Papers
CoKe: Contrastive Learning for Robust Keypoint Detection
Yutong Bai, Angtian Wang, Adam Kortylewski et al.
Collaborative Multi-Teacher Knowledge Distillation for Learning Low Bit-Width Deep Neural Networks
Cuong Pham, Tuan Hoang, Thanh-Toan Do
Color Recommendation for Vector Graphic Documents Based on Multi-Palette Representation
Qianru Qiu, Xueting Wang, Mayu Otani et al.
Compact and Optimal Deep Learning With Recurrent Parameter Generators
Jiayun Wang, Yubei Chen, Stella X. Yu et al.
Complementary Bi-Directional Feature Compression for Indoor 360deg Semantic Segmentation With Self-Distillation
Zishuo Zheng, Chunyu Lin, Lang Nie et al.
Complementary Cues From Audio Help Combat Noise in Weakly-Supervised Object Detection
Cagri Gungor, Adriana Kovashka
Composite Learning for Robust and Effective Dense Predictions
Menelaos Kanakis, Thomas E. Huang, David Brüggemann et al.
Composite Relationship Fields With Transformers for Scene Graph Generation
George Adaimi, David Mizrahi, Alexandre Alahi
Compressing Explicit Voxel Grid Representations: Fast NeRFs Become Also Small
Chenxi Lola Deng, Enzo Tartaglione
Computer Vision for International Border Legibility
Trevor Ortega, Thomas Nelson, Skyler Crane et al.
Computer Vision for Ocean Eddy Detection in Infrared Imagery
Evangelos Moschos, Alisa Kugusheva, Paul Coste et al.
Computer Vision to the Rescue: Infant Postural Symmetry Estimation From Incongruent Annotations
Xiaofei Huang, Michael Wan, Lingfei Luan et al.
Concept Correlation and Its Effects on Concept-Based Models
Lena Heidemann, Maureen Monnet, Karsten Roscher
ConfMix: Unsupervised Domain Adaptation for Object Detection via Confidence-Based Mixing
Giulio Mattolin, Luca Zanella, Elisa Ricci et al.
CoNMix for Source-Free Single and Multi-Target Domain Adaptation
Vikash Kumar, Rohit Lal, Himanshu Patil et al.
Content-Based Music-Image Retrieval Using Self- and Cross-Modal Feature Embedding Memory
Takayuki Nakatsuka, Masahiro Hamasaki, Masataka Goto
Context-Empowered Visual Attention Prediction in Pedestrian Scenarios
Igor Vozniak, Philipp Müller, Lorena Hell et al.
Continual Learning With Dependency Preserving Hypernetworks
Dupati Srikar Chandra, Sakshi Varshney, P. K. Srijith et al.
Contrastive Knowledge-Augmented Meta-Learning for Few-Shot Classification
Rakshith Subramanyam, Mark Heimann, T.S. Jayram et al.
Contrastive Learning of Semantic Concepts for Open-Set Cross-Domain Retrieval
Aishwarya Agarwal, Srikrishna Karanam, Balaji Vasan Srinivasan et al.
Contrastive Losses Are Natural Criteria for Unsupervised Video Summarization
Zongshang Pang, Yuta Nakashima, Mayu Otani et al.
Controllable 3D Generative Adversarial Face Model via Disentangling Shape and Appearance
Fariborz Taherkhani, Aashish Rai, Quankai Gao et al.
Control-NeRF: Editable Feature Volumes for Scene Rendering and Manipulation
Verica Lazova, Vladimir Guzov, Kyle Olszewski et al.
Cooperative Self-Training for Multi-Target Adaptive Semantic Segmentation
Yangsong Zhang, Subhankar Roy, Hongtao Lu et al.
COPE: End-to-End Trainable Constant Runtime Object Pose Estimation
Stefan Thalhammer, Timothy Patten, Markus Vincze