Papers
CORL: Compositional Representation Learning for Few-Shot Classification
Ju He, Adam Kortylewski, Alan Yuille
CountNet3D: A 3D Computer Vision Approach To Infer Counts of Occluded Objects
Porter Jenkins, Kyle Armstrong, Stephen Nelson et al.
Couplformer: Rethinking Vision Transformer With Coupling Attention
Hai Lan, Xihao Wang, Hao Shen et al.
Creating a Forensic Database of Shoeprints From Online Shoe-Tread Photos
Samia Shafique, Bailey Kong, Shu Kong et al.
Cross-Domain Video Anomaly Detection Without Target Domain Adaptation
Abhishek Aich, Kuan-Chuan Peng, Amit K. Roy-Chowdhury
Cross-Identity Video Motion Retargeting With Joint Transformation and Synthesis
Haomiao Ni, Yihao Liu, Sharon X. Huang et al.
Cross-Modality Feature Fusion Network for Few-Shot 3D Point Cloud Classification
Minmin Yang, Jiajing Chen, Senem Velipasalar
Cross-Modal Semantic Enhanced Interaction for Image-Sentence Retrieval
Xuri Ge, Fuhai Chen, Songpei Xu et al.
Cross-Resolution Flow Propagation for Foveated Video Super-Resolution
Eugene Lee, Lien-Feng Hsu, Evan Chen et al.
Cross-Task Attention Mechanism for Dense Multi-Task Learning
Ivan Lopes, Tuan-Hung Vu, Raoul de Charette
Cross-View Image Sequence Geo-Localization
Xiaohan Zhang, Waqas Sultani, Safwan Wshah
CRT-6D: Fast 6D Object Pose Estimation With Cascaded Refinement Transformers
Pedro Castro, Tae-Kyun Kim
CTrGAN: Cycle Transformers GAN for Gait Transfer
Shahar Mahpod, Noam Gaash, Hay Hoffman et al.
CUDA-GHR: Controllable Unsupervised Domain Adaptation for Gaze and Head Redirection
Swati Jindal, Xin Eric Wang
Cut-Paste Consistency Learning for Semi-Supervised Lesion Segmentation
Boon Peng Yap, Beng Koon Ng
CYBORG: Blending Human Saliency Into the Loss Improves Deep Learning-Based Synthetic Face Detection
Aidan Boyd, Patrick Tinsley, Kevin W. Bowyer et al.
D2F2WOD: Learning Object Proposals for Weakly-Supervised Object Detection via Progressive Domain Adaptation
Yuting Wang, Ricardo Guerrero, Vladimir Pavlovic
Dance Style Transfer With Cross-Modal Transformer
Wenjie Yin, Hang Yin, Kim Baraka et al.
Dataset Condensation With Distribution Matching
Bo Zhao, Hakan Bilen
DBCE: A Saliency Method for Medical Deep Learning Through Anatomically-Consistent Free-Form Deformations
Joshua Peters, Léo Lebrat, Rodrigo Santa Cruz et al.
DCVNet: Dilated Cost Volume Networks for Fast Optical Flow
Huaizu Jiang, Erik Learned-Miller
DDNeRF: Depth Distribution Neural Radiance Fields
David Dadon, Ohad Fried, Yacov Hel-Or
DE-CROP: Data-Efficient Certified Robustness for Pretrained Classifiers
Gaurav Kumar Nayak, Ruchit Rawal, Anirban Chakraborty
Deep Model-Based Super-Resolution With Non-Uniform Blur
Charles Laroche, Andrés Almansa, Matias Tassano