Poster Papers
24,624 papers found • Page 400 of 493
Conference
Language Embedded 3D Gaussians for Open-Vocabulary Scene Understanding
Jin-Chuan Shi, Miao Wang, Haobin Duan et al.
Language Generation with Strictly Proper Scoring Rules
Chenze Shao, Fandong Meng, Yijin Liu et al.
Language-guided Image Reflection Separation
Haofeng Zhong, Yuchen Hong, Shuchen Weng et al.
Language-Image Pre-training with Long Captions
Kecheng Zheng, Yifei Zhang, Wei Wu et al.
Language-Informed Visual Concept Learning
Sharon Lee, Yunzhi Zhang, Shangzhe Wu et al.
Language-Interfaced Tabular Oversampling via Progressive Imputation and Self-Authentication
June Yong Yang, Geondo Park, Joowon Kim et al.
Language Model Beats Diffusion - Tokenizer is key to visual generation
Lijun Yu, José Lezama, Nitesh Bharadwaj Gundavarapu et al.
Language Model Cascades: Token-Level Uncertainty And Beyond
Neha Gupta, Harikrishna Narasimhan, Wittawat Jitkrittum et al.
Language Model Decoding as Direct Metrics Optimization
Haozhe Ji, Pei Ke, Hongning Wang et al.
Language Model Detectors Are Easily Optimized Against
Charlotte Nicks, Eric Mitchell, Rafael Rafailov et al.
Language Model Guided Interpretable Video Action Reasoning
Ning Wang, Guangming Zhu, Hongsheng Li et al.
Language Modeling Is Compression
Gregoire Deletang, Anian Ruoss, Paul-Ambroise Duquenne et al.
Language Model Inversion
John X. Morris, Wenting Zhao, Justin Chiu et al.
Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch
Le Yu, Bowen Yu, Haiyang Yu et al.
Language Models as Black-Box Optimizers for Vision-Language Models
Shihong Liu, Samuel Yu, Zhiqiu Lin et al.
Language Models as Science Tutors
Alexis Chevalier, Jiayi Geng, Alexander Wettig et al.
Language Models as Semantic Indexers
Bowen Jin, Hansi Zeng, Guoyin Wang et al.
Language Model Self-improvement by Reinforcement Learning Contemplation
Jing-Cheng Pang, Pengyuan Wang, Kaiyuan Li et al.
Language Models Represent Beliefs of Self and Others
Wentao Zhu, Zhining Zhang, Yizhou Wang
Language Models with Conformal Factuality Guarantees
Christopher Mohri, Tatsunori Hashimoto
Language-only Training of Zero-shot Composed Image Retrieval
Geonmo Gu, Sanghyuk Chun, Wonjae Kim et al.
LAN: Learning to Adapt Noise for Image Denoising
Changjin Kim, Tae Hyun Kim, Sungyong Baik
Laplacian-guided Entropy Model in Neural Codec with Blur-dissipated Synthesis
Atefeh Khoshkhahtinat, Ali Zafari, Piyush Mehta et al.
LaPose: Laplacian Mixture Shape Modeling for RGB-Based Category-Level Object Pose Estimation
Ruida Zhang, Ziqin Huang, Gu Wang et al.
LAPT: Label-driven Automated Prompt Tuning for OOD Detection with Vision-Language Models
Yabin Zhang, Wenjie Zhu, Chenhang He et al.
LaRa: Efficient Large-Baseline Radiance Fields
Anpei Chen, Haofei Xu, Stefano Esposito et al.
LaRE^2: Latent Reconstruction Error Based Method for Diffusion-Generated Image Detection
Yunpeng Luo, Junlong Du, Ke Yan et al.
Large Language Model Cascades with Mixture of Thought Representations for Cost-Efficient Reasoning
Murong Yue, Jie Zhao, Min Zhang et al.
Large Language Models are Good Prompt Learners for Low-Shot Image Classification
Zhaoheng Zheng, Jingmin Wei, Xuefeng Hu et al.
Large Language Models as Analogical Reasoners
Michihiro Yasunaga, Xinyun Chen, Yujia Li et al.
Large Language Models as Automated Aligners for benchmarking Vision-Language Models
Yuanfeng Ji, Chongjian GE, Weikai Kong et al.
Large Language Models as Generalizable Policies for Embodied Tasks
Andrew Szot, Max Schwarzer, Harsh Agrawal et al.
Large Language Models as Optimizers
Chengrun Yang, Xuezhi Wang, Yifeng Lu et al.
Large Language Models as Tool Makers
Tianle Cai, Xuezhi Wang, Tengyu Ma et al.
Large Language Models Can Automatically Engineer Features for Few-Shot Tabular Learning
Sungwon Han, Jinsung Yoon, Sercan Arik et al.
Large Language Models Cannot Self-Correct Reasoning Yet
Jie Huang, Xinyun Chen, Swaroop Mishra et al.
Large Language Models to Enhance Bayesian Optimization
Tennison Liu, Nicolás Astorga, Nabeel Seedat et al.
Large Motion Model for Unified Multi-Modal Motion Generation
Mingyuan Zhang, Daisheng Jin, Chenyang Gu et al.
Large Scale Dataset Distillation with Domain Shift
Noel Loo, Alaa Maalouf, Ramin Hasani et al.
Large-Scale Multi-Hypotheses Cell Tracking Using Ultrametric Contours Maps
Jordao Bragantini, Merlin Lange, Loïc A Royer
Large-scale Reinforcement Learning for Diffusion Models
Yinan Zhang, Eric Tzeng, Yilun Du et al.
Large-scale Training of Foundation Models for Wearable Biosignals
Salar Abbaspourazad, Oussama Elachqar, Andrew Miller et al.
Large-Vocabulary 3D Diffusion Model with Transformer
Ziang Cao, Fangzhou Hong, Tong Wu et al.
Larimar: Large Language Models with Episodic Memory Control
Payel Das, Subhajit Chaudhury, Elliot Nelson et al.
LASA: Instance Reconstruction from Real Scans using A Large-scale Aligned Shape Annotation Dataset
Haolin Liu, Chongjie Ye, Yinyu Nie et al.
LASER: Linear Compression in Wireless Distributed Optimization
Ashok Vardhan Makkuva, Marco Bondaschi, Thijs Vogels et al.
LASIL: Learner-Aware Supervised Imitation Learning For Long-term Microscopic Traffic Simulation
Ke Guo, Zhenwei Miao, Wei Jing et al.
LASO: Language-guided Affordance Segmentation on 3D Object
Yicong Li, Na Zhao, Junbin Xiao et al.
LASS3D: Language-Assisted Semi-Supervised 3D Semantic Segmentation with Progressive Unreliable Data Exploitation
Jianan Li, Qiulei Dong
Latency Correction for Event-guided Deblurring and Frame Interpolation
Yixin Yang, Jinxiu Liang, Bohan Yu et al.