All Papers
34,598 papers found • Page 573 of 692
Conference
Leveraging Near-Field Lighting for Monocular Depth Estimation from Endoscopy Videos
Akshay Paruchuri, Samuel Ehrenstein, Shuxian Wang et al.
Leveraging Normalization Layer in Adapters with Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning
YongJin Yang, Taehyeon Kim, Se-Young Yun
Leveraging Optimization for Adaptive Attacks on Image Watermarks
Nils Lukas, Abdelrahman Ahmed, Lucas Fenaux et al.
Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning
Xin Yu, Rongye Shi, Pu Feng et al.
Leveraging Predicate and Triplet Learning for Scene Graph Generation
Jiankai Li, Yunhong Wang, Xiefan Guo et al.
Leveraging Representations from Intermediate Encoder-blocks for Synthetic Image Detection
Christos Koutlis, Symeon Papadopoulos
Leveraging scale- and orientation-covariant features for planar motion estimation
Marcus Valtonen Örnhag, Alberto Jaenal
Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference
Marvin Schmitt, Desi Ivanova, Daniel Habermann et al.
Leveraging temporal contextualization for video action recognition
Minji Kim, Dongyoon Han, Taekyung Kim et al.
Leveraging Text Localization for Scene Text Removal via Text-aware Masked Image Modeling
Zixiao Wang, Hongtao Xie, YuXin Wang et al.
Leveraging Thermal Modality to Enhance Reconstruction in Low-Light Conditions
Jiacong Xu, Mingqian Liao, Ram Prabhakar Kathirvel et al.
Leveraging Uncertainty Estimates To Improve Classifier Performance
Gundeep Arora, Srujana Merugu, Anoop Saladi et al.
Leveraging Unpaired Data for Vision-Language Generative Models via Cycle Consistency
Tianhong Li, Sangnie Bhardwaj, Yonglong Tian et al.
Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification
Sravanti Addepalli, Ashish Asokan, Lakshay Sharma et al.
Leveraging VLM-Based Pipelines to Annotate 3D Objects
Rishabh Kabra, Loic Matthey, Alexander Lerchner et al.
LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views
Yuji Roh, Qingyun Liu, Huan Gui et al.
Lewis's Signaling Game as beta-VAE For Natural Word Lengths and Segments
Ryo Ueda, TADAHIRO TANIGUCHI
LF-ViT: Reducing Spatial Redundancy in Vision Transformer for Efficient Image Recognition
Youbing Hu, Yun Cheng, Anqi Lu et al.
LG-Gaze: Learning Geometry-aware Continuous Prompts for Language-Guided Gaze Estimation
Pengwei Yin, Jingjing Wang, Guanzhong Zeng et al.
LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation
Jiaxiang Tang, Zhaoxi Chen, Xiaokang Chen et al.
LGMRec: Local and Global Graph Learning for Multimodal Recommendation
Zhiqiang Guo, Jianjun Li, Guohui Li et al.
LHRS-Bot: Empowering Remote Sensing with VGI-Enhanced Large Multimodal Language Model
Dilxat Muhtar, Zhenshi Li, Feng Gu et al.
Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor
Han Liu, Siyang Zhao, Xiaotong Zhang et al.
Libra: Building Decoupled Vision System on Large Language Models
Yifan Xu, Xiaoshan Yang, Yaguang Song et al.
LIDAO: Towards Limited Interventions for Debiasing (Large) Language Models
Tianci Liu, Haoyu Wang, Shiyang Wang et al.
LiDAR4D: Dynamic Neural Fields for Novel Space-time View LiDAR Synthesis
Zehan Zheng, Fan Lu, Weiyi Xue et al.
LiDAR-based All-weather 3D Object Detection via Prompting and Distilling 4D Radar
Yujeong Chae, HYEONSEONG KIM, Changgyoon Oh et al.
LiDAR-based Person Re-identification
Wenxuan Guo, Zhiyu Pan, Yingping Liang et al.
LiDAR-Event Stereo Fusion with Hallucinations
Luca Bartolomei, Matteo Poggi, Andrea Conti et al.
LidaRF: Delving into Lidar for Neural Radiance Field on Street Scenes
Shanlin Sun, Bingbing Zhuang, Ziyu Jiang et al.
LiDAR-Net: A Real-scanned 3D Point Cloud Dataset for Indoor Scenes
Yanwen Guo, Yuanqi Li, Dayong Ren et al.
LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object Detection
Sifan Zhou, Liang Li, Xinyu Zhang et al.
LiDAR: Sensing Linear Probing Performance in Joint Embedding SSL Architectures
Vimal Thilak, Chen Huang, Omid Saremi et al.
Lie Group Decompositions for Equivariant Neural Networks
Mircea Mironenco, Patrick Forré
Lie Neurons: Adjoint-Equivariant Neural Networks for Semisimple Lie Algebras
Tzu-Yuan Lin, Minghan Zhu, Maani Ghaffari
Lift3D: Zero-Shot Lifting of Any 2D Vision Model to 3D
Mukund Varma T, Peihao Wang, Zhiwen Fan et al.
LiFT: A Surprisingly Simple Lightweight Feature Transform for Dense ViT Descriptors
Saksham Suri, Matthew Walmer, Kamal Gupta et al.
Lifting Architectural Constraints of Injective Flows
Peter Sorrenson, Felix Draxler, Armand Rousselot et al.
Lifting by Image – Leveraging Image Cues for Accurate 3D Human Pose Estimation
Feng Zhou, Jianqin Yin, Peiyang Li
Light and Optimal Schrödinger Bridge Matching
Nikita Gushchin, Sergei Kholkin, Evgeny Burnaev et al.
LightenDiffusion: Unsupervised Low-Light Image Enhancement with Latent-Retinex Diffusion Models
Hai Jiang, Ao Luo, Xiaohong Liu et al.
LightHGNN: Distilling Hypergraph Neural Networks into MLPs for 100x Faster Inference
Yifan Feng, Yihe Luo, Shihui Ying et al.
Light-in-Flight for a World-in-Motion
Jongho Lee, Ryan J Suess, Mohit Gupta
LightIt: Illumination Modeling and Control for Diffusion Models
Peter Kocsis, Kalyan Sunkavalli, Julien Philip et al.
Light-MILPopt: Solving Large-scale Mixed Integer Linear Programs with Lightweight Optimizer and Small-scale Training Dataset
Huigen Ye, Hua Xu, Hongyan Wang
LightOctree: Lightweight 3D Spatially-Coherent Indoor Lighting Estimation
Xuecan Wang, Shibang Xiao, Xiaohui Liang
Light Schrödinger Bridge
Alexander Korotin, Nikita Gushchin, Evgeny Burnaev
Light the Night: A Multi-Condition Diffusion Framework for Unpaired Low-Light Enhancement in Autonomous Driving
JINLONG LI, Baolu Li, Zhengzhong Tu et al.
Lightweight Image Super-Resolution via Flexible Meta Pruning
Yulun Zhang, Kai Zhang, Luc Van Gool et al.
Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps
Henry Li, Ronen Basri, Yuval Kluger