2025 Poster Papers
15,759 papers found • Page 309 of 316
WalkVLM: Aid Visually Impaired People Walking by Vision Language Model
Zhiqiang Yuan, Ting Zhang, Yeshuang Zhu et al.
WALL-E: World Alignment by NeuroSymbolic Learning improves World Model-based LLM Agents
Siyu Zhou, Tianyi Zhou, Yijun Yang et al.
WaLRUS: Wavelets for Long range Representation Using State Space Methods
Hossein Babaei, Mel White, Sina Alemohammad et al.
Ward: Provable RAG Dataset Inference via LLM Watermarks
Nikola Jovanović, Robin Staab, Maximilian Baader et al.
WardropNet: Traffic Flow Predictions via Equilibrium-Augmented Learning
Kai Jungel, Dario Paccagnan, Axel Parmentier et al.
Warm Diffusion: Recipe for Blur-Noise Mixture Diffusion Models
Hao-Chien Hsueh, Wen-Hsiao Peng, Ching-Chun Huang
WarpGAN: Warping-Guided 3D GAN Inversion with Style-Based Novel View Inpainting
Kaitao Huang, Yan Yan, Jing-Hao Xue et al.
WarpHE4D: Dense 4D Head Map toward Full Head Reconstruction
Jongseob Yun, Yong-Hoon Kwon, Min-Gyu Park et al.
WASP: Benchmarking Web Agent Security Against Prompt Injection Attacks
Ivan Evtimov, Arman Zharmagambetov, Aaron Grattafiori et al.
Wasserstein Convergence of Critically Damped Langevin Diffusions
Stanislas Strasman, Sobihan Surendran, Claire Boyer et al.
Wasserstein Distances, Neuronal Entanglement, and Sparsity
Shashata Sawmya, Linghao Kong, Ilia Markov et al.
Wasserstein Flow Matching: Generative Modeling Over Families of Distributions
Doron Haviv, Aram-Alexandre Pooladian, Dana Pe'er et al.
Wasserstein Policy Optimization
David Pfau, Ian Davies, Diana Borsa et al.
Wasserstein-Regularized Conformal Prediction under General Distribution Shift
Rui Xu, Chao Chen, Yue Sun et al.
Wasserstein Transfer Learning
Kaicheng Zhang, Sinian Zhang, Doudou Zhou et al.
WATCH: Adaptive Monitoring for AI Deployments via Weighted-Conformal Martingales
Drew Prinster, Xing Han, Anqi Liu et al.
Watch Less, Do More: Implicit Skill Discovery for Video-Conditioned Policy
Wang, Zongqing Lu
Watch Out Your Album! On the Inadvertent Privacy Memorization in Multi-Modal Large Language Models
Tianjie Ju, Yi Hua, Hao Fei et al.
Watermark Anything With Localized Messages
Tom Sander, Pierre Fernandez, Alain Oliviero Durmus et al.
Watermarking Autoregressive Image Generation
Nikola Jovanović, Ismail Labiad, Tomas Soucek et al.
Watermarking One for All: A Robust Watermarking Scheme Against Partial Image Theft
Gaozhi Liu, Silu Cao, Zhenxing Qian et al.
Wav2Sem: Plug-and-Play Audio Semantic Decoupling for 3D Speech-Driven Facial Animation
Hao Li, Ju Dai, Xin Zhao et al.
Wavelet and Prototype Augmented Query-based Transformer for Pixel-level Surface Defect Detection
Feng Yan, Xiaoheng Jiang, Yang Lu et al.
Wavelet-based Positional Representation for Long Context
Yui Oka, Taku Hasegawa, Kyosuke Nishida et al.
Wavelet Diffusion Neural Operator
Peiyan Hu, Rui Wang, Xiang Zheng et al.
Wavelet Policy: Lifting Scheme for Policy Learning in Long-Horizon Tasks
Hao Huang, Shuaihang Yuan, Geeta Chandra Raju Bethala et al.
Wave-MambaAD: Wavelet-driven State Space Model for Multi-class Unsupervised Anomaly Detection
Qiao Zhang, Mingwen Shao, Xinyuan Chen et al.
WaveMamba: Wavelet-Driven Mamba Fusion for RGB-Infrared Object Detection
Haodong Zhu, Wenhao Dong, Linlin Yang et al.
WAVE: Warp-Based View Guidance for Consistent Novel View Synthesis Using a Single Image
Jiwoo Park, Tae Choi, Youngjun Jun et al.
WAVE: Weight Templates for Adaptive Initialization of Variable-sized Models
Fu Feng, Yucheng Xie, Jing Wang et al.
Wavy Transformer
Satoshi Noguchi, Yoshinobu Kawahara
Wayward Concepts In Multimodal Models
Brandon Trabucco, Max Gurinas, Kyle Doherty et al.
Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors
Peiran Xu, Yadong MU
Weakly Supervised Anomaly Detection via Dual-Tailed Kernel
Walid Durani, Tobias Nitzl, Claudia Plant et al.
Weakly Supervised Contrastive Adversarial Training for Learning Robust Features from Semi-supervised Data
Lilin Zhang, Chengpei Wu, Ning Yang
Weakly-Supervised Learning of Dense Functional Correspondences
Stefan Stojanov, Linan Zhao, Yunzhi Zhang et al.
Weakly Supervised Semantic Segmentation via Progressive Confidence Region Expansion
Xiangfeng Xu, Pinyi Zhang, Wenxuan Huang et al.
Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models
Quan Zhang, Jinwei Fang, Rui Yuan et al.
Weakly Supervised Visible-Infrared Person Re-Identification via Heterogeneous Expert Collaborative Consistency Learning
Yafei Zhang, Lingqi Kong, Huafeng Li et al.
WeakMCN: Multi-task Collaborative Network for Weakly Supervised Referring Expression Comprehension and Segmentation
Silin Cheng, Yang Liu, Xinwei He et al.
Weak-shot Keypoint Estimation via Keyness and Correspondence Transfer
Junjie Chen, Zeyu Luo, Zezheng Liu et al.
Weak-to-Strong Generalization Even in Random Feature Networks, Provably
Marko Medvedev, Kaifeng Lyu, Dingli Yu et al.
Weak to Strong Generalization for Large Language Models with Multi-capabilities
Yucheng Zhou, Jianbing Shen, Yu Cheng
Weak-to-Strong Generalization Through the Data-Centric Lens
Changho Shin, John Cooper, Frederic Sala
Weak-to-Strong Generalization under Distribution Shifts
Myeongho Jeon, Jan Sobotka, Suhwan Choi et al.
Weak-to-Strong Jailbreaking on Large Language Models
Xuandong Zhao, Xianjun Yang, Tianyu Pang et al.
Weak-to-Strong Preference Optimization: Stealing Reward from Weak Aligned Model
Wenhong Zhu, Zhiwei He, Xiaofeng Wang et al.
WearVQA: A Visual Question Answering Benchmark for Wearables in Egocentric Authentic Real-world scenarios
Eun Chang, Zhuangqun Huang, Yiwei Liao et al.
WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion
Yang Wu, Yun Zhu, Kaihua Zhang et al.
WeatherPrompt: Multi-modality Representation Learning for All-Weather Drone Visual Geo-Localization
Jiahao Wen, Hang Yu, Zhedong Zheng