Papers
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.
Learnable Human Mesh Triangulation for 3D Human Pose and Shape Estimation
Sungho Chun, Sungbum Park, Ju Yong Chang
Learning 3D Human Pose Estimation From Dozens of Datasets Using a Geometry-Aware Autoencoder To Bridge Between Skeleton Formats
István Sárándi, Alexander Hermans, Bastian Leibe
Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning
Donald Shenaj, Eros Fanì, Marco Toldo et al.
Learning Attention Propagation for Compositional Zero-Shot Learning
Muhammad Gul Zain Ali Khan, Muhammad Ferjad Naeem, Luc Van Gool et al.
Learning by Hallucinating: Vision-Language Pre-Training With Weak Supervision
Tzu-Jui Julius Wang, Jorma Laaksonen, Tomas Langer et al.
Learning Classifiers of Prototypes and Reciprocal Points for Universal Domain Adaptation
Sungsu Hur, Inkyu Shin, Kwanyong Park et al.
Learning Few-Shot Segmentation From Bounding Box Annotations
Byeolyi Han, Tae-Hyun Oh
Learning Graph Variational Autoencoders With Constraints and Structured Priors for Conditional Indoor 3D Scene Generation
Aditya Chattopadhyay, Xi Zhang, David Paul Wipf et al.
Learning How to MIMIC: Using Model Explanations To Guide Deep Learning Training
Matthew Watson, Bashar Awwad Shiekh Hasan, Noura Al Moubayed
Learning Incoherent Light Emission Steering From Metasurfaces Using Generative Models
Prasad P. Iyer, Saaketh Desai, Sadhvikas Addamane et al.
Learning Latent Structural Relations With Message Passing Prior
Shaogang Ren, Hongliang Fei, Dingcheng Li et al.
Learning Lightweight Neural Networks via Channel-Split Recurrent Convolution
Guojun Wu, Xin Zhang, Ziming Zhang et al.
Learning Style Subspaces for Controllable Unpaired Domain Translation
Gaurav Bhatt, Vineeth N. Balasubramanian
Learning To Detect 3D Lanes by Shape Matching and Embedding
Ruixin Liu, Zhihao Guan, Zejian Yuan et al.
Leveraging Local Patch Differences in Multi-Object Scenes for Generative Adversarial Attacks
Abhishek Aich, Shasha Li, Chengyu Song et al.
Leveraging Off-the-Shelf Diffusion Model for Multi-Attribute Fashion Image Manipulation
Chaerin Kong, DongHyeon Jeon, Ohjoon Kwon et al.
Li3DeTr: A LiDAR Based 3D Detection Transformer
Gopi Krishna Erabati, Helder Araujo
Lightweight Network for Video Motion Magnification
Jasdeep Singh, Subrahmanyam Murala, G. Sankara Raju Kosuru
Lightweight Video Denoising Using Aggregated Shifted Window Attention
Lydia Lindner, Alexander Effland, Filip Ilic et al.