Papers
Label Augmentation As Inter-Class Data Augmentation for Conditional Image Synthesis With Imbalanced Data
Kai Katsumata, Duc Minh Vo, Hideki Nakayama
Label-Free Synthetic Pretraining of Object Detectors
Hei Law, Jia Deng
Label Shift Estimation for Class-Imbalance Problem: A Bayesian Approach
Changkun Ye, Russell Tsuchida, Lars Petersson et al.
LatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and Restoration
Ran Liu, Sahil Khose, Jingyun Xiao et al.
Latent Feature-Guided Diffusion Models for Shadow Removal
Kangfu Mei, Luis Figueroa, Zhe Lin et al.
Latent-Guided Exemplar-Based Image Re-Colorization
Wenjie Yang, Ning Xu, Yifei Fan
LatentPaint: Image Inpainting in Latent Space With Diffusion Models
Ciprian Corneanu, Raghudeep Gadde, Aleix M. Martinez
Late to the Party? On-Demand Unlabeled Personalized Federated Learning
Ohad Amosy, Gal Eyal, Gal Chechik
LaughTalk: Expressive 3D Talking Head Generation With Laughter
Kim Sung-Bin, Lee Hyun, Da Hye Hong et al.
LAVSS: Location-Guided Audio-Visual Spatial Audio Separation
Yuxin Ye, Wenming Yang, Yapeng Tian
Layer-Wise Auto-Weighting for Non-Stationary Test-Time Adaptation
Junyoung Park, Jin Kim, Hyeongjun Kwon et al.
Learnable Cube-Based Video Encryption for Privacy-Preserving Action Recognition
Yuchi Ishikawa, Masayoshi Kondo, Hirokatsu Kataoka
Learning-Based Spotlight Position Optimization for Non-Line-of-Sight Human Localization and Posture Classification
Sreenithy Chandran, Tatsuya Yatagawa, Hiroyuki Kubo et al.
Learning Better Keypoints for Multi-Object 6DoF Pose Estimation
Yangzheng Wu, Michael Greenspan
Learning Class and Domain Augmentations for Single-Source Open-Domain Generalization
Prathmesh Bele, Valay Bundele, Avigyan Bhattacharya et al.
Learning Generalizable Perceptual Representations for Data-Efficient No-Reference Image Quality Assessment
Suhas Srinath, Shankhanil Mitra, Shika Rao et al.
Learning Intra-Class Multimodal Distributions With Orthonormal Matrices
Jumpei Goto, Yohei Nakata, Kiyofumi Abe et al.
Learning Low-Rank Latent Spaces With Simple Deterministic Autoencoder: Theoretical and Empirical Insights
Alokendu Mazumder, Tirthajit Baruah, Bhartendu Kumar et al.
Learning Quality Labels for Robust Image Classification
Xiaosong Wang, Ziyue Xu, Dong Yang et al.
Learning Residual Elastic Warps for Image Stitching Under Dirichlet Boundary Condition
Minsu Kim, Yongjun Lee, Woo Kyoung Han et al.
Learning Robust Deep Visual Representations From EEG Brain Recordings
Prajwal Singh, Dwip Dalal, Gautam Vashishtha et al.
Learning Saliency From Fixations
Yasser Abdelaziz Dahou Djilali, Kevin McGuinness, Noel O’Connor
Learning the What and How of Annotation in Video Object Segmentation
Thanos Delatolas, Vicky Kalogeiton, Dim P. Papadopoulos
Learning To Adapt CLIP for Few-Shot Monocular Depth Estimation
Xueting Hu, Ce Zhang, Yi Zhang et al.
Learning To Compose SuperWeights for Neural Parameter Allocation Search
Piotr Teterwak, Soren Nelson, Nikoli Dryden et al.