Papers
CBMV: A Coalesced Bidirectional Matching Volume for Disparity Estimation
Konstantinos Batsos, Changjiang Cai, Philippos Mordohai
Classification-Driven Dynamic Image Enhancement
Vivek Sharma, Ali Diba, Davy Neven et al.
Classifier Learning With Prior Probabilities for Facial Action Unit Recognition
Yong Zhang, Weiming Dong, Bao-Gang Hu et al.
CleanNet: Transfer Learning for Scalable Image Classifier Training With Label Noise
Kuang-Huei Lee, Xiaodong He, Lei Zhang et al.
CLEAR: Cumulative LEARning for One-Shot One-Class Image Recognition
Jedrzej Kozerawski, Matthew Turk
Clinical Skin Lesion Diagnosis Using Representations Inspired by Dermatologist Criteria
Jufeng Yang, Xiaoxiao Sun, Jie Liang et al.
CLIP-Q: Deep Network Compression Learning by In-Parallel Pruning-Quantization
Frederick Tung, Greg Mori
ClusterNet: Detecting Small Objects in Large Scenes by Exploiting Spatio-Temporal Information
Rodney LaLonde, Dong Zhang, Mubarak Shah
CNN Based Learning Using Reflection and Retinex Models for Intrinsic Image Decomposition
Anil S. Baslamisli, Hoang-An Le, Theo Gevers
CNN Driven Sparse Multi-Level B-Spline Image Registration
Pingge Jiang, James A. Shackleford
CNN in MRF: Video Object Segmentation via Inference in a CNN-Based Higher-Order Spatio-Temporal MRF
Linchao Bao, Baoyuan Wu, Wei Liu
COCO-Stuff: Thing and Stuff Classes in Context
Holger Caesar, Jasper Uijlings, Vittorio Ferrari
CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM
Michael Bloesch, Jan Czarnowski, Ronald Clark et al.
Coding Kendall's Shape Trajectories for 3D Action Recognition
Amor Ben Tanfous, Hassen Drira, Boulbaba Ben Amor
Collaborative and Adversarial Network for Unsupervised Domain Adaptation
Weichen Zhang, Wanli Ouyang, Wen Li et al.
Compare and Contrast: Learning Prominent Visual Differences
Steven Chen, Kristen Grauman
Compassionately Conservative Balanced Cuts for Image Segmentation
Nathan D. Cahill, Tyler L. Hayes, Renee T. Meinhold et al.
Compressed Video Action Recognition
Chao-Yuan Wu, Manzil Zaheer, Hexiang Hu et al.
CondenseNet: An Efficient DenseNet Using Learned Group Convolutions
Gao Huang, Shichen Liu, Laurens van der Maaten et al.
Conditional Generative Adversarial Network for Structured Domain Adaptation
Weixiang Hong, Zhenzhen Wang, Ming Yang et al.
Conditional Image-to-Image Translation
Jianxin Lin, Yingce Xia, Tao Qin et al.
Conditional Probability Models for Deep Image Compression
Fabian Mentzer, Eirikur Agustsson, Michael Tschannen et al.
Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images
Tribhuvanesh Orekondy, Mario Fritz, Bernt Schiele
Consensus Maximization for Semantic Region Correspondences
Pablo Speciale, Danda P. Paudel, Martin R. Oswald et al.