Papers
Contextual Outpainting With Object-Level Contrastive Learning
Jiacheng Li, Chang Chen, Zhiwei Xiong
Contextual Similarity Distillation for Asymmetric Image Retrieval
Hui Wu, Min Wang, Wengang Zhou et al.
ContIG: Self-Supervised Multimodal Contrastive Learning for Medical Imaging With Genetics
Aiham Taleb, Matthias Kirchler, Remo Monti et al.
Continual Learning for Visual Search With Backward Consistent Feature Embedding
Timmy S. T. Wan, Jun-Cheng Chen, Tzer-Yi Wu et al.
Continual Learning With Lifelong Vision Transformer
Zhen Wang, Liu Liu, Yiqun Duan et al.
Continual Object Detection via Prototypical Task Correlation Guided Gating Mechanism
Binbin Yang, Xinchi Deng, Han Shi et al.
Continual Predictive Learning From Videos
Geng Chen, Wendong Zhang, Han Lu et al.
Continual Stereo Matching of Continuous Driving Scenes With Growing Architecture
Chenghao Zhang, Kun Tian, Bin Fan et al.
Continual Test-Time Domain Adaptation
Qin Wang, Olga Fink, Luc Van Gool et al.
Continuous Scene Representations for Embodied AI
Samir Yitzhak Gadre, Kiana Ehsani, Shuran Song et al.
Contour-Hugging Heatmaps for Landmark Detection
James McCouat, Irina Voiculescu
Contrastive Boundary Learning for Point Cloud Segmentation
Liyao Tang, Yibing Zhan, Zhe Chen et al.
Contrastive Conditional Neural Processes
Zesheng Ye, Lina Yao
Contrastive Dual Gating: Learning Sparse Features With Contrastive Learning
Jian Meng, Li Yang, Jinwoo Shin et al.
Contrastive Learning for Unsupervised Video Highlight Detection
Taivanbat Badamdorj, Mrigank Rochan, Yang Wang et al.
Contrastive Regression for Domain Adaptation on Gaze Estimation
Yaoming Wang, Yangzhou Jiang, Jin Li et al.
Contrastive Test-Time Adaptation
Dian Chen, Dequan Wang, Trevor Darrell et al.
ContrastMask: Contrastive Learning To Segment Every Thing
Xuehui Wang, Kai Zhao, Ruixin Zhang et al.
Controllable Animation of Fluid Elements in Still Images
Aniruddha Mahapatra, Kuldeep Kulkarni
Controllable Dynamic Multi-Task Architectures
Dripta S. Raychaudhuri, Yumin Suh, Samuel Schulter et al.
Convolution of Convolution: Let Kernels Spatially Collaborate
Rongzhen Zhao, Jian Li, Zhenzhi Wu
Convolutions for Spatial Interaction Modeling
Zhaoen Su, Chao Wang, David Bradley et al.
Coopernaut: End-to-End Driving With Cooperative Perception for Networked Vehicles
Jiaxun Cui, Hang Qiu, Dian Chen et al.
CoordGAN: Self-Supervised Dense Correspondences Emerge From GANs
Jiteng Mu, Shalini De Mello, Zhiding Yu et al.