, Rameswar Panda, Rogerio Feris, Kate Saenko, Abir Das
Best Paper – Honorable Mention
“PSENet: Progressive Self-Enhancement Network for Unsupervised Extreme-Light Image Enhancement”
Hue Nguyen, Diep Tran, Khoi Nguyen, Rang Nguyen
Best Student Paper
“Self-supervised Monocular Depth Estimation from Thermal Images via Adversarial Multi-spectral Adaptation”
Ukcheol Shin, Kwanyong Park, Byeong-Uk Lee, Kyunghyun Lee, In So Kweon
Best Paper - Algorithms
“Lossy Image Compression with Quantized Hierarchical VAEs”
Zhihao Duan, Ming Lu, Zhan Ma, Fengqing Zhu
Best Paper - Applications
“Exemplar Guided Deep Neural Network for Spatial Transcriptomics Analysis of Gene Expression Prediction”
Yan Yang, Md Zakir Hossain, Eric A Stone, Shafin Rahman
WACV 2023 Award Finalists
- “Lossy Image Compression with Quantized Hierarchical VAEs”, Zhihao Duan, Ming Lu, Zhan Ma, Fengqing Zhu
- “Dance Style Transfer with Cross-modal Transformer”, Wenjie Yin, Hang Yin, Kim Baraka, Danica Kragic, Mårten Björkman
- “Saliency Guided Experience Packing for Replay in Continual Learning”, Gobinda Saha, Kaushik Roy
- “Self-supervised Monocular Depth Estimation from Thermal Images via Adversarial Multi-spectral Adaptation”, Ukcheol Shin, Kwanyong Park, Byeong-Uk Lee, Kyunghyun Lee, In So Kweon
- “PSENet: Progressive Self-Enhancement Network for Unsupervised Extreme-Light Image Enhancement”, Hue Nguyen, Diep Tran, Khoi Nguyen, Rang Nguyen
- “HyperShot: Few-Shot Learning by Kernel HyperNetworks”, Marcin Sendera, Marcin Przewięźlikowski, Konrad Karanowski, Maciej Zięba, Jacek Tabor, Przemysław Spurek
- “FLAVR: Flow-Agnostic Video Representations for Fast Frame Interpolation”, Tarun Kalluri, Deepak Pathak, Manmohan Chandraker, Du Tran
- “Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation”, Aadarsh Sahoo, Rameswar Panda, Rogerio Feris, Kate Saenko, Abir Das
- “Probabilistic Volumetric Fusion for Dense Monocular SLAM”, Antoni Rosinol, John J. Leonard, Luca Carlone
- “Self-Attention Message Passing for Contrastive Few-Shot Learning”, Ojas Kishorkumar Shirekar, Anuj Singh, Hadi Jamali-Rad
- “Exemplar Guided Deep Neural Network for Spatial Transcriptomics Analysis of Gene Expression Prediction”, Yan Yang, Md Zakir Hossain, Eric A Stone, Shafin Rahman
- “X-Align: Cross-Modal Cross-View Alignment for Bird's-Eye-View Segmentation”, Shubhankar Borse, Marvin Klingner, Varun Ravi Kumar, Hong Cai, Abdulaziz Almuzairee, Senthil Yogamani, Fatih Porikli