Papers

4,428 papers found
Continuous Geodesic Convolutions for Learning on 3D Shapes
Zhangsihao Yang, Or Litany, Tolga Birdal et al.
2021 WACV
Controllable and Progressive Image Extrapolation
Yijun Li, Lu Jiang, Ming-Hsuan Yang
2021 WACV
Covariance-Free Partial Least Squares: An Incremental Dimensionality Reduction Method
Artur Jordao, Maiko Lie, Victor Hugo Cunha de Melo et al.
2021 WACV
2021 WACV
Cross-Domain Latent Modulation for Variational Transfer Learning
Jinyong Hou, Jeremiah D. Deng, Stephen Cranefield et al.
2021 WACV
Cross-Modality 3D Object Detection
Ming Zhu, Chao Ma, Pan Ji et al.
2021 WACV
DACS: Domain Adaptation via Cross-Domain Mixed Sampling
Wilhelm Tranheden, Viktor Olsson, Juliano Pinto et al.
2021 WACV
2021 WACV
Data-Free Knowledge Distillation for Object Detection
Akshay Chawla, Hongxu Yin, Pavlo Molchanov et al.
2021 WACV
DB-GAN: Boosting Object Recognition Under Strong Lighting Conditions
Luca Minciullo, Fabian Manhardt, Kei Yoshikawa et al.
2021 WACV
Deep Active Learning for Joint Classification & Segmentation With Weak Annotator
Soufiane Belharbi, Ismail Ben Ayed, Luke McCaffrey et al.
2021 WACV
DeepCFL: Deep Contextual Features Learning From a Single Image
Indra Deep Mastan, Shanmuganathan Raman
2021 WACV
DeepCSR: A 3D Deep Learning Approach for Cortical Surface Reconstruction
Rodrigo Santa Cruz, Leo Lebrat, Pierrick Bourgeat et al.
2021 WACV
Deep Image Compositing
He Zhang, Jianming Zhang, Federico Perazzi et al.
2021 WACV
Deep Interactive Thin Object Selection
Jun Hao Liew, Scott Cohen, Brian Price et al.
2021 WACV
DeepMark++: Real-Time Clothing Detection at the Edge
Alexey Sidnev, Alexander Krapivin, Alexey Trushkov et al.
2021 WACV
2021 WACV
Deep Template-Based Object Instance Detection
Jean-Philippe Mercier, Mathieu Garon, Philippe Giguere et al.
2021 WACV
Deep Unsupervised Anomaly Detection
Tangqing Li, Zheng Wang, Siying Liu et al.
2021 WACV
2021 WACV