Poster Papers
24,624 papers found • Page 486 of 493
Conference
USE: Universal Segment Embeddings for Open-Vocabulary Image Segmentation
Xiaoqi Wang, Wenbin He, Xiwei Xuan et al.
Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers
Xiaoqiang Lin, Zhaoxuan Wu, Zhongxiang Dai et al.
Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model
Kai Yang, Jian Tao, Jiafei Lyu et al.
Using Left and Right Brains Together: Towards Vision and Language Planning
Jun CEN, Chenfei Wu, Xiao Liu et al.
Using My Artistic Style? You Must Obtain My Authorization
Xiuli Bi, Haowei Liu, Weisheng Li et al.
Using Uncertainty Quantification to Characterize and Improve Out-of-Domain Learning for PDEs
Chandra Mouli Sekar, Danielle Robinson, Shima Alizadeh et al.
USTAD: Unified Single-model Training Achieving Diverse Scores for Information Retrieval
Seungyeon Kim, Ankit Singh Rawat, Manzil Zaheer et al.
Utility-Fairness Trade-Offs and How to Find Them
Sepehr Dehdashtian, Bashir Sadeghi, Vishnu Naresh Boddeti
U-VAP: User-specified Visual Appearance Personalization via Decoupled Self Augmentation
You Wu, Kean Liu, Xiaoyue Mi et al.
UVEB: A Large-scale Benchmark and Baseline Towards Real-World Underwater Video Enhancement
yaofeng xie, Lingwei Kong, Kai Chen et al.
UV-IDM: Identity-Conditioned Latent Diffusion Model for Face UV-Texture Generation
Hong Li, Yutang Feng, Song Xue et al.
V2X-Real: a Largs-Scale Dataset for Vehicle-to-Everything Cooperative Perception
Hao Xiang, Xin Xia, Zhaoliang Zheng et al.
Vague Prototype-Oriented Diffusion Model for Multi-Class Anomaly Detection
yuxin li, Yaoxuan Feng, Bo Chen et al.
Validating Privacy-Preserving Face Recognition under a Minimum Assumption
Hui Zhang, Xingbo Dong, YenLungLai et al.
ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation
Kim-Celine Kahl, Carsten Lüth, Maximilian Zenk et al.
Vamos: Versatile Action Models for Video Understanding
Shijie Wang, Qi Zhao, Minh Quan et al.
Vanilla Bayesian Optimization Performs Great in High Dimensions
Carl Hvarfner, Erik Hellsten, Luigi Nardi
Vanishing Gradients in Reinforcement Finetuning of Language Models
Noam Razin, Hattie Zhou, Omid Saremi et al.
VAREN: Very Accurate and Realistic Equine Network
Silvia Zuffi, Ylva Mellbin, Ci Li et al.
Variance-aware Regret Bounds for Stochastic Contextual Dueling Bandits
Qiwei Di, Tao Jin, Yue Wu et al.
Variance-enlarged Poisson Learning for Graph-based Semi-Supervised Learning with Extremely Sparse Labeled Data
Xiong Zhou, Xianming Liu, Hao Yu et al.
Variance Reduced Halpern Iteration for Finite-Sum Monotone Inclusions
Xufeng Cai, Ahmet Alacaoglu, Jelena Diakonikolas
Variance-reduced Zeroth-Order Methods for Fine-Tuning Language Models
Tanmay Gautam, Youngsuk Park, Hao Zhou et al.
Variational Inference with Coverage Guarantees in Simulation-Based Inference
Yash Patel, Declan McNamara, Jackson Loper et al.
Variational Linearized Laplace Approximation for Bayesian Deep Learning
Luis A. Ortega, Simon Rodriguez Santana, Daniel Hernández-Lobato
Variational Partial Group Convolutions for Input-Aware Partial Equivariance of Rotations and Color-Shifts
Hyunsu Kim, Ye Gon Kim, Hongseok Yang et al.
Variational Schrödinger Diffusion Models
Wei Deng, Weijian Luo, Yixin Tan et al.
Various Lengths, Constant Speed: Efficient Language Modeling with Lightning Attention
Zhen Qin, Weigao Sun, Dong Li et al.
Vary: Scaling up the Vision Vocabulary for Large Vision-Language Models
Haoran Wei, Lingyu Kong, Jinyue Chen et al.
VastGaussian: Vast 3D Gaussians for Large Scene Reconstruction
Jiaqi Lin, Zhihao Li, Xiao Tang et al.
VCD-Texture: Variance Alignment based 3D-2D Co-Denoising for Text-Guided Texturing
Shang Liu, Chaohui Yu, Chenjie Cao et al.
VCoder: Versatile Vision Encoders for Multimodal Large Language Models
Jitesh Jain, Jianwei Yang, Humphrey Shi
VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation
Zhen Qu, Xian Tao, Mukesh Prasad et al.
VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections
Dongqi Fu, Zhigang Hua, Yan Xie et al.
VDC: Versatile Data Cleanser based on Visual-Linguistic Inconsistency by Multimodal Large Language Models
Zihao Zhu, Mingda Zhang, Shaokui Wei et al.
V-DETR: DETR with Vertex Relative Position Encoding for 3D Object Detection
Yichao Shen, Zigang Geng, YUHUI YUAN et al.
VeCLIP: Improving CLIP Training via Visual-enriched Captions
Zhengfeng Lai, Haotian Zhang, Bowen Zhang et al.
Vector Graphics Generation via Mutually Impulsed Dual-domain Diffusion
Zhongyin Zhao, Ye Chen, Zhangli Hu et al.
Vector Quantization Pretraining for EEG Time Series with Random Projection and Phase Alignment
Haokun Gui, Xiucheng Li, Xinyang Chen
VEGS: View Extrapolation of Urban Scenes in 3D Gaussian Splatting using Learned Priors
Sungwon Hwang, Min-Jung Kim, Taewoong Kang et al.
Veil Privacy on Visual Data: Concealing Privacy for Humans, Unveiling for DNNs
Shuchao Pang, Ruhao Ma, Bing Li et al.
VEON: Vocabulary-Enhanced Occupancy Prediction
Jilai Zheng, Pin Tang, Zhongdao Wang et al.
VeRA: Vector-based Random Matrix Adaptation
Dawid Kopiczko, Tijmen Blankevoort, Yuki Asano
Verification of Machine Unlearning is Fragile
Binchi Zhang, Zihan Chen, Cong Shen et al.
Verifying message-passing neural networks via topology-based bounds tightening
Christopher Hojny, Shiqiang Zhang, Juan Campos et al.
VersatileGaussian: Real-time Neural Rendering for Versatile Tasks using Gaussian Splatting
Renjie Li, Zhiwen Fan, Bohua Wang et al.
Versatile Incremental Learning: Towards Class and Domain-Agnostic Incremental Learning
Minyeong Park, Jae-Ho Lee, Gyeong-Moon Park
Versatile Medical Image Segmentation Learned from Multi-Source Datasets via Model Self-Disambiguation
Xiaoyang Chen, Hao Zheng, Yuemeng LI et al.
Versatile Navigation Under Partial Observability via Value-guided Diffusion Policy
Gengyu Zhang, Hao Tang, Yan Yan
VertiBench: Advancing Feature Distribution Diversity in Vertical Federated Learning Benchmarks
Zhaomin Wu, Junyi Hou, Bingsheng He