Papers
Conditional DETR for Fast Training Convergence
Depu Meng, Xiaokang Chen, Zejia Fan et al.
Conditional Diffusion for Interactive Segmentation
Xi Chen, Zhiyan Zhao, Feiwu Yu et al.
Conditional Variational Capsule Network for Open Set Recognition
Yunrui Guo, Guglielmo Camporese, Wenjing Yang et al.
CondLaneNet: A Top-To-Down Lane Detection Framework Based on Conditional Convolution
Lizhe Liu, Xiaohao Chen, Siyu Zhu et al.
Confidence Calibration for Domain Generalization Under Covariate Shift
Yunye Gong, Xiao Lin, Yi Yao et al.
Conformer: Local Features Coupling Global Representations for Visual Recognition
Zhiliang Peng, Wei Huang, Shanzhi Gu et al.
Consistency-Aware Graph Network for Human Interaction Understanding
Zhenhua Wang, Jiajun Meng, Dongyan Guo et al.
Contact-Aware Retargeting of Skinned Motion
Ruben Villegas, Duygu Ceylan, Aaron Hertzmann et al.
Context-Aware Scene Graph Generation With Seq2Seq Transformers
Yichao Lu, Himanshu Rai, Jason Chang et al.
Context Decoupling Augmentation for Weakly Supervised Semantic Segmentation
Yukun Su, Ruizhou Sun, Guosheng Lin et al.
Context Reasoning Attention Network for Image Super-Resolution
Yulun Zhang, Donglai Wei, Can Qin et al.
Context-Sensitive Temporal Feature Learning for Gait Recognition
Xiaohu Huang, Duowang Zhu, Hao Wang et al.
Contextually Plausible and Diverse 3D Human Motion Prediction
Sadegh Aliakbarian, Fatemeh Saleh, Lars Petersson et al.
Continual Learning for Image-Based Camera Localization
Shuzhe Wang, Zakaria Laskar, Iaroslav Melekhov et al.
Continual Learning on Noisy Data Streams via Self-Purified Replay
Chris Dongjoo Kim, Jinseo Jeong, Sangwoo Moon et al.
Continual Neural Mapping: Learning an Implicit Scene Representation From Sequential Observations
Zike Yan, Yuxin Tian, Xuesong Shi et al.
Continual Prototype Evolution: Learning Online From Non-Stationary Data Streams
Matthias De Lange, Tinne Tuytelaars
Continuous Copy-Paste for One-Stage Multi-Object Tracking and Segmentation
Zhenbo Xu, Ajin Meng, Zhenbo Shi et al.
Contrast and Classify: Training Robust VQA Models
Yash Kant, Abhinav Moudgil, Dhruv Batra et al.
Contrast and Order Representations for Video Self-Supervised Learning
Kai Hu, Jie Shao, Yuan Liu et al.
Contrasting Contrastive Self-Supervised Representation Learning Pipelines
Klemen Kotar, Gabriel Ilharco, Ludwig Schmidt et al.
Contrastive Attention Maps for Self-Supervised Co-Localization
Minsong Ki, Youngjung Uh, Junsuk Choe et al.
Contrastive Coding for Active Learning Under Class Distribution Mismatch
Pan Du, Suyun Zhao, Hui Chen et al.
Contrastive Learning for Label Efficient Semantic Segmentation
Xiangyun Zhao, Raviteja Vemulapalli, Philip Andrew Mansfield et al.