Papers
Instance-Dependent Noisy Label Learning via Graphical Modelling
Arpit Garg, Cuong Nguyen, Rafael Felix et al.
Intention-Conditioned Long-Term Human Egocentric Action Anticipation
Esteve Valls Mascaró, Hyemin Ahn, Dongheui Lee
Interacting Hand-Object Pose Estimation via Dense Mutual Attention
Rong Wang, Wei Mao, Hongdong Li
Interactive Image Manipulation With Complex Text Instructions
Ryugo Morita, Zhiqiang Zhang, Man M. Ho et al.
Interpolated SelectionConv for Spherical Images and Surfaces
David Hart, Michael Whitney, Bryan Morse
Interpreting Disparate Privacy-Utility Tradeoff in Adversarial Learning via Attribute Correlation
Likun Zhang, Yahong Chen, Ang Li et al.
Intra-Batch Supervision for Panoptic Segmentation on High-Resolution Images
Daan de Geus, Gijs Dubbelman
Intra-Source Style Augmentation for Improved Domain Generalization
Yumeng Li, Dan Zhang, Margret Keuper et al.
Is Bigger Always Better? An Empirical Study on Efficient Architectures for Style Transfer and Beyond
Jie An, Tao Li, Haozhi Huang et al.
I See-Through You: A Framework for Removing Foreground Occlusion in Both Sparse and Dense Light Field Images
Jiwan Hur, Jae Young Lee, Jaehyun Choi et al.
Is Your Noise Correction Noisy? PLS: Robustness To Label Noise With Two Stage Detection
Paul Albert, Eric Arazo, Tarun Krishna et al.
Jointly Learning Band Selection and Filter Array Design for Hyperspectral Imaging
Ke Li, Dengxin Dai, Luc Van Gool
Joint Video Rolling Shutter Correction and Super-Resolution
Akash Gupta, Sudhir Kumar Singh, Amit K. Roy-Chowdhury
Kernel-Aware Burst Blind Super-Resolution
Wenyi Lian, Shanglian Peng
Keys To Better Image Inpainting: Structure and Texture Go Hand in Hand
Jitesh Jain, Yuqian Zhou, Ning Yu et al.
Kinematic-Aware Hierarchical Attention Network for Human Pose Estimation in Videos
Kyung-Min Jin, Byoung-Sung Lim, Gun-Hee Lee et al.
Knowing What To Label for Few Shot Microscopy Image Cell Segmentation
Youssef Dawoud, Arij Bouazizi, Katharina Ernst et al.
K-VQG: Knowledge-Aware Visual Question Generation for Common-Sense Acquisition
Kohei Uehara, Tatsuya Harada
LAB: Learnable Activation Binarizer for Binary Neural Networks
Sieger Falkena, Hadi Jamali-Rad, Jan van Gemert
Language-Free Training for Zero-Shot Video Grounding
Dahye Kim, Jungin Park, Jiyoung Lee et al.
Large-Scale Open-Set Classification Protocols for ImageNet
Andres Palechor, Annesha Bhoumik, Manuel Günther
Large-to-Small Image Resolution Asymmetry in Deep Metric Learning
Pavel Suma, Giorgos Tolias
LAVA: Label-Efficient Visual Learning and Adaptation
Islam Nassar, Munawar Hayat, Ehsan Abbasnejad et al.
LayerDoc: Layer-Wise Extraction of Spatial Hierarchical Structure in Visually-Rich Documents
Puneet Mathur, Rajiv Jain, Ashutosh Mehra et al.
LCS: Learning Compressible Subspaces for Efficient, Adaptive, Real-Time Network Compression at Inference Time
Elvis Nunez, Maxwell Horton, Anish Prabhu et al.